• What is Python?
• Advantages of using Python
• Python 2 vs. Python 3
• Installing Python
• Setting up a development environment

• Introduction to Anaconda distribution
• Installing Anaconda
• Managing Python environments with conda
• Introduction to Jupyter Notebook
• Running and executing code in Jupyter Notebook
• Markdown cells and documentation

• Running Python scripts from the command line
• Understanding the Python interpreter
• Interacting with Python using the interactive shell
• Executing Python scripts in an Integrated Development Environment (IDE)

• Understanding variables and data types in Python
• Numeric data types: integers, floats, and complex numbers
• Text data types: strings and string manipulation
• Boolean data type and logical operations
• Type conversion and casting

• Arithmetic operators: +, -, *, /, %, **
• Assignment operators: =, +=, -=, *=, /=, %=
• Comparison operators: ==, !=, >, <, >=, <=
• Logical operators: and, or, not
• Bitwise operators: &, |, ^, ~, <<, >>

• if, elif, and else statements
• Comparison operators and logical conditions
• Nested conditional statements
• while loop and break statement
• for loop and range function
• List Vs Array
• Iterating over lists, tuples, sets, and dictionaries

• Defining and calling functions
• Function parameters and arguments
• Default arguments and keyword arguments
• Variable-length arguments: *args and **kwargs
• Lambda functions and anonymous functions
• Scope and namespaces

• Lists: creating, indexing, slicing, and modifying
• Tuples: creating, indexing, slicing, and immutability
• Sets: creating, adding, removing, and set operations
• Dictionaries: creating, accessing, modifying, and dictionary operations
• Python Array
• Numpy Array

• Reading and writing text files
• Working with CSV, JSON, and XML files
• File modes and file handling
• Managing directories and file paths
• File and directory operations: copying, moving, deleting

• Introduction to modules and importing modules
• Creating and using modules
• Standard Library: common modules and their functionalities
• Creating and using packages
• Exploring third-party libraries and installation with pip

• Understanding object-oriented programming (OOP) concepts
• Classes and objects: creating and using classes
• Instance variables and methods
• Inheritance and multiple inheritance
• Polymorphism and method overriding
• Access modifiers: public, private, and protected
• Advanced OOP concepts: abstract classes, interfaces, and mixins

• Introduction to regular expressions
• Matching patterns with regular expressions
• Using metacharacters and quantifiers
• Replacing and splitting strings using regular expressions
• The re module: pattern matching functions and methods

• Understanding exceptions and errors
• The try-except block: handling exceptions
• Catching specific exceptions and multiple exceptions

• Multi-Threading in Python
• Socket Programming
• UDP/TCP
• Multi-Threading Applications

Git Basics

• Git Commands
• Clone a Repository
• Git Branching
• Merging
• Git Stash
• Git Add Interactive
• Reflog
• Cherry Picking
• Git Rebase
• Git Bisect
• Fetching and Pulling Content
• Working With Multiple Repositories
• Pushing Code
• Pull Requests
• Git Log
• Squashing Commits
• Cherry-Picking and Three-Way Merges
• Git Hooks
• Advanced: Beyond the Basics
• GitHub Overview
• SSH Authentication
• GitHub Repository
• GitHub Repository Branches
• GitHub Tags and Releases
• Comparing Differences
• Social Coding
• GitHub Issues
• GitHub Gists
• GitHub Organisations