Introduction

• Our First Python Program
• Printing in Python
• Printing text
• Printing the result of a calculation
• Strings in Python
• The Escape Character
• Printing tabs
• More on Escape Characters in Strings
• Variables and Types
• Python is a Strongly Typed Language
• Using a Debugger in IntelliJ or Pycharm (front)
• PEP8: The Python Style Guide(front)
• Numeric Data Types in Python
• Numeric Operators
• Expressions
• Integer division
• Operator Precedence

Python Input and Output (I/O)

• Introduction to the Section
• Reading and writing text files
• Writing Text Files
• Appending to Files and Challenge
• Writing Binary Files Manually

Flow Control statements in Python

• Introduction to Blocks and Statements
• if Statements
• elif
• More on if, elif and else
• if, elif, and else in the Debugger
• Adding a Second Guess
• Conditional Operators
• Challenge Solution
• Using and, or, in Conditions
• Simplify Chained Comparison
• Boolean Expression True and False
• Truthy Values
• in and not in
• if Challenge
• Solution to if Challenge
• for loops
• Stepping through a for loop
• for loops Extracting Values from User Input
• Iterating Over a Range
• More About Ranges
• For loop with step
• Nested for loops
• continue
• break
• Initializing Variables and None
• while  and do loops
• More on while loops and do loops
• Break in a while loop
• The Random Module and Import
• Binary Search
• Hi Lo Game

Pass Statement and Complete the Hi Lo Game

• Testing the Hi Lo Game
• Augmented Assignment
• Refactoring Code
• else in a loop
• else in the Hi Lo Game
• Conditional Debugging
• Another else Example
• Changing the Condition

String in python

• The str String Data Type
• Negative Indexing in Strings
• Slicing
• Slicing with Negative Numbers
• Using a Step in a Slice
• Slicing Backwards
• Challenge Solution and Slicing Idioms
• String Operators
• String Replacement Fields
• String Formatting
• f-strings
• Python 2 String Interpolation
• Section Summary
• The Basics of Python

List and Tuples

• Introduction to Sequence Types
• Lists
• Immutable Objects
• Mutable Objects
• Binding Multiple Names to a List
• Common Sequence Operations
• Operations on Mutable Sequences
• Appending to a List
• Mini Challenge Solution
• Iterating Over a List
• The enumerate Function
• Improving our Code
• Removing Items from a List
• Sorting Lists
• Built-in Functions
• Sorting Things
• Case-Insensitive Sorting
• Creating Lists
• Replacing a slice
• Deleting Items from a List
• Safely removing values from a list
• Removing the High Values
• Test, Test and Test. Then Test Again!
• Testing the Program
• Removing Items from a List Backwards
• The Reversed Function
• Algorithms Performance
• Summary so far
• Nested Lists & Code Style
• Processing Nested Lists
• Solution to nospam Challenge
• Function Signatures
• print revisited
• The join Method
• The split Method
• Solution to Mini Challenge
• Tuples introduction
• Tuples are Immutable
• Unpacking a Tuple
• Practical uses for Unpacking Tuples
• More Unpacking
• Nested Tuples and Lists
• Solution to Unpacking Challenge
• Constants in Python

Dictionaries and set

• Introduction
• What is a dictionary?
• Iterating over a dictionary
• Adding items to a dictionary
• Changing values in a dictionary
• Removing items from a dictionary
• Using `in` with a dictionary
• Dictionary menu challenge solution
• Using a list with a dictionary
• Adding items to a dictionary
• Using several dictionaries together
• Checking quantities - the code
• Solution: Create a shopping list challenge
• Wrong decisions don't have to be fatal
• The setdefault method
• APIs and a mobile phone demo
• The `dict` documentation
• The remaining `dict` methods
• The dict `update` method
• The dict `values` method
• References to mutable objects
• Hash functions
• A really bad hashing function
• Hash tables
• Completing our simple dictionary implementation
• Hash functions and security
• hashlib, the secure hash module
• Python sets
• Implications of sets being unordered
• set membership
• Testing set membership is fast
• Adding items to a set
• Using a set to remove duplicate values
• Deleting items from a set
• The `discard` method
• The `remove` method
• The `pop` method
• set union
• Set union in practice
• Union update
• Advantage of the set operation methods over the operators
• Set intersection
• Set intersection in practice
• Set difference
• Set difference in practice
• Set symmetric difference
• subsets and supersets
• subsets and supersets in Python

Function in Python

• Introduction
• Defining a function
• Program flow when calling a function
• Parameters and arguments
• Debugging with parameters
• Palindromes
• Palindrome challenge solution
• Sentence challenge solution
• Functions calling functions
• Returning values
• get_integer Challenge solution
• Returning None
• Functions that perform actions
• Handling invalid arguments
• width challenge solution
• Default parameter values
• Keyword arguments
• Docstrings
• Writing a Docstring
• How professional is that!
• Solution to Docstrings challenge
• Fibonacci Numbers
• Writing a fibonacci function
• Function annotations and type hints
• Function annotations with default values
• Solution to banner_text Docstring challenge
• A function to test our HiLo game
• Counting correct guesses
• Playing Fizz Buzz
• Playing Fizz Buzz Solution
• Factorial function
• *args
• colour_print with multiple arguments
• Rules for variable number of arguments
• Defining different parameter types
• Variable number of arguments

Global and local variables

• Global Variables
• Global Keyword
• Scope in Functions
• Importing Techniques
• Underscores in Python code
• Namespaces, more on Scope and Recursion
• Recursion with OS Module and Filesystem and Nonlocal keyword
• Nonlocal keyword, Free and LEGB

Modules in Python

• Introduction to the Section
• Modules and import
• The standard Python library
• Web Browser Module
• Time and DateTime in Python
• Python date time module
• Python datetime.strftime()
• Python datetime.strptime()
• Get Current time
• Timestamp to datetime
• Python time module
• Python tim.sleep()

Oops Concept in Python

• Python oop
• Python class
• Python inheritance
• Multiple inheritance