🐍 Python Programming Fundamentals

Get started with Python and understand its philosophy and applications.

• What is Python?
• Python philosophy (Zen of Python)
• Installation and setup
• Python interpreter
• Interactive vs script mode
• Python IDEs and editors
• First Python program
• Python ecosystem overview

Learn about Python's dynamic typing and fundamental data types.

• Variables and naming conventions
• Numeric types (int, float, complex)
• String data type
• Boolean type
• Type conversion
• Dynamic typing
• Variable scope
• Constants in Python

Master Python operators and build complex expressions.

• Arithmetic operators
• Comparison operators
• Logical operators
• Assignment operators
• Bitwise operators
• Identity operators
• Membership operators
• Operator precedence

Control program execution with conditional statements and loops.

• if, elif, else statements
• Nested conditionals
• for loops
• while loops
• break and continue
• pass statement
• Loop else clause
• Nested loops

Work with Python's built-in data structures effectively.

• Lists and list methods
• Tuples and immutability
• Dictionaries and key-value pairs
• Sets and set operations
• List comprehensions
• Dictionary comprehensions
• Nested data structures
• Choosing the right structure

Create reusable code with functions and understand scope.

• Function definition and syntax
• Parameters and arguments
• Return statements
• Default parameters
• Variable-length arguments
• Keyword arguments
• Local and global scope
• Lambda functions

Master string manipulation and text processing techniques.

• String indexing and slicing
• String methods
• String formatting
• f-strings
• Regular expressions
• Text file processing
• Unicode and encoding
• String validation

Read from and write to files, handle different file formats.

• Opening and closing files
• Reading file content
• Writing to files
• File modes
• Context managers (with statement)
• File paths and directories
• CSV file handling
• JSON file operations

Handle errors gracefully and debug Python programs.

• Understanding exceptions
• try, except blocks
• Multiple exception handling
• else and finally clauses
• Raising custom exceptions
• Exception hierarchy
• Debugging techniques
• Logging basics

Learn OOP concepts and implement classes and objects.

• Classes and objects
• Attributes and methods
• Constructor (__init__)
• Inheritance
• Encapsulation
• Polymorphism
• Special methods
• Property decorators

Organize code with modules and explore the Python ecosystem.

• Creating modules
• Importing modules
• Standard library overview
• Package structure
• __init__.py files
• pip package manager
• Virtual environments
• Popular third-party packages

Explore advanced function concepts and functional programming.

• Decorators
• Generators and yield
• Iterator protocol
• map, filter, reduce
• Closures
• Function annotations
• Recursive functions
• Functional programming concepts

Introduction to data analysis with Python libraries.

• NumPy arrays
• Pandas DataFrames
• Data cleaning
• Data visualization with Matplotlib
• Statistical operations
• Reading various data formats
• Data aggregation
• Basic data analysis workflow

Build web applications with Python frameworks.

• Web development overview
• Flask framework basics
• Routing and views
• Templates
• Forms handling
• Database integration
• RESTful APIs
• Deployment basics

Write robust code with testing and follow Python best practices.

• Unit testing with unittest
• Test-driven development
• pytest framework
• Code coverage
• PEP 8 style guide
• Code documentation
• Performance optimization
• Project structure