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Python Programming Online Course

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Bookmark Enrolled Intermediate

Python Programming Online Course

Python's popularity has surged in recent years, making it one of the most in-demand programming languages in today's job market. With Python skills, you can break into exciting fields such as data science, web development, automation, and more.

This course takes a hands-on approach to learning Python by guiding you through the process of building real-world applications. You'll begin with a solid foundation in Python basics, including installation and syntax, and gradually progress to writing clean, professional-grade code using Python's core principles and object-oriented programming (OOP).

As you move forward, you'll explore advanced topics such as:

  • Database integration

  • Web development and web scraping

  • Working with APIs

  • Advanced OOP concepts

  • GUI development using Tkinter

You’ll also learn how to conduct unit testing, implement data structures and algorithms, and leverage key Python libraries. The course concludes with a comprehensive review of major concepts to reinforce your learning.

By the end of this course, you’ll have the skills and confidence to develop robust, scalable Python applications and pursue opportunities in a variety of tech-driven industries.

Course Curriculum

  1. Introduction to Python
  2. Python Fundamentals
  3. Milestone Project 1
  4. Object-Oriented Programming with Python
  5. Errors in Python
  6. Files in Python
  7. Databases in Python and Milestone Project 2
  8. Type Hinting in Python
  9. Advanced Built-in Functions in Python
  10. Advanced Python Development
  11. Web Scraping with Python
  12. Browser Automation with Selenium
  13. Asynchronous Python Development
  14. Python on the Console and Managing Project Dependencies
  15. Web Development with Flask
  16. Interacting with APIs with Python
  17. Decorators in Python
  18. Advanced Object-Oriented Programming
  19. Graphical User Interface (GUI) Development with Tkinter
  20. Unit Testing with Python
  21. Algorithms and Data Structures
  22. Python Libraries
  23. Python Reference/Refresher

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