TOC: Python Programming

• First steps
  1. What is Python?
  2. What is needed to write a program?
  3. The source (code) of Python
  4. Python 2 vs. Python 3
  5. Installation
  6. Installation on Linux
  7. Installation on Apple Mac OSX
  8. Installation on MS Windows
  9. Installation of Anaconda
  10. Editors, IDEs
  11. Documentation
  12. Program types
  13. Python on the command line
  14. First script - hello world
  15. Examples
  16. Comments
  17. Variables
  18. Exercise: Hello world
  19. What is programming?
  20. What are the programming languages
  21. A written human language
  22. A programming language
  23. Words and punctuation matter!
  24. Types matter to Python (a bit)
  25. String vs int
  26. String vs float
  27. int and float
  28. Literals, Value Types in Python
  29. Floating point limitation
  30. Floating point -compare using round
  31. round
  32. Value Types in Numpy
  33. Rectangle (numerical operations)
  34. Multiply string
  35. Add numbers
  36. Add strings
  37. Exercise: Calculations
  38. Solution: Calculations
• Second steps
  1. Modules
  2. A main function
  3. The main function - called
  4. Indentation
  5. Conditional main
  6. Input - Output I/O
  7. print in Python 2
  8. print in Python 3
  9. print in Python 2 as if it was Python 3
  10. Exception: SyntaxError: Missing parentheses in call
  11. Prompting for user input in Python 2
  12. Prompting for user input in Python 3
  13. Python2 input or raw_input?
  14. Prompting both Python 2 and Python 3
  15. Add numbers entered by the user (oups)
  16. Add numbers entered by the user (fixed)
  17. Can we convert a string to int or float?
  18. How can I check if a string can be converted to a number?
  19. Converting string to int
  20. Converting float to int
  21. How can I check if a string can be converted to a number?
  22. Conditionals: if
  23. Conditionals: if - else
  24. Divide by 0
  25. Conditionals: if - else (other example)
  26. Conditionals: else if
  27. Conditionals: elif
  28. Ternary operator (Conditional Operator)
  29. Case or Switch in Python
  30. Exercise: Rectangle
  31. Exercise: Calculator
  32. Exercise: Age limit
  33. Exercise: What is this language?
  34. Exercise: Standard Input
  35. Solution: Area of rectangle
  36. Solution: Calculator
  37. Solution: Calculator eval
  38. Solution: Age limit
  39. Solution: What is this language?
  40. STDIN vs Command line arguments
  41. Command line arguments
  42. Command line arguments - len
  43. Command line arguments - exit
  44. Exercise: Rectangle (argv)
  45. Exercise: Calculator (argv)
  46. Solution: Area of rectangle (argv)
  47. Solution: Calculator (argv)
  48. Solution: Calculator eval
  49. Compilation vs. Interpretation
  50. Is Python compiled or interpreted?
  51. Flake8 checking
  52. Pylint checking
• Numbers
  1. Numbers
  2. Operators for Numbers
  3. Integer division and the __future__
  4. Pseudo Random Number (uniform distribution)
  5. Fixed random numbers
  6. Rolling dice - randrange
  7. Random choice
  8. built-in method
  9. Exception: TypeError: 'module' object is not callable
  10. Fixing the previous code
  11. Exception: AttributeError: module 'random' has no attribute
  12. Exercise: Number guessing game - level 0
  13. Exercise: Fruit salad
  14. Solution: Number guessing game - level 0
  15. Solution: Fruit salad
• Comparison and Boolean
  1. if statement again
  2. Comparison operators
  3. Compare numbers, compare strings
  4. Do NOT Compare different types!
  5. Complex if statement with boolean operators
  6. Chained expressions
  7. Boolean operators
  8. Boolean truth tables
  9. Boolean values: True and False
  10. Using True and False in variables
  11. Comparison returns True or False
  12. Assign comparisons to variables
  13. Flag
  14. Toggle
  15. Short circuit
  16. Short circuit fixed
  17. Does this value count as True or False?
  18. True and False values in Python
  19. Incorrect use of conditions
  20. Exercise: compare numbers
  21. Exercise: compare strings
  22. Solution: compare numbers
  23. Solution: compare strings
• Strings
  1. Single quoted and double quoted strings
  2. Long lines
  3. Multiline strings
  4. Triple quoted strings (multiline)
  5. Triple quoted comments - documentation
  6. String length (len)
  7. String repetition and concatenation
  8. A character in a string
  9. String slice (instead of substr)
  10. Change a string
  11. How to change a string
  12. String copy
  13. String functions and methods (len, upper, lower)
  14. index in string
  15. index in string with range
  16. Find all in the string
  17. rindex in string with range
  18. find in string
  19. in string
  20. index if in string
  21. Encodings: ASCII, Windows-1255, Unicode
  22. raw strings
  23. ord
  24. chr - number to character
  25. Exercise: one string in another string
  26. Exercise: Character to Unicode-8 - CLI
  27. Exercise: from Unicode to character - CLI
  28. Exercise: ROT13
  29. Solution: one string in another string
  30. Solution: compare strings
  31. Solution: to Unicode CLI
  32. Solution: from Unicode CLI
  33. Solution: Show characters based on Unicode code-points
  34. Solution: ROT13
• Loops
  1. Loops: for-in and while
  2. for-in loop on strings
  3. for-in loop on list
  4. for-in loop on range
  5. Iterable, iterator
  6. for in loop with early end using break
  7. for in loop skipping parts using continue
  8. for in loop with break and continue
  9. while loop
  10. Infinite while loop
  11. While with complex expression
  12. While with break
  13. While True
  14. Testing the refactoring of the while loop
  15. Duplicate input call
  16. Duplicate input call with loop
  17. Eliminate duplicate input call
  18. do while loop
  19. while with many continue calls
  20. Break out from multi-level loops
  21. For-else
  22. Exercise: Print all the locations in a string
  23. Exercise: Number guessing game
  24. Exercise: Count unique characters
  25. Exercise: Convert for-loop to while-loop
  26. Solution: Print all the locations in a string
  27. Solution 1 for Number Guessing
  28. Solution 2 for Number Guessing (x)
  29. Solution 3 for Number Guessing (s)
  30. Solution for Number Guessing (debug)
  31. Solution for Number Guessing (move)
  32. Solution for Number Guessing (multi-game)
  33. Solution: Count unique characters
  34. Solution: Convert for-loop to while-loop
• Formatted strings
  1. format - sprintf
  2. printf using old %-syntax
  3. Examples using format with names
  4. Format columns
  5. Examples using format - alignment
  6. Format - string
  7. Format characters and types (binary, octal, hexa)
  8. Format floating point number
  9. Examples using format - indexing
  10. Format characters and types using f-format
  11. f-format (formatted string literals)
  12. Format floating point numbers using f-format
  13. Format braces, bracket, and parentheses
  14. parameterized formatter
  15. format binary, octal, hexa numbers
  16. Examples using format with attributes of objects
  17. raw f-format
• Lists
  1. Anything can be a list
  2. Any layout
  3. Access elements of a list
  4. List slice with steps
  5. Change a List
  6. Change sublist vs change element of a list
  7. Change with steps
  8. List assignment and list copy
  9. Shallow vs. Deep copy of lists
  10. join
  11. join list of numbers
  12. split
  13. for loop on lists
  14. in list
  15. Where is the element in the list
  16. Index improved
  17. [].insert
  18. [].append
  19. [].remove
  20. Remove element by index [].pop
  21. Remove first element of list
  22. Remove several elements of list by index
  23. Use list as a queue - FIFO
  24. Queue using deque from collections
  25. Fixed size queue
  26. List as a stack - LIFO
  27. stack with deque
  28. Exercies: Queue
  29. Exercise: Stack
  30. Exercise: MasterMind
  31. Solution: Queue with list
  32. Solution: Queue with deque
  33. Solution: Reverse Polish calculator (stack) with lists
  34. Solution: Reverse Polish calculator (stack) with deque
  35. Solution: MasterMind
  36. MasterMind to debug
  37. Debugging Queue
  38. sort
  39. sort numbers
  40. key sort of strings
  41. sort mixed values
  42. sort mixed values fixed with str
  43. sorting with sorted
  44. sort vs. sorted
  45. Sorted and change - shallow copy
  46. Sorting characters of a string
  47. range
  48. Looping over index
  49. Enumerate lists
  50. List operators
  51. List of lists
  52. List assignment
  53. List documentation
  54. Exercise: color selector menu
  55. Exercise: count digits
  56. Exercise: Create list
  57. Exercise: Count words
  58. Exercise: Check if number is prime
  59. Exercise: DNA sequencing
  60. Solution: menu
  61. Solution: count digits
  62. Solution: Create list
  63. Solution: Count words
  64. Solution: Check if number is prime
  65. Solution: DNA sequencing
  66. Solution: DNA sequencing other
  67. Solution: DNA sequencing using replace
  68. Solution: DNA sequencing using regex
  69. Solution: DNA sequencing with filter
  70. Solution: DNA sequencing with filter and lambda
  71. [].extend
  72. append vs. extend
  73. split and extend
• Tuples
  1. Create tuple
  2. Convert list to tuple and tuple to list
  3. Enumerate returns tuples
  4. Change a tuple
  5. Sort tuples
  6. Sort tuples by specific elements
  7. Sort and secondary sort
• Files
  1. File types: Text vs Binary
  2. Open vs. Read vs. Load
  3. Binary files: Images
  4. Reading an Excel file
  5. Reading a YAML file
  6. Read and analyze a text file
  7. Open and read file (easy but not recommended)
  8. Open and read file using with (recommended)
  9. Read file remove newlines
  10. Filename on the command line
  11. Filehandle with return
  12. Read all the lines into a list
  13. Read all the characters into a string (slurp)
  14. Not existing file
  15. Open file exception handling
  16. Open many files - exception handling
  17. Writing to file
  18. Print to file
  19. Append to file
  20. Binary mode
  21. Does file exist? Is it a file?
  22. Direct access of a line in a file
  23. Exercise: count digits
  24. Exercise: remove newlines
  25. Exercise: print lines with Report:
  26. Exercise: color selector
  27. Exercise: ROT13
  28. Exercise: Combine lists
  29. Exercise: Number guessing game - save to file
  30. Solution: count numbers
  31. Solution: remove newlines
  32. Solution: print lines with Report:
  33. Solution: color selector
  34. Solution: ROT13
  35. Solution: Combine lists
  36. Solution: Combine lists with tuple
  37. Filehandle using with and not using it
• Dictionary (hash)
  1. What is a dictionary
  2. When to use dictionaries
  3. Various dictionary examples
  4. Dictionary
  5. Create dictionary
  6. keys
  7. Loop over keys
  8. Loop over dictionary keys
  9. Loop using items
  10. values
  11. Not existing key
  12. Get key
  13. Does the key exist?
  14. Does the value exist?
  15. Delete key
  16. List of dictionaries
  17. Shared dictionary
  18. immutable collection: tuple as dictionary key
  19. immutable numbers: numbers as dictionary key
  20. Sort a dictionary
  21. Sort dictionary values
  22. Sort dictionary by value
  23. Sort dictionary keys by value (another example)
  24. Insertion Order is kept
  25. Change order of keys in dictionary - OrderedDict
  26. Set order of keys in dictionary - OrderedDict
  27. Setdefault
  28. Exercise: count characters
  29. Exercise: count words
  30. Exercise: count words from a file
  31. Exercise: Apache log
  32. Exercise: Combine lists again
  33. Exercise: counting DNA bases
  34. Exercise: Count Amino Acids
  35. Exercise: List of dictionaries
  36. Exercise: Dictionary of dictionaries
  37. Exercise: Age limit with dictionaries
  38. Exercise: Merge files with timestamps
  39. Solution: count characters
  40. Default Dict
  41. Solution: count characters with default dict
  42. Solution: count words (plain)
  43. Solution: count words (defaultdict)
  44. Solution: count words (Counter)
  45. Solution: count words in file
  46. Solution: Apache log
  47. Solution: Apache log using split
  48. Solution: Combine files
  49. Solution: Combine files-improved
  50. Solution: counting DNA bases
  51. Solution: Count Amino Acids
  52. Solution: List of dictionaries
  53. Solution: Dictionary of dictionaries
  54. Solution: Age limit with dictionaries
  55. Solution: Merge files with timestamps
  56. Do not change dictionary in loop
  57. Named tuple (sort of immutable dictionary)
  58. Create dictionary from List
  59. Sort Hungarian letters (lookup table)
• Sets
  1. sets
  2. set operations
  3. Creating a set
  4. Creating a set from a list
  5. Converting set to list
  6. Creating an empty set
  7. Adding an element to a set (add)
  8. Merging one set into another set (update)
  9. set intersection
  10. set subset
  11. set symmetric difference
  12. set union
  13. set relative complement (difference)
  14. Set of numbers
  15. Set of lists
  16. Set of tuples
  17. Create set from List
• Code Reuse
  1. Permutations
  2. k-Permutations
  3. Binomial coefficient
  4. Binomial coefficient - factorial function
  5. k-Permutations - factorial function
  6. Permutations - factorial funcion
  7. mymath module
  8. Permutations - module
  9. k-Permutations - module
  10. Binomial coefficient - module
• Functions (subroutines)
  1. Why use functions?
  2. Defining simple function
  3. Passing positional parameters to a function
  4. Function parameters can be named
  5. Mixing positional and named parameters
  6. Mixing positional and named parameters - order
  7. Default values, optional parameters, optional parameters
  8. Default value in first param
  9. Several defaults, using names
  10. Arbitrary number of arguments `*`
  11. Arbitrary number of arguments passing a lists
  12. Arbitrary number of arguments passing a tuple
  13. Fixed parmeters before the others
  14. Pass arbitrary number of functions
  15. Arbitrary key-value pairs in parameters `**`
  16. Pass a real dictionary
  17. The dictionary contains copy
  18. The dictionary contains copy but NOT deep copy!
  19. Extra key-value pairs in parameters
  20. Extra key-value pairs in parameters for email
  21. Every parameter option
  22. Duplicate declaration of functions (multiple signatures)
  23. Pylint duplicate declaration
  24. Return more than one value
  25. Recursive factorial
  26. Recursive Fibonacci
  27. Non-recursive Fibonacci
  28. Unbound recursion
  29. Set recurions limit
  30. Variable assignment and change - Immutable
  31. Variable assignment and change - Mutable list
  32. Variable assignment and change - Mutabled dict
  33. Parameter passing of functions
  34. Passing references
  35. Function documentation
  36. Sum ARGV
  37. Copy-paste code
  38. Copy-paste code fixed
  39. Copy-paste code further improvement
  40. Palindrome
  41. Exit vs return vs break and continue
  42. Exercise: statistics
  43. Exercise: Pascal's triangle
  44. Exercise: Pascal's triangle functions
  45. Exercise: recursive dependency tree
  46. Exercise: dependency tree
  47. Exercise: Tower of Hanoi
  48. Exercise: Merge and Bubble sort
  49. Exercise: Refactor previous solutions to use functions
  50. Exercise: Number guessing - functions
  51. Solution: statistics
  52. Solution: Pascal triangle
  53. Solution: Pascal triangle functions
  54. Solution: recursive
  55. Solution: Tower of Hanoi
  56. Solution: Merge and Bubble sort
• Modules
  1. Goal of having modules
  2. Before modules
  3. Create modules
  4. path to load modules from - The module search path
  5. sys.path - the module search path
  6. Project directory layouts
  7. Flat project directory structure
  8. Absolute path
  9. Relative path
  10. Relative path explained
  11. Submodules
  12. Python modules are compiled
  13. How "import" and "from" work?
  14. Execute at import time
  15. Runtime loading of modules
  16. Conditional loading of modules
  17. What is in our namespace?
  18. Runtime import
  19. Duplicate importing of functions
  20. Duplicate importing of functions - solved
  21. Script or library
  22. Script or library - import
  23. Script or library - from import
  24. Scope of import
  25. Import multiple times
  26. Do not import *
  27. Exercise: Number guessing
  28. Exercies: Scripts and modules
  29. Exercise: Module my_sum
  30. Exercise: Convert your script to module
  31. Exercise: Add doctests to your own code
  32. Solution: Module my_sum
  33. Loaded modules and their path
  34. Built-in modules
• Regular Expressions
  1. What are Regular Expressions (aka. Regexes)?
  2. What are Regular Expressions good for?
  3. Examples
  4. Where can I use it ?
  5. grep
  6. Regexes first match
  7. Match numbers
  8. Capture
  9. Capture more
  10. Capture even more
  11. Named capture
  12. findall
  13. findall with capture
  14. findall with capture more than one
  15. Any Character
  16. Match dot
  17. Character classes
  18. Common characer classes
  19. Negated character class
  20. Character classes summary
  21. Character classes and Unicode characters
  22. Character classes for Hebrew text
  23. Match digits
  24. Word Characters
  25. Exercise: add numbers
  26. Solution: add numbers
  27. Solution: add numbers
  28. Solution: add numbers
• Regular Expressions - part 2
  1. Optional character
  2. Regex match 0 or more (the * quantifier)
  3. Quantifiers
  4. Quantifiers limit
  5. Quantifiers on character classes
  6. Greedy quantifiers
  7. Minimal quantifiers
  8. Anchors
  9. Anchors with mulitline
  10. Anchors on both end
  11. Match ISBN numbers
  12. Matching a section
  13. Matching a section - minimal
  14. Matching a section negated character class
• Regular Expressions - part 3
  1. Two regex with logical or
  2. Alternatives
  3. Grouping and Alternatives
  4. Internal variables
  5. More internal variables
  6. Regex DNA
  7. Regex IGNORECASE
  8. DOTALL S (single line)
  9. MULTILINE M
  10. Combine Regex flags
  11. Regex VERBOSE X
  12. Substitution
  13. Substitution and MULTILINE - remove leading spaces
  14. findall capture
  15. Fixing dates
  16. Fixing dates - 1
  17. Fixing dates - 2
  18. Fixing dates - 3
  19. Fixing dates - 4
  20. Anchor edge of word
  21. Double numbers
  22. Remove spaces
  23. Replace string in Assembly code
  24. Replace string in Assembly code - using mapping dict
  25. Replace string in Assembly code - using alternatives
  26. Replace string in Assembly code - generate regex
  27. Full example of previous
  28. Split with regex
  29. Exercises: Regexes part 1
  30. Exercise: Regexes part 2
  31. Exercise: Sort SNMP numbers
  32. Exercise: parse hours log file and create report
  33. Exercise: Parse ini file
  34. Exercise: Replace Python
  35. Exercise: Extract phone numbers
  36. Solution: Sort SNMP numbers
  37. Solution: parse hours log file and give report
  38. Solution: Processing INI file manually
  39. Solution: Processing config file
  40. Solution: Extract phone numbers
  41. Regular Expressions Cheat sheet
  42. Fix bad JSON
  43. Fix very bad JSON
  44. Raw string or escape
  45. Remove spaces regex
  46. Regex Unicode
  47. Anchors Other example
• PyCharm
  1. PyCharm Intro
  2. PyCharm configure interpreter
  3. PyCharm install modules
  4. PyCharm Project
  5. PyCharm Files
  6. PyCharm - run code
  7. PyCharm - debugging code
  8. PyCharm Terminal
  9. PyCharm Python console at the bottom left
  10. Refactoring example with PyCharm
• Visual Studio Code
  1. VS Code Intro
  2. VS Code Project or Single file
  3. Install the Python Extension
  4. VS Code examples
• Python standard modules (standard packages)
  1. Some Standard packages
• math
  1. math examples
• sys
  1. sys module
  2. Writing to standard error (stderr)
  3. exit prints to STDERR
• os
  1. python which OS are we running on (os, platform)
  2. Current directory (getcwd, pwd, chdir)
  3. OS path
  4. os.path.join
  5. Directory listing
  6. Directory listing using glob
  7. Traverse directory tree - list directories recursively
  8. OS dir (mkdir, makedirs, remove, rmdir)
  9. expanduser - handle tilde ~ the home directory of the user
  10. Get process ID
  11. External command with system
  12. Accessing the system environment variables from Python
  13. Set environment variables on the fly
  14. Reading the .env environment file in Python
  15. Set env and run command
• Pathlib
  1. Pathlib example
  2. Pathlib cwd
  3. Pathlib get extension (suffix)
  4. Pathlib current file
  5. Pathlib parents (dirname)
  6. Pathlib parts (basename)
  7. Pathlib exists
  8. Pathlib iterdir (flat)
  9. Pathlib mkdir (makedir)
• shutil
  1. shutil module
• time
  1. time module
  2. sleep in Python
  3. timer
• datetime
  1. Current date and time datetime now
  2. Converting string to datetime (parsing date and time string)
  3. Parse datetime string with and without timezone information
  4. datetime fromisoformat
  5. date fromisoformat (only date, no time)
  6. datetime arithmeticis (subtract)
  7. Timezone aware datetime
  8. datetime arithmeticis (compare, sort)
  9. datetime arithmeticis (addition)
  10. Rounding datetime object to nearest second (removing microseconds)
  11. Rounding datetime object to date (removing hours, minutes, seconds)
  12. Convert datetime object to date object
  13. Convert datetime object to time object
  14. Today (date)
• subprocess
  1. External CLI tool to demo subprocess
  2. Run with os.system
  3. Run external process let STDOUT and STDERR through
  4. Run external process and capture STDOUT and STDERR separately
  5. Run external process and capture STDOUT and STDERR merged together
  6. subprocess in the background
  7. subprocess collect output while external program is running
  8. Exercise: Processes
  9. Subprocess TBD
• Command line arguments with argparse
  1. Command line arguments
  2. Modules to handle the command line
  3. argparse
  4. Basic usage of argparse
  5. Positional argument
  6. Many positional argument
  7. Convert to integers
  8. Convert to integer
  9. Named arguments
  10. Boolean Flags
  11. Short names
  12. argparse print help explicitely
  13. Argparse xor - mutual exlucise - only one - exactly one
  14. Argparse argument with default and optional value
  15. Conditional required parameter with argparse
  16. Exercise: Command line parameters
  17. Exercise: argparse positional and named
• JSON
  1. JSON - JavaScript Object Notation
  2. JSON dumps
  3. JSON loads
  4. dump
  5. load
  6. Round trip
  7. Pretty print JSON
  8. Serialize Datetime objects in JSON
  9. Sort keys in JSON
  10. Set order of keys in JSON - OrderedDict
  11. Exercise: Counter in JSON
  12. Exercise: Phone book in JSON
  13. Solution: Counter in JSON
  14. Solution: Phone book
• YAML
  1. YAML - YAML Ain't Markup Language
  2. Read YAML
  3. Write YAML
  4. Exercise: Counter in YAML
  5. Exercise: Phone book in YAML
  6. Solution: Counter in YAML
• Exception handling
  1. Hierarchy of calls
  2. Handling errors as return values
  3. Handling errors as exceptions
  4. A simple exception
  5. Prevention
  6. Working on a list
  7. Catch ZeroDivisionError exception
  8. Module to open files and calculate something
  9. File for exception handling example
  10. Open files - exception
  11. Handle divide by zero exception
  12. Handle files - exception
  13. Catch all the exceptions and show their type
  14. List exception types
  15. Hierarchy of Exceptions
  16. Order of exception handling - bad
  17. Order of exception handling - good
  18. How to raise an exception
  19. Raise ValueError exception
  20. Stack trace of exceptions
  21. No need for exception to print Stack trace
  22. Raise Exception from
  23. Exercise: Exception int conversion
  24. Exercise: Raise Exception
  25. Solution: Exception int conversion (specific)
  26. Solution: Exception int conversion (all other)
  27. Solution: Raise Exception
• Classes - OOP - Object Oriented Programming
  1. Why Object Oriented Programming?
  2. Generic Object Oriented Programming terms
  3. OOP in Python
  4. OOP in Python (numbers, strings, lists)
  5. OOP in Python (argparse)
  6. Create a class
  7. Create instance of class
  8. Import module containing class
  9. Import class from module
  10. Initialize instance (not a constructor)
  11. Self is the instance
  12. Init uses same name as attribute and getters
  13. Initialize an instance - (not a constructor), attributes and getters
  14. Setters - assign to the attributes
  15. Attributes are not special
  16. Private attributes
  17. Methods
  18. Inheritance
  19. Inheritance - another level
  20. Modes of method inheritance
  21. Modes of method inheritance - implicit
  22. Modes of method inheritance - override
  23. Modes of method inheritance - extend
  24. Modes of method inheritance - delegate - provide
  25. Composition - Line
  26. Composition - Line with type annotation
  27. Hidden attributes
  28. Hidden attributes in a subclass
  29. Some comments
  30. Exercise: Add move_rad to based on radians
  31. Exercise: Improve previous examples
  32. Exercise: Polygon
  33. Exercise: Number
  34. Exercise: Library
  35. Exercise: Bookexchange
  36. Exercise: Represent turtle graphics
  37. Solution - Polygon
• PyPi - Python Package Index
  1. What is PyPi?
  2. pip
  3. Configure pip on Windows to avoid SSL issues
  4. Upgrade pip
  5. Upgrade PIP on Windows
  6. PYTHONPATH
  7. Requirements
  8. Virtualenv
• Database
  1. Relational Databases (SQL)
  2. NoSQL
  3. Types of NoSQL databases
• SQLite Database Access
  1. SQLite
  2. Connecting to SQLite database
  3. Connecting to in-memory SQLite database
  4. Create TABLE in SQLite
  5. INSERT data into SQLite database
  6. SELECT data from SQLite database
  7. SELECT aggregate data from SQLite database
  8. SELECT data from SQLite database into dictionaries
  9. UPDATE data in SQLite database
  10. A counter
  11. SQLite in-memory AUTOINCREMENT
  12. SQLite in-memory field with DEFAULT value
  13. SQLite transactions
• MySQL
  1. Install MySQL support
  2. Create database user (manually)
  3. Create database (manually)
  4. Create table (manually)
  5. Connect to MySQL
  6. Connect to MySQL and Handle exception
  7. Select data
  8. Select more data
  9. Select all data fetchall
  10. Select some data fetchmany
  11. Select some data WHERE clause
  12. Select into dictionaries
  13. Insert data
  14. Update data
  15. Delete data
  16. Exercise MySQL
  17. Exercise: MySQL Connection
  18. Solution: MySQL Connection
• PostgreSQL
  1. PostgreSQL install
  2. PostgreSQL with Docker compose
  3. Python and Postgresql
  4. PostgreSQL connect
  5. PostgreSQL create table
  6. INSERT
  7. INSERT (from command line)
  8. SELECT
  9. DELETE
• SQLAlchemy
  1. SQLAlchemy hierarchy
  2. SQLAlchemy engine
  3. SQLAlchemy autocommit
  4. SQLAlchemy engine CREATE TABLE
  5. SQLAlchemy engine INSERT
  6. SQLAlchemy engine SELECT
  7. SQLAlchemy engine SELECT all
  8. SQLAlchemy engine SELECT fetchall
  9. SQLAlchemy engine SELECT aggregate
  10. SQLAlchemy engine SELECT IN
  11. SQLAlchemy engine SELECT IN with placeholders
  12. SQLAlchemy engine connection
  13. SQLAlchemy engine transaction
  14. SQLAlchemy engine using context managers
  15. Exercise: Create table
  16. SQLAlchemy Metada
  17. SQLAlchemy types
  18. SQLAlchemy ORM - Object Relational Mapping
  19. SQLAlchemy ORM create
  20. SQLAlchemy ORM schema
  21. SQLAlchemy ORM reflection
  22. SQLAlchemy ORM INSERT after automap
  23. SQLAlchemy ORM INSERT
  24. SQLAlchemy ORM SELECT
  25. SQLAlchemy ORM SELECT cross tables
  26. SQLAlchemy ORM SELECT and INSERT
  27. SQLAlchemy ORM UPDATE
  28. SQLAlchemy ORM logging
  29. Solution: Create table
  30. Exercise: Inspector
  31. SQLAlchemy CREATE and DROP
  32. SQLAlchemy Notes
  33. SQLAlchemy Meta SQLite CREATE
  34. SQLAlchemy Meta Reflection
  35. SQLAlchemy Meta INSERT
  36. SQLAlchemy Meta SELECT
• MongoDB
  1. MongoDB CRUD
  2. Install MongoDB support
  3. MongoDB in Docker compose
  4. Python MongoDB drop database
  5. Python MongoDB insert
  6. MongoDB CLI
  7. Python MongoDB find
  8. Python MongoDB find refine
  9. Python MongoDB update
  10. Python MongoDB remove (delete)
  11. Python MongoDB replace
  12. Python MongoDB upsert
  13. Python Mongodb: TypeError: upsert must be True or False
  14. Python MongoDB Async with motor - connect
  15. Python MongoDB Async with motor - insert and find
• Redis
  1. Redis CLI
  2. Redis list keys
  3. Redis set get
  4. Redis incr
  5. Redis incrby
  6. Redis setex
• Web client - web scraping
  1. get HTML page using urllib
  2. Download image using urllib
  3. get HTML page using requests
  4. Download image using requests
  5. Download image as a stream using requests
  6. Download zip file using requests
  7. Extract zip file
  8. Beautiful Soup to parse HTML
  9. requests - JSON - API
  10. httpbin.org
  11. requests get from httpbin - JSON
  12. requests get IP from httpbin - JSON
  13. requests get JSON User-Agent
  14. requests change User-Agent
  15. requests get header
  16. requests change header
  17. requests post
  18. Interactive Requests
  19. Download the weather - scraping
  20. Download the weather - API call with requests
  21. Download the weather - API call with requests
  22. Tweet
  23. bit.ly
  24. API config file
  25. Exercise: Combine web server and client
• Python Web server
  1. Hello world web
  2. Dump web environment info
  3. Web echo
  4. Web form
  5. Resources
• Web development with Python Flask
  1. Python Flask intro
  2. Python Flask installation
  3. Flask: Hello World
  4. Flask: Run Hello World
  5. Flask: testing hello world
  6. Flask generated page - time
  7. Flask generated page - time tested
  8. Flask: Echo GET
  9. Flask: Echo GET - testing
  10. Flask: Echo GET - client
  11. Flask: Echo POST
  12. Flask: Echo POST - testing
  13. Flask: Echo POST - client
  14. Exercise: Flask calculator
  15. Solution: Flask calculator
  16. Flask GET and POST in two functions
  17. Flask GET and POST in two functions - testing
  18. Flask GET and POST in one function
  19. Flask GET and POST in one function - testing
  20. Flask Logging
  21. Flask URL routing
  22. Flask Path or route parameters
  23. Flask Path or route parameters - testing
  24. Flask route parameters - separate route to root page
  25. Flask route parameters - default values
  26. Flask Path or route parameters (int)
  27. Flask Path or route parameters add (int)
  28. Flask Path or route parameters add (path)
  29. Exercise: Calculator with path
  30. Solution: Calculator with path
  31. Flask Redirect
  32. Flask Internal Redirect with url_for
  33. Flask Internal Redirect with parameters
  34. Exercise: Random redirect
  35. Solution: Random redirect
  36. Flask Jinja template
  37. Flask Jinja template - testing
  38. Flask Jinja template with parameters
  39. Flask Jinja template with conditional
  40. Flask Jinja template with loop
  41. Flask Jinja template dictionary
  42. Flask Jinja template list of dictionaries
  43. Flask Jinja include
  44. Jinja extend template layout block
  45. Jinja template inheritance - super
  46. Static files
  47. Flask: Counter
  48. Color selector without session
  49. Session management
  50. Flask custom 404 page
  51. Flask Error page
  52. Exercise: Flask persistent counter
  53. Exercise: Flask persistent multi-counter
  54. Solution: Flask persistent counter
  55. Solution: Flask persistent multi-counter
  56. Flask Exercises
  57. Flask login
  58. Flask JSON API
  59. Flask and AJAX with Vanila JavaScript
  60. Flask and AJAX with JQuery
  61. Flask POST JSON data to web application
  62. passlib
  63. Flask Testing
  64. Flask Deploy app
  65. Flask Simple Authentication + test
  66. Flask REST API
  67. Flask REST API - Echo
  68. Flask REST API - parameters in path
  69. Flask REST API - parameter parsing
  70. Flask REST API - parameter parsing - required
  71. Login
  72. Configuratio
• Web development with Python FastAPI
  1. Install FastAPI
  2. FastAPI - Hello World
  3. FastAPI - Test Hello World
  4. FastAPI with Docker compose
  5. FastAPI - Dynamic response
  6. FastAPI - Echo GET - Query Parameters
  7. FastAPI - Echo GET - Query Parameters - test
  8. FastAPI - Echo POST - request body
  9. FastAPI - Echo POST - request body - test
  10. FastAPI - Calculator GET
  11. FastAPI - Calculator GET - Test
  12. FastAPI - Path Parameters - str
  13. FastAPI - Path Parameters - str - test
  14. FastAPI - Path Parameters - int
  15. FastAPI - Path Parameters - int - test
  16. FastAPI - Path Parameters - specific values with enum
  17. FastAPI - Path Parameters - specific values with enum - test
  18. FastAPI - Path containing a directory path
  19. FastAPI - Path containing a directory path - test
  20. Return main HTML page
  21. Return main HTML page - test
  22. Return main HTML file
  23. Send 400 error
  24. Send 400 error - test
  25. FastAPI - in memory counter
  26. FastAPI - on disk counter
  27. FastAPI - on disk multi-counter uising JSON
  28. FastAPI - get header from request
  29. FastAPI - set arbitrary header in response
  30. FastAPI - serve static files - JavaScript example
  31. FastAPI mounted sub-applications
  32. FastAPI - todo
• Networking
  1. Secure shell
  2. ssh
  3. ssh from Windows
  4. Parallel ssh
  5. telnet
  6. prompt for password
  7. ftp
• Interactive shell
  1. The Python interactive shell
  2. REPL - Read Evaluate Print Loop
  3. Using Modules
  4. Getting help
  5. Exercise: Interactive shell
• Testing Demo
  1. Testing Flask
  2. How do you test your code?
  3. What is testing?
  4. What is testing really?
  5. Testing demo tools
  6. Testing demo methodology
  7. Testing demo - AUT - Application Under Test
  8. Testing demo - use the module
  9. Testing demo: doctest
  10. Testing demo: doctest with failure
  11. Testing demo: Unittest success
  12. Testing demo: Unittest failure
  13. Testing demo: pytest using classes
  14. Testing demo: pytest using classes - failure
  15. Testing demo: pytest without classes
  16. Testing demo: pytest without classes failure
  17. Testing demo: Failure in one sub
  18. Testing demo: pytest run doctests
  19. Testing demo: pytest run unittest
  20. Test demo: test coverage
  21. Exercise: Testing demo - anagrams
  22. Exercise: Test previous solutions
  23. Solution: Testing demo
• GitHub
  1. GitHub data
  2. GitHub API: REST vs GraphQL
  3. Where is it used
  4. GitHub get organization members
  5. Details about an orgarnization REST
  6. Details about an user REST
  7. REST - List of repositories by organization (pagination!)
  8. REST - List of reposistories by user (pagination!)
  9. GraphQL - List repositories by organization
  10. GitHub API KEY (PERSONAL TOKEN)
  11. GitHub REST API
  12. GitHub REST API execute query
  13. GitHub API GraphQL
  14. GitHub GraphQL explorer
  15. GitHub GraphQL execute query
  16. GitHub GraphQL execute query async
  17. GitHub GraphQL who am i
  18. GitHub GraphQL list my repositories
  19. GitHub GraphQL list of repositories by username
  20. GitHub GraphQL list issues by username
  21. GitHub GraphQL list issues using parameter
  22. GitHub GraphQL list issues using several parameters
  23. GitHub GraphQL contribution counts
  24. GitHub GraphQL list Pull-Requests
  25. GitHub GraphSQL paging using cursor
  26. GitHub GraphQL activities
• Types in Python
  1. mypy
  2. Changing types
  3. Changing types when reading a number
  4. Types of variables
  5. Types of function parameters
  6. Types function returns None or bool
  7. Types used properly
  8. TODO: mypy
• Testing Intro
  1. The software testing equasion
  2. The software testing equasion (fixed)
  3. The pieces of your software?
  4. Manual testing
  5. What to tests?
  6. Continuous Integration
• Functional programming in Python
  1. Programming Paradigms
  2. Functional programming
  3. Iterators (Iterables)
  4. range
  5. range with list
  6. range vs. list size
  7. for loop with transformation
  8. map
  9. map with list
  10. size of map
  11. map delaying function call
  12. map on many values
  13. double with lambda
  14. What is lambda in Python?
  15. lambda returning tuple
  16. map returning tuples
  17. lambda with two parameters
  18. map for more than one iterable
  19. map on uneven lists
  20. replace None (for Python 2)
  21. map on uneven lists - fixed (for Python 2)
  22. map mixed iterators
  23. map fetch value from dictionary
  24. Exercise: string to length
  25. Exercise: row to length
  26. Exercise: compare rows
  27. Solution: string to length
  28. Solution: row to length
  29. Solution: compare rows
  30. filter in a loop
  31. filter
  32. filter with lambda
  33. filter - map example
  34. filter - map in one expression
  35. Get indices of values
  36. reduce
  37. reduce empty list
  38. reduce with default
  39. reduce list of dictionaries
  40. zip
  41. Combining two lists using zip
  42. Creating dictionary from two lists using zip
  43. all, any
  44. Compare elements of list with scalar
  45. List comprehension - double
  46. List comprehension - simple expression
  47. List generator
  48. List comprehension
  49. Dict comprehension
  50. Lookup table with lambda
  51. Read lines without newlines
  52. Read key-value pairs
  53. Create index-to-value mapping in a dictionary based on a list of values
  54. Exercise: min, max, factorial
  55. Exercise: Prime numbers
  56. Exercise: Many validator functions
  57. Exercise: Calculator using lookup table
  58. Exercise: parse file
  59. Solution: min, max, factorial
  60. Solution: Prime numbers
  61. Solution: Many validator functions
  62. Solution: Calculator using lookup table
  63. map with condtion
  64. map with lambda
  65. map with lambda with condition
  66. List comprehension - complex
  67. Change list before iteration over map object
  68. Replace list before iteration over map object
• Iterators - with and without Itertools
  1. Advantages of iterators and generators
  2. The Fibonacci research institute
  3. Fibonacci plain
  4. Fibonacci copy-paste
  5. Iterators Glossary
  6. What are iterators and iterables?
  7. A file-handle is an iterator
  8. range is iterable but it is not an iterator
  9. Iterator: a counter
  10. Using iterator
  11. Iterator without temporary variable
  12. The type of the iterator
  13. Using iterator with next
  14. Mixing for and next
  15. Iterable which is not an iterator
  16. Iterator returning multiple values
  17. Range-like iterator
  18. Unbound or infinite iterator
  19. Unbound iterator Fibonacci
  20. Operations on Unbound iterator
  21. itertools
  22. itertools - count
  23. itertools - cycle
  24. Exercise: iterators - reimplement the range function
  25. Exercise: iterators - cycle
  26. Exercise: iterators - alter
  27. Exercise: iterators - limit Fibonacci
  28. Exercise: iterators - Fibonacci less memory
  29. Exercise: read char
  30. Exercise: read section
  31. Exercise: collect packets
  32. Exercise: compare files
  33. Solution: iterators - limit Fibonacci
  34. Solution: iterators - Fibonacci less memory
  35. Solution: read section
  36. Solution: compare files
  37. Solution: collect packets
• Generators and Generator Expressions
  1. Generators Glossary
  2. Iterators vs Generators
  3. List comprehension and Generator Expression
  4. List comprehension vs Generator Expression - less memory
  5. List comprehension vs Generator Expression - lazy evaluation
  6. Generator: function with yield - call next
  7. Generators - call next
  8. Generator with yield
  9. Generators - fixed counter
  10. Generators - counter
  11. Generators - counter with parameter
  12. Generators - my_range
  13. Fibonacci - generator
  14. Infinite series
  15. Integers
  16. Integers + 3
  17. Integers + Integers
  18. Filtered Fibonacci
  19. The series.py
  20. generator - unbound count (with yield)
  21. iterator - cycle
  22. Exercise: Alternator
  23. Exercise: Prime number generator
  24. Exercise: generator
  25. Operations on infinite lists
  26. Infinite random number generator
  27. Infinite random set generator
• Logging
  1. Simple logging
  2. Simple logging - set level
  3. Simple logging to a file
  4. Simple logging format
  5. Simple logging change date format
  6. getLogger
  7. Time-based logrotation
  8. Size-based logrotation
• Closures
  1. Counter local - not working
  2. Counter with global
  3. Create incrementors
  4. Create internal function
  5. Create function by a function
  6. Create function with parameters
  7. Counter closure
  8. Make incrementor with def (closure)
  9. Make incrementor with lambda
  10. Exercise: closure bank
  11. Exercise: counter with parameter
  12. Solution: closure bank
  13. Solution: counter with parameter
• Decorators
  1. Decorators: simple example
  2. Decorators - Flask
  3. Decorators - Pytest
  4. Decorators caching - no cache
  5. Decorators caching - with cache
  6. LRU - Least recently used cache
  7. LRU - Least recently used cache
  8. OOP - classmethod - staticmethod
  9. Use cases for decorators in Python
  10. Function assignment
  11. Function assignment - alias print to say
  12. Function assignment - don't do this
  13. Passing functions as parameters
  14. Traversing directory tree
  15. Declaring Functions inside other function
  16. Returning a new function from a function
  17. Returning a closure
  18. Decorator
  19. Decorator Demo
  20. Decorator to register function
  21. A recursive Fibonacci
  22. trace fibo
  23. tron decorator
  24. Decorate with direct call
  25. Decorate with parameter
  26. Decorator accepting parameter
  27. Decorate function with any signature
  28. Decorate function with any signature - implementation
  29. Decorate function with any signature - skeleton
  30. Decorate function with any signature - skeleton with name
  31. Functool - partial
  32. Exercise: Logger decorator
  33. Exercise: decorators decorator
  34. Solution: Logger decorator
  35. Solution: Logger decorator (testing)
  36. Solution decorators decorator
  37. A list of functions
• Context managers (with statement)
  1. Why use context managers?
  2. Using Context Manager
  3. Context Manager examples
  4. cd in a function
  5. open in function
  6. open in for loop
  7. open in function using with
  8. Plain context manager
  9. Param context manager
  10. Context manager that returns a value
  11. Use my tempdir - return
  12. Use my tempdir - exception
  13. cwd context manager
  14. tempdir context manager
  15. Context manager with class
  16. Context managers with class
  17. Context manager: with for file
  18. With - context managers
  19. Exercise: Context manager
  20. Exercise: Tempdir on Windows
  21. Solution: Context manager
• Advanced lists
  1. Change list while looping: endless list
  2. Change list while looping
  3. Copy list before iteration
  4. for with flag
  5. for else
  6. enumerate
  7. do while
  8. list slice is copy
• Advanced Exception handling
  1. Exceptions else
  2. Exceptions finally
  3. Exit and finally
  4. Catching exceptions
  5. Home made exception
  6. Home made exception with attributes
  7. Home made exception hierarcy
  8. Home made exception hierarcy - 1
  9. Home made exception hierarcy - 2
  10. Home made exception hierarcy - 3
  11. Exercise: spacefight with exceptions
  12. Exercies: Raise My Exception
  13. Solution: spacefight with exceptions
  14. Solution: Raise My Exception
  15. Exception finally return
• Warnings
  1. Warnings
• CSV
  1. What is a CSV file?
  2. CSV file without title row
  3. CSV file with header
  4. Read CSV file into lists
  5. CSV with newlines missing closing quote
  6. CSV to dictionary
  7. CSV Attributes
  8. CSV dialects
  9. Reading CSV the naive way
  10. CSV with quotes and newlines
  11. Reading a CSV file
  12. Exercise: CSV as dictionary of dictionaries
  13. Exercise: CSV as dictionary of tuples of dictionaries
  14. Exercise: count row length in csv files
  15. Solution: CSV as dictionary of dictionaries
  16. Solution: CSV as dictionary of tuples of dictionaries
  17. Solution: count row length in csv files
• Excel
  1. Spreadsheets
  2. Python Excel
  3. Create an Excel file from scratch
  4. Worksheets in Excel
  5. Add expressions to Excel
  6. Format field
  7. Number series and chart
  8. Read Excel file
  9. Update Excel file
  10. Barchart
  11. Exercise: Excel
• XML
  1. XML Data
  2. Expat - Callbacks
  3. XML DOM - Document Object Model
  4. XML SAX - Simple API for XML
  5. SAX collect
  6. XML elementtree
• SciPy - for Scientific Computing in Python
  1. Data Science tools in Python
  2. Data Analysis resources
• Python and Biology
  1. Biopython
  2. Biopython background
  3. Bio python sequences
  4. Download and Read FASTA, GenBank files
  5. Search NCBI and Download FASTA and GenBank files
  6. Search nucleotids
  7. Download nucleotids
  8. Exercise: Nucleotid
  9. Exercise: Search tool for NCBI
  10. Biology background
• Chemistry
  1. Chemistry links
  2. Python-based Simulations of Chemistry Framework
  3. Bond length
  4. Covalent radius
  5. Python energy landscape explorer
  6. Other chemistry links
• numpy
  1. What is NumPy
  2. Install Numpy
  3. Numpy - vector
  4. NumPy 2D arrays
  5. Numpy - set type
  6. NumPy arrays: ones and zeros
  7. Numpy: eye
  8. NumPy array random
  9. NumPy Random integers
  10. NumPy array type change by division (int to float)
  11. Numpy: Array methods: transpose
  12. Numpy: reference, not copy
  13. Numpy: copy array
  14. Numpy: Elementwise Operations on Arrays
  15. Numpy: multiply, matmul, dot for vectors
  16. Numpy: multiply, matmul, dot for vector and matrix
  17. Numpy: multiply, matmul, dot for matrices
  18. Numpy: casting - converting from strings to integer.
  19. Numpy: indexing 1d array
  20. Numpy: slice is a reference
  21. Numpy: slice - copy
  22. Numpy: abs value on a Numpy array
  23. Numpy: Logical not on a Numpy array
  24. Numpy: Vectorize a function
  25. Numpy: Vectorize len
  26. Numpy: Vectorize lambda
  27. Numpy: Filtering array (selecting some of the values from an array)
  28. Numpy: Filter matrix values
  29. Numpy: Filter matrix rows (selecting some rows)
  30. Numpy: Some statistics (sum, mean, std, var)
  31. Numpy: Serialization (saving an array to a file)
  32. Numpy: Load from Matlab file to a Numpy array
  33. Numpy: Save a Numpy array as a Matlab file
  34. Numpy: Horizontal stack vectors (hstack)
  35. Numpy: Append or vertically stack vectors and matrices (vstack)
  36. Numpy uint8
  37. Numpy int8
  38. More Numpy
• Pandas
  1. Pandas
  2. Datasets
  3. Planets data
  4. StackOverflow Survey data
  5. Planets - Read CSV into Dataframes
  6. Planets - DataFrame Statistics
  7. Pandas Read CSV various datatypes
  8. Pandas Read CSV set dtype
  9. Pandas Read CSV convert values
  10. Pandas split multivalue column into separate columns
  11. Pandas split multivalue column into separate columns - get_dummies
  12. Planets - Show first and last rows
  13. Planets DataFrame select columns
  14. Planets DataFrame select rows
  15. Planets DataFrame select rows and columns
  16. DataFrame filter rows by size
  17. DataFrame filter rows by value
  18. DataFrame filter rows by value in list
  19. DataFrame filter elementwise boolean and
  20. DataFrame sort (sort_values)
  21. DataFrame loc vs. iloc
  22. Pandas Planets - Add calculated column, remove / delete column (drop)
  23. Pandas Planets - calculate
  24. Pandas read CSV set index column
  25. Count values
  26. Select top items
  27. Pandas Show histogram
  28. Pandas read selected columns
  29. Pandas read file in chunks
  30. Pandas read selected rows in chunks
  31. Combine columns to create a new column
  32. Add a new column (conditional)
  33. Pandas read Excel
  34. Create Excel file for experiment with random data
  35. Calculate Genome metrics
  36. Exercise: Pandas
  37. TODO: Stack Overflow example
• Matplotlib
  1. About Matplotlib
  2. Matplotlib Line
  3. Matplotlib Line with dates
  4. Matplotlib Simple Pie
  5. Matplotlib Simple Pie with params
  6. Matplotlib Pie
  7. Matplotlib Pie (test cases)
  8. Plot, scatter, histogram
• Seaborn
  1. Searborn use examples
  2. Seaborn tip
  3. Seaborn Anscombes Quartet
• Jupyter notebooks
  1. What is Jupyter Notebook?
  2. Jupyter on Windows
  3. Jupyter on Linux and OSX
  4. Jupyter New notebook
  5. Jupyter Notebook file format
  6. Jupyter notebook edit and command mode
  7. Jupyter notebook Intellisense (TAB completition)
  8. Jupyter add
  9. Planets
  10. Jupyter input
  11. File chooser
  12. IPy Widgets
  13. Jupyter Notebook and Markdown
  14. Latex in Jupyter Notebook
  15. Jupyter StackOverflow
  16. Use SciPy image
  17. Create Random image
  18. Load image using OpenCV
  19. Genes using Jupyter
  20. More Jupyter examples
  21. Jupyter Notebook: run on other port
  22. Jupyter Notebook: public IP
  23. Other Jupyter Notebook Kernels
  24. Jupyter Notebook convert to other format (nbconvert)
  25. Jupyter Notebook extensions
  26. Jupyter notebook Checkpoints
  27. Jupyter notebook autoreload
• Testing
  1. Traditional Organizations
  2. Quality Assurance
  3. Web age Organizations
  4. TDD vs Testing as an Afterthought
  5. Why test?
  6. Testing Modes
  7. Testing Applications
  8. Testing What to test?
  9. Testing in Python
  10. Testing Environment
  11. Testing Setup - Fixture
  12. Testing Resources
• Testing with unittest
  1. Use a module
  2. Test a module
  3. The tested module
  4. Testing - skeleton
  5. Testing
  6. Test examples
• Testing with PyTest
  1. Pytest features
  2. Test methods
  3. Pytest setup
  4. Pytest - AUT - Application Under Test
  5. How to use the module?
  6. Pytest - simple passing test
  7. Pytest failing test in one function
  8. Pytest failing test separated
  9. Pytest run all the test files
  10. Exercise: test simple module
  11. Pytest expected exception
  12. Pytest a nice Fibonacci example
  13. Pytest testing Fibonacci
  14. Pytest expected exception
  15. Pytest testing expected exception
  16. Pytest Change the text of the exception
  17. Pytest Missing exception
  18. Pytest Other exception is raised
  19. Pytest No exception is raised
  20. Exercise: test more exceptions
  21. Solution: test more exceptions
  22. PyTest: Multiple Failures
  23. PyTest: Multiple Failures output
  24. PyTest Selective running of test functions
  25. PyTest: stop on first failure
  26. Pytest: expect a test to fail (xfail or TODO tests)
  27. Pytest: expect a test to fail (xfail or TODO tests)
  28. PyTest: show xfailed tests with -rx
  29. Pytest: skipping tests
  30. Pytest: show skipped tests with -rs
  31. Pytest: show extra test summmary info with -r
  32. Pytest: skipping tests output in verbose mode
  33. Pytest verbose mode
  34. Pytest quiet mode
  35. PyTest print STDOUT and STDERR using -s
  36. Exercise: test math functions
  37. Exercise: test this app
  38. Exercise: test the csv module
  39. Solution: Pytest test math functions
  40. Solution: Pytest test this app
  41. Solution: test the csv module
  42. PyTest using classes
  43. Exercise: module
  44. Exercise: Open Source
  45. parametrize PyTest with pytest.mark.parametrize
  46. parametrize PyTest with multiple parameters
  47. Pytest and forking
  48. Exercise: Write tests for script combining files
  49. Solution: Write tests for script combining files
  50. Pytest: Flask echo
  51. Pytest: testing Flask echo
  52. Pytest resources
  53. Anagram on the command line
  54. PyTest testing CLI
• Pytest assert
  1. PyTest failure reports
  2. PyTest compare numbers
  3. PyTest compare numbers relatively
  4. PyTest compare strings
  5. PyTest compare long strings
  6. PyTest is one string in another strings
  7. PyTest test any expression
  8. PyTest element in list
  9. PyTest compare short lists
  10. PyTest compare short lists - verbose output
  11. PyTest compare lists
  12. PyTest compare dictionaries - different values
  13. PyTest compare dictionaries - missing-keys
• PyTest Fixtures
  1. PyTest: What are Fixtures?
  2. PyTest: test with functions
  3. PyTest Fixture setup and teardown xUnit style
  4. PyTest Fixture setup and teardown output
  5. PyTest: Fixture Class setup and teardown
  6. PyTest: Fixture Class setup and teardown output
  7. What is Dependency injection?
  8. Pytest fixture - tmpdir
  9. Pytest and tempdir
  10. Pytest CLI key-value store
  11. Pytest testing key-value store - environment variable
  12. Pytest testing key-value store - environment variable (outside)
  13. Application that prints to STDOUT and STDERR
  14. Pytest capture STDOUT and STDERR with capsys
  15. PyTest - write your own fixture
  16. Pytest Fixture - autouse fixtures
  17. Share fixtures among test files: conftest.py
  18. Manual fixtures (dependency injection)
  19. Pytest Fixture providing value
  20. Pytest Fixture providing value with teardown
  21. Pytest create fixture with file(s) - app and test
  22. Pytest create fixture with file(s) - helper function
  23. Pytest create fixture with file(s) - fixture
  24. Pytest with Docker - application
  25. Pytest with Docker - test
  26. Pytest with Docker - improved
  27. Pytest fixture inject data
  28. Pytest fixture for MongoDB
  29. Pytest parameters
  30. Pytest parametrized fixture
  31. Pytest parametrized fixture with dependency injection
  32. Pytest parametrized fixture to use Docker
• Pytest Mocking
  1. Pytest: Mocking - why?
  2. Pytest: Mocking - what?
  3. Pytest: What is Mocking? - Test Doubles
  4. Pytest: Monkey Patching
  5. Pytest: Hard-coded path
  6. Pytest: Hard-coded path - manually replace attribute
  7. Pytest: Hard-coded path - monkeypatch attribute
  8. Pytest: Hard-coded path - monkeypatch attribute - tempdir
  9. Pytest: Mocking slow external API call
  10. Pytest: Mocking slow external API call - manually replace function
  11. Pytest: Mocking slow external API call - manually replace function - broken remote
  12. Pytest: Mocking slow external API call - monkeypatch
  13. Pytest: Mocking STDIN
  14. Pytest: Mocking STDIN manually mocking
  15. Pytest: Mocking STDIN - monkeypatch
  16. Pytest: Mocking random numbes - the application
  17. Pytest: Mocking random numbes
  18. Pytest: Mocking multiple random numbers
  19. Pytest: Mocking environment variables
  20. Pytest: Mocking time
  21. Pytest: Mocking time (test expiration)
  22. Pytest: mocking specific timestamp with datetime
  23. Pytest: mocking specific timestamp with datetime
  24. Pytest: mocking datetime.date.today
  25. Pytest: mocking datetime date
  26. Pytest: One dimensional spacefight
  27. Pytest: Mocking input and output in the game
  28. Pytest: Mocking input and output in the game - no tools
  29. Pytest: Mocking random in the game
  30. Pytest: Mocking random in the game - no tools
  31. Pytest: Flask app sending mail
  32. Pytest: Mocking Flask app sending mail
  33. Pytest: Mocking - collecting stats example
• Pytest command line options
  1. PyTest: Run tests in parallel with xdist
  2. PyTest: Order of tests
  3. PyTest: Randomize Order of tests
  4. PyTest: Force default order
  5. PyTest test discovery
  6. PyTest test discovery - ignore some tests
  7. Pytest dry-run - collect-only
  8. PyTest select tests by name
  9. Pytest use markers to select tests
  10. PyTest select tests by marker
  11. No test selected
  12. Pytest reporting in JUnit XML or JSON format
  13. Pytest reporting in JUnit XML format
  14. Pytest reporting in JSON format
  15. Pytest JSON report
  16. Add extra command line parameters to Pytest - conftest - getoption
  17. Add extra command line parameters to Pytest - as a fixture
  18. Add extra command line parameters to Pytest - used in the autouse fixtures
  19. PyTest: Test Coverage
  20. Pytest and flake8
  21. Pytest and mypy
• Pytest - other
  1. Testing with Pytest
  2. Testing functions
  3. Testing class and methods
  4. Pytest - execute
  5. Pytest - execute
  6. Pytest simple module to be tested
  7. Pytest simple tests - success
  8. Pytest simple tests - success output
  9. Pytest simple tests - failure
  10. Pytest simple tests - failure output
  11. PyTest bank deposit
  12. PyTest expected exceptions (bank deposit)
  13. PyTest expected exceptions (bank deposit) - no exception happens
  14. PyTest expected exceptions (bank deposit) - different exception is raised
  15. PyTest expected exceptions - divide
  16. PyTest expected exceptions output
  17. PyTest expected exceptions (text changed)
  18. PyTest expected exceptions (text changed) output
  19. PyTest expected exceptions (other exception)
  20. PyTest expected exceptions (other exception) output
  21. PyTest expected exceptions (no exception)
  22. PyTest expected exceptions (no exception) output
  23. PyTest compare short lists - output
  24. Testing Master Mind
• Tox
  1. Tox Examples
• Selenium
  1. Selenium installation
  2. Get started with Selenium
  3. Selenium Headless Screenshot
• Playwright
  1. Playwright installation
  2. Playwright demo
  3. Playwright screenshot
• Advancted functions
  1. Variable scopes
  2. Name resolution order (LEGB)
  3. Scoping: global seen from fuction
  4. Assignment creates local scope
  5. Local scope gone wrong
  6. Changing global variable from a function
  7. Global variables mutable in functions
  8. Scoping issues
  9. sub in sub
  10. Scoping sub in sub (enclosing scope)
  11. Function objects
  12. Functions are created at run time
  13. Mutable default
  14. Use None as default parameter
  15. Inner function created every time the outer function runs
  16. Static variable
  17. Static variable in generated function
  18. Inspect
• Variable number of function arguments
  1. Python function arguments - a reminder
  2. Functions with unknown number of argumerns
  3. Variable length argument list with * and **
  4. Passing arguments as they were received (but incorrectly)
  5. Unpacking args before passing them on
  6. Exercise: implement the my_sum function
  7. Solution: implement the my_sum function
  8. Exercise: implement the reduce function
  9. Soluton: implement the reduce function
  10. Exercise: sort pairs
  11. Solution: sort pairs
• Python Packages
  1. Why Create package
  2. Create package
  3. Internal usage
  4. use module in package - relative path
  5. use package (does not work)
  6. package importing (and exporting) module
  7. use package (module) with import
  8. use package with import
  9. Creating an installable Python package
  10. Create tar.gz file
  11. Install Package
  12. Dependencies
  13. Add README file
  14. Add README file (setup.py)
  15. Include executables
  16. Add tests
  17. Add tests calc
  18. Add tests all
  19. setup.py
  20. Run tests and create package
  21. Exercise: package
  22. Exercise: create executable
• Distribution of Python code
  1. Distribution demo 1
  2. Distribution demo 2
  3. Distribution demo 3
• Distribute Python application as an exe
  1. Packaging applications (creating executable binaries)
  2. Using PyInstaller
  3. Other PyInstaller examples
  4. Other
  5. Py2app for Mac
• Ctypes
  1. ctypes - hello
  2. concat
  3. links
• Advanced OOP
  1. Stringify class
  2. Multiple inheritance
  3. Multiple inheritance - diamond
  4. Interfaces
  5. Abstract Base Class
  6. Abstract Base Class with abc
  7. ABC working example
  8. ABC - cannot instantiate the base-class
  9. ABC - must implement methods
  10. Class Attributes
  11. Class count instances
  12. Destructor: __del__
  13. Class count instances - decrease also (destructor: __del__)
  14. Keep track of instances
  15. Keep track of instances properly (weakref)
  16. Destructor delayed
  17. Destructor delayed for both
  18. Class Attributes in Instances
  19. Attributes with method access
  20. Methods are class attributes - add method
  21. Methods are class attributes - replace method
  22. Methods are class attributes - Enhance method (Monkey patching)
  23. Method types
  24. Instance methods
  25. Class methods
  26. Class methods accessing class attributes
  27. Default Constructor
  28. Alternative constructor with class method
  29. Static methods
  30. Module functions
  31. Class and static methods
  32. Special methods
  33. Opearator overloading
  34. Operator overloading methods
  35. Declaring attributes (dataclasses)
  36. Dataclasses and __repr__
  37. Dataclasses and __eq__
  38. Dataclasses create __init__ and call __post_init__
  39. Dataclasses can provide default values to attributes
  40. Dataclasses and default factory
  41. Read only (frozen) Dataclass
  42. Serialization of instances with pickle
  43. Class in function
  44. Exercise: rectangle
  45. Exercise: SNMP numbers
  46. Exercise: Implement a Gene inheritance model combining DNA
  47. Exercise: imaginary numbers - complex numbers
  48. Solution: Rectangle
  49. Solution: Implement a Gene inheritance model combining DNA
  50. Instance Attribute
  51. Use Python @propery to fix bad interface (the bad interface)
  52. Use Python @propery to fix bad interface (first attempt)
  53. Use Python @propery to fix bad API
  54. Use Python @propery decorator to fix bad API
  55. Use Python @propery for value validation
• 2to3
  1. Convertig from Python 2 to Python 3
  2. division
  3. print in Python 2
  4. print in Python 3
  5. input and raw_input
  6. Code that works on both 2 and 3
  7. Compare different types
  8. Octal numbers
  9. 2to3 Resources
• Design Patterns
  1. What are Design Patterns?
  2. Don't replace built-in objects
  3. Facade - simple interface to complex system
  4. Monkey Patching
  5. Creation DPs "Just One"
  6. Singleton
  7. Monostate (Borg)
  8. Dispatch table
• Parallel
  1. Types of Problems
  2. Types of solutions
  3. Time slicing
  4. Concurrencies
  5. How many parallels to use?
  6. Dividing jobs
  7. Performance Monitoring
• Threads
  1. Python Threading docs
  2. Threaded counters
  3. Simple threaded counters
  4. Simple threaded counters (parameterized)
  5. Pass parameters to threads - Counter with attributes
  6. Create a central counter
  7. Lock - acquire - release
  8. Counter - plain
  9. GIL - Global Interpreter Lock
  10. Thread load
  11. Exercise: thread files
  12. Exercise: thread URL requests.
  13. Exercise: thread queue
  14. Solution: thread queue
  15. Solution: thread URL requests.
  16. Concurrency
• Forking
  1. Fork
  2. Forking
  3. Fork skeleton
  4. Fork with load
  5. Fork load results
  6. Marshalling / Serialization
  7. Fork with random
  8. Exercise: fork return data
  9. Solution: fork return data
• Asynchronous programming with AsyncIO
  1. Use cases for Async
  2. Event loop
  3. Print sync
  4. Print async
  5. Sync sleep
  6. Async sleep
  7. Sync sleep in loop
  8. Async sleep in loop
  9. Async sleep in loop with gather
  10. coroutines
  11. Async Tasks
  12. Count Async
  13. Passing the baton while sleeping 0 sec
  14. Async sleep in a queue
  15. Async http
  16. Sync http requests
  17. Async http requests
  18. Async http requests with queue
  19. Sync chores
  20. Async chores
• Async more
  1. Explanation
  2. Coroutines
  3. More about asyncio
  4. unsync
  5. Async files
  6. Async example
• Asynchronus programming with Twisted
  1. About Twisted
  2. Echo
  3. Echo with log
  4. Simple web client
  5. Web client
• Multiprocess
  1. Multiprocess CPU count
  2. Multiprocess N files: Pool
  3. Multiprocess load
  4. Multiprocess: Pool
  5. Multiprocess load async
  6. Multiprocess and logging
  7. Exercise: Process N files in parallel
  8. Exercise: Process N Excel files in parallel
  9. Exercise: Fetch URLs in parallel
  10. Exercise: Fetch URLs from one site.
  11. Solution: Process N files in parallel
  12. Solution: Fetch URLs in parallel
• Multitasking
  1. What is Multitasking?
  2. Multitasking example
  3. Multitasking example with wait
  4. Multitaksing - second loop waits for first one
  5. Multitasking counter
  6. Multitasking counter with thread locking
• Improving Performance - Optimizing code
  1. Problems
  2. Optimization strategy
  3. Locate the source of the problem
  4. Optimizing tactics
  5. DSU: Decorate Sort Undecorate
  6. Profile code
  7. Slow example
  8. profile slow code
  9. cProfile slow code
  10. Benchmarking
  11. Benchmarking subs
  12. Counting words - which implementation is faster?
  13. for loop or reduce to add numbers?
  14. Levenshtein distance
  15. Generate words
  16. Levenshtein - pylev
  17. Levenshtein - editdistance
  18. Editdistance benchmark
  19. A Tool to Generate text files
  20. Count characters
  21. Memory leak
  22. Garbage collection
  23. Weak reference
  24. Exercise: benchmark list-comprehension, map, for
  25. Exercise: Benchmark Levenshtein
  26. Exercise: sort files
  27. Exercise: compare split words:
  28. Exercise: count words
• GUI with Python/Tk
  1. Sample Tk Demo app
  2. Simple file dialog
  3. GUI Toolkits
  4. Installation
  5. Python Tk Documentation
  6. Python Tk Button
  7. Python Tk Button with action
  8. Python Tk Label
  9. Python Tk Label - font size and color
  10. Python Tk echo - change text of label
  11. Python Tk Keybinding
  12. Python Tk Mouse clicks
  13. Python Tk Mouse movements (motions)
  14. Python Tk Entry (one-line text entry)
  15. Python Tk Entry for passwords and other secrets (hidden text)
  16. Python Tk Checkbox
  17. Python Tk Radiobutton
  18. Python Tk Listbox
  19. Python Tk Listbox Multiple
  20. Python Tk Menubar
  21. Python Tk Text
  22. Python Tk Dialogs
  23. Python Tk simple dialog to get a single string, int, or float
  24. Python Tk Filedialog
  25. Python Tk messagebox
  26. Python Tk - custom simple dialog with its own widgets and buttons
  27. Python Tk Combobox
  28. Python Tk OptionMenu
  29. Python Tk Scale
  30. Python Tk Progressbar
  31. Python Tk Frame
  32. Python Tk display images using Canvas
  33. Python Tk display Hebrew text (right to left)
  34. Python Tk Colorchooser
  35. Python Tk Timer event (after)
  36. Python Tk Class-based Label + Button
  37. Tk: Runner
  38. Tk: Runner with threads
  39. Tk: Old Simple Tk app with class
  40. Tk: Old Hello World
  41. Tk: Old Quit button
  42. Tk: Old File selector
  43. Tk: Old Checkbox
  44. Tk: Old Getting started with Tk
  45. Exercise: Tk - Calculator one line
  46. Exercise: Tk - Calculator with buttons
  47. Exercise: Tk - Convert between CSV and Excel files
  48. Exercise: Tk - Shopping list
  49. Exercise: Tk - TODO list
  50. Exercise: Tk - Notepad
  51. Exercise: Tk - Copy files
  52. Exercise: Tk - Implement Master Mind board
  53. Exercise: Tk - a GUI for a grep-like application
  54. Solution: Tk - Calculator one line
  55. Solution: Tk - Calculator with buttons
  56. Solution: Tk - Convert between CSV and Excel files
  57. Solution: Tk - Implement Master Mind board
  58. Solution: Tk - Notepad
• Python Pitfalls
  1. Reuse of existing module name
  2. Use the same name more than once
  3. Compare string and number
  4. Compare different types
  5. Sort mixed data
• Linters
  1. Static Code Analyzis - Linters
  2. PEP8
  3. F811 - redefinition of unused
  4. Warn when Redefining functions
• Python .NET
  1. IronPython
  2. Use .NET libraries from Python
  3. Python and .NET console
  4. Python and .NET examples
  5. Exercise Python and .NET
• Python and Java
  1. Jython
  2. Calling Java from Python
• Jython - Python running on the JVM
  1. Jython Installation
  2. Jython Installation
  3. Jython load Java class
  4. Jython load Java class in code
  5. Jython test Java class
• Signals
  1. Signals and Python
  2. Sending Signal
  3. Catching Signal
  4. Catching Ctrl-C on Unix
  5. Catching Ctrl-C on Unix confirm
  6. Alarm signal and timeouts
  7. Exercise: Catching Ctrl-C on Unix 2nd time
  8. Exercise: Signals
  9. Ctrl-z
• Data Science
  1. Data Scince Resources
• PIL - Pillow
  1. Install Pillow
  2. Create First Image
  3. Write Text on Image
  4. Select font for Text on Image
  5. Font directories
  6. Get size of an Image
  7. Get size of text
  8. Resize an existing Image
  9. Crop an existing Image
  10. Combine two images
  11. Rotated text
  12. Rotated text in top-right corner
  13. Embed image (put one image on another one)
  14. Draw a triangle
  15. Draw a triangle and write text in it
  16. Draw a triangle and write rotated text in it
  17. Draw a rectangle
  18. Draw circle
  19. Draw heart
  20. Rectangle with rounded corners
  21. TODO
• FAQ
  1. How not to name example scirpts?
  2. Platform independent code
  3. How to profile a python code to find causes of slowness?
  4. pdb = Python Debugger
  5. Avoid Redefining functions
• Appendix
  1. print_function
  2. Dividers (no break or continue)
  3. Lambdas
  4. Abstract Class
  5. Remove file
  6. Modules: more
  7. import hooks
  8. Python resources
  9. Progress bar
  10. from __future__
  11. Variable scope
  12. scope
  13. type
  14. Look deeper in a list
  15. Exercise: iterators - count
  16. Simple function (before generators)
• Algorithm
  1. Exercise: Find the odd value
  2. Solution: Find the odd value
  3. Exercise: Generalized find the odd value
  4. Solution: Generlized Find the odd value
  5. Exercise: Shortest sublist with sum over limit
  6. Solution: Shortest sublist with sum over limit
• Scapy
  1. Virtualenv for root
  2. Install Scapy
  3. Tcpdump
  4. Scapy ping an IP using ICMP
  5. Scapy ping ICMP
  6. Scapy display (show)
  7. Scapy ip
  8. Scapy Configuration
  9. Scapy List interfaces
  10. Scapy ping-pong
  11. Scapy sniffing - capturing packets
  12. Scapy ping between two IPs that do not belong to my server
  13. Scapy Traceroute
  14. Scapy TCP port 80
  15. Scapy Layers
  16. Scapy HTTP
• Turtle
  1. Line
  2. Square (forward, left)
  3. Circle
  4. Square using the circle command
  5. Triangle
  6. Move turtle without drawing (penup, pendown, goto)
  7. Turtle house
  8. Turtle screen
  9. Tutle onclick - mouse click event
  10. Turle Commands
  11. Turtle Colors
  12. Turtle shape
  13. Turtle speed
  14. Undo the turtle
  15. Create new turtle
  16. Clone a turtle
• Refactor
  1. Refactoring example - change variable name
  2. How to Refactor
  3. Exercise: Fix deep indentation
• Machine Learning
  1. Types of Machine Learning algorithms
  2. ML - Supervised Learning
  3. Regression problem
  4. Classification problem
  5. ML - Unsupervised Learning
  6. Linear regression with sklearn
  7. Split data set
  8. Food-truck linear regression
  9. Basic Classification example
  10. Kaggle
  11. Kaggle - USA housing listing
  12. Kaggle - Iris
• Machine Learning 2
  1. Number of features
  2. Linear regression
  3. Cost function
  4. Gradient descent
  5. Matrices
  6. Machine Learning - Multiple features
  7. Feature Scaling
  8. Gradient Descent - Learning Rate
  9. Features
  10. Polynomial Regression
  11. Normal Equation
  12. Multiple features
  13. Logistic regression (for classification)
  14. Multi-feature Classification (Iris)
  15. Kaggle - Melbourne housing listing
  16. Machine Learning Resources
  17. Regression Analyzis
  18. Classification Analysis
  19. Unbiased evaluation of a model
  20. Splitting data
  21. Model selection and validation
  22. K-fold valiadtion
  23. Learning Curves
  24. Hypermatameter tuning (optimization)
  25. The k-Nearest Neighbors (kNN)
  26. K-Means Clustering
  27. Boston housing prices
  28. Decision Tree
  29. Random Forrest
  30. Resnet 50
• Octave
  1. Octave install
  2. Octave interactive shell
  3. Math
  4. Logical operations
  5. Octave change interactive prompt
  6. Plotting data
  7. Flow Control
• OpenCV
  1. OpenCV Installation
  2. Download images
  3. OpenCV Read image
  4. OpenCV - read image and fail
  5. OpenCV resize (rescale) images
  6. OpenCV cropping image
  7. OpenCV crop, resize and save image
  8. OpenCV - draw on new images
  9. OpenCV - draw rectangle
  10. OpenCV - draw circle
  11. OpenCV convert BGR to greyscale and back to BGR
  12. OpenCV blur image
  13. OpenCV Gaussian blur
  14. OpenCV Median blur
  15. OpenCV Bilateral blur
  16. OpenCV blur part of an image
  17. OpenCV - Thresholding
  18. OpenCV - Simple Thresholding
  19. OpenCV - Adaptive Thresholding
  20. OpenCV - Gradients and Edges
  21. OpenCV - finding edges using Canny
  22. OpenCV - Laplacian Gradients
  23. OpenCV - Sobel Gradients
  24. OpenCV - Canny Dilate Erode
  25. OpenCV Move of an Image
  26. OpenCV - Rotate Image
  27. OpenCV - Flip Image
  28. OpenCV - Contours
  29. OpenCV - Draw contours of an image on a blank image
  30. OpenCV - ColorSpaces
  31. OpenCV - BGR to RGB
  32. OpenCV - BGR to HSV
  33. OpenCV - BGR to LAB
  34. OpenCV - Split and merge color channels
  35. OpenCV - bitwise operations
  36. OpenCV - masking
  37. OpenCV - grayscale historgrams
  38. OpenCV - color historgrams
  39. OpenCV - Face detection
  40. OpenCV - Face recognition
  41. Jupyter notebook
  42. Download movies
  43. OpenCV Read video
  44. Show images - accept key presses
  45. OpenCV Resources
• Overview of Python syntax
  1. Scalars
  2. Numbers
  3. Strings
  4. int - float - string conversion
  5. Booleans
  6. Lists
  7. Queue and Stack
  8. Dictionaries
  9. Tuples
  10. Sets
  11. I/O
  12. STDIN - Standard input
  13. CLI
  14. Control flow
  15. While - Loops
  16. For - Loops
  17. Conditionals
  18. Comparision operators
  19. Boolean operators
  20. The conditional (ternary) operator
  21. Random Values
  22. Math
  23. Exceptions
• Serialization (Marshalling)
  1. Why Serialization is needed?
  2. Questions to ask
  3. Various tools for serialization
  4. Serialization with h5py
  5. Serialization of single Numpy array
  6. Serialization of multiple Numpy arrays
• MLOps
  1. The goal of MLOps
  2. Agile Manifesto
  3. DevOps
  4. Machine Learning Operations
  5. What is MLOps?
  6. MLOps community
  7. Silicon
  8. Off-line (batch) vs On-line (streaming) learning
  9. Security question of MLOps
  10. Data
  11. MLOps progress
  12. Reload modules in Jupyter Notebook
  13. Testing ML
  14. What to track?
  15. What are the inputs and what are the artifacts?
  16. Tooling for MLOps
  17. DVC
  18. Data Pipelines (Workflow management)
  19. MLFlow
  20. MLFLow Tracking server backends
  21. MLFlow Tracking
  22. MLFlow Projects
  23. MLFlow Models
  24. Resources
  25. Goals of SCM
  26. MLOps notes
• Other slides
  1. Other slides
  2. Atom for Python
  3. IDLE - Integrated DeveLopment Environment
  4. sh-bang - executable on Linux/Apple
  5. Strings as Comments
  6. pydoc
  7. Spyder Intro
  8. Interactive Debugging
  9. Parameter passing
  10. Command line arguments and main
  11. Infinite loop
  12. break
  13. continue
  14. While with many conditions
  15. while loop with many conditions
  16. Format with conversion (stringifiation with str or repr)
  17. Name of the current function in Python
  18. Name of the caller function in Python
  19. Stack trace in Python using inspect
  20. Module Fibonacci
  21. PyTest - assertion
  22. PyTest - failure
  23. PyTest - list
  24. SAX with coroutine
  25. Getting the class name of an object
  26. Inheritance - super
  27. Inheritance - super - other class
  28. iterator - pairwise
  29. iterator - grouped
  30. itertools - groupby
  31. Circular references
  32. Context managers: with (file) experiments
  33. itertools - izip
  34. mixing iterators
  35. mixing iterators
  36. itertools - pairwise
  37. itertools - grouped
  38. range vs xrange in Python
  39. profile (with hotshot) slow code
  40. Abstract Base Class without abc
  41. Abstract Base Class with abc Python 2 ?
  42. Abstract Base Class with metaclass
  43. Create class with metaclass
  44. Python Descriptors
  45. alter iterator
  46. Create a counter queue
  47. A Queue of tasks
  48. Filtered Fibonacci with ifilter
  49. Python from .NET
  50. assert to verify values
  51. mycalc as a self testing module
  52. doctest
  53. Export import
  54. Export import with __all__
  55. import module
  56. deep copy list
  57. deep copy dictionary
  58. Pandas Stocks
  59. Pandas Stocks
  60. Merge Dataframes
  61. Analyze Alerts
  62. Analyze IFMetrics
  63. Calculate Genome metrics - add columns
  64. Calculate Genome metrics - vectorized
  65. Calculate Genome metrics - vectorized numpy
  66. Pandas more
  67. Pandas Series
  68. Pandas Series with names
  69. Matplotlib subplot
  70. Jupyter StackOverflow - historgram
  71. Jupyter StackOverflow - OpenSourcer
  72. Jupyter StackOverflow - cross tabulation
  73. Jupyter StackOverflow - salaries
  74. Jupyter StackOverflow - replace values
  75. ord in a file
  76. NameError
  77. UnboundLocalError
  78. Insert element in sorted list using bisect
  79. Insert element in sorted list using insort
  80. Pytest: monkeypatching time
  81. PyTest: no random order
  82. Classes
  83. Create a class inherit from object
  84. Abstract Base Class without ABC
  85. Gravatar in Python
  86. Debug with ptpython
  87. REPL - Interactive debugging with ptpython
  88. Print in color on the CLI
  89. Easy Install
  90. sorting with sorted using a key
  91. get and set locale
  92. Modify time anomality
  93. Some strange code
  94. is vs ==