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become an expert in python in only 9 hours
Rating: 4.0 out of 5(1 rating)
1 students

become an expert in python in only 9 hours

learn python
Created byHamad ismael
Last updated 1/2025
English

What you'll learn

  • basic of programming
  • python from A to Z
  • learn python from scratch
  • learn python for biggener

Course content

4 sections24 lectures8h 37m total length
  • Ch1:Start here13:27

    All Resources for this Python Course: https://github.com/gitdagray/python-course


  • Ch2: Python Basics12:35

    Chapter 2 UPDATE: The latest versions of VS Code no longer support the auto-formatting I demonstrated. That said, I did the research, and if you want this formatting behavior, I show you how to get it back here:https://www.davegray.codes/posts/how-to-auto-format-unwanted-python-line-indents

  • Ch3: Operators16:29
  • Ch4: Data Types36:57
  • Ch5: User Input22:06
  • Ch6: Lists & Tuples31:29
  • Ch7:Dicts & Sets29:23
  • ch8:Loops22:40
  • Ch9: Function14:44
  • Ch10: Recursion17:22

Requirements

  • no programming experience needed

Description

Unlock the power of Python with this comprehensive beginner-friendly course designed for those new to programming. Python is one of the most popular and versatile programming languages in the world, used in fields like data science, web development, automation, machine learning, and more. Whether you're looking to start your coding journey or enhance your skills, this course will provide you with the foundational knowledge and hands-on experience you need to succeed.

What You Will Learn:

  • Introduction to Python: Learn the basics of Python syntax and how to write simple programs.

  • Data Types & Variables: Explore Python’s data types, including strings, integers, floats, and booleans, and learn how to use them in your programs.

  • Control Flow: Master the use of conditional statements (if/else) and loops (for, while) to control program execution.

  • Functions: Understand how to define and call functions, a core concept in programming.

  • Lists & Dictionaries: Work with Python’s powerful data structures to store and manipulate collections of data.

  • Error Handling: Learn to handle exceptions and errors to write more robust code.

  • Practical Projects: Build small projects to apply your knowledge, like a calculator, to-do list, or simple games.

  • Best Practices: Get tips on writing clean, readable code and learn essential debugging techniques.

Who this course is for:

  • who wanna learn programming or python specificly