Learn Python

Introduction to Python

  • What is Python?
  • Installing and setting up the environment
  • Your first Python program: "Hello, World"
  • Recommended tools (IDEs, virtual environments)
  • Basic syntax and structure of the language

Data Types and Operators

  • Numbers (int, float, complex)
  • Strings
  • Booleans
  • Lists, Tuples, and Sets
  • Dictionaries
  • Arithmetic, logical, and comparison operators

Control Structures

  • Conditional statements: if, elif, else
  • Loops: for and while
  • Flow control: break, continue, and pass
  • List comprehensions

Functions

  • Function definition: def
  • Parameters and arguments
  • Return values
  • Lambda functions
  • Variable scope
  • Decorators and closures

File Handling

  • Reading and writing text files
  • Handling binary files
  • File exceptions management
  • Using the os module for file and directory operations

Error and Exception Handling

  • Introduction to exceptions
  • try, except, finally blocks
  • Custom exceptions
  • Advanced error handling and debugging

Object-Oriented Programming (OOP)

  • OOP concepts: Classes and Objects
  • Methods and attributes
  • Inheritance
  • Polymorphism
  • Encapsulation and abstraction
  • Special methods and operator overloading

Modules and Packages

  • What are modules and how to use them?
  • Creating custom modules
  • Python packages
  • Using standard modules (e.g., math, datetime, random)
  • Installing and using external packages with pip

Data Handling

  • Introduction to data manipulation
  • Using csv and json
  • sqlite3 module for local databases
  • Introduction to pandas for data analysis
  • Data visualization with matplotlib and seaborn

Functional Programming in Python

  • Map, filter, and reduce
  • Iterators and generators
  • Generator expressions
  • functools and itertools functions

Asynchronous Programming

  • Introduction to asynchronous programming
  • asyncio module
  • async and await
  • Working with threads and processes (modules threading and multiprocessing)

Testing and Debugging

  • Unit testing with unittest
  • Integration testing
  • Using pytest
  • Debugging techniques with pdb

Web Development with Python

  • Introduction to Flask
  • Building APIs with Django REST Framework
  • Template management with Jinja2
  • Authentication and security in web applications

Automation and Scripting

  • Automating tasks with Python
  • Using cron and Python scripts
  • Automating processes with Selenium
  • Working with APIs (using requests)

Data Science and Artificial Intelligence

  • Introduction to Data Science
  • Data analysis with pandas
  • Machine learning algorithms with scikit-learn
  • Introduction to neural networks with TensorFlow and Keras

Best Practices and Code Style

  • Style conventions (PEP 8)
  • Code documentation
  • Refactoring and code optimization
  • Code versioning and using git

Final Projects

  • Build a website with Flask
  • Develop a simple game with pygame
  • Create a RESTful API with Django
  • Final data science project

Appendices

  • Additional resources
  • Glossary of terms
  • Extra exercises by topic
  • Exercise solutions