Python Tutorial for Beginners (2024) - Complete Course with AI Tools & Best Practices

Learn Python programming from scratch with this beginner's course! In this complete tutorial, you'll master Python fundamentals while learning how to leverage modern AI tools like Claude and ChatGPT to accelerate your learning.

What you'll learn:
* Python installation and setup
* Variables and data types
* Conditional statements (if/else)
* Functions and scope
* Loops and iteration
* Keyboard shortcuts
* Virtual environments
* NumPy basics
* Matplotlib visualization
* Common beginner pitfalls and solutions
🔥 Special Features:
* Modern approach integrating AI tools
* Practical examples and best practices
* Clear explanations of complex concepts
* Tips from 4+ years of teaching experience and 20 years of programming experience
* Focus on both fundamentals and real-world applications

▬ 💻 *Get course materials* ▬▬▬▬

Jupyter Notebook download link:

Jupyter Notebook PDF download link:

Conda cheat sheet:

▬ 📚 *Video Chapters* ▬▬▬▬

00:00 Introduction to Python for Beginners
01:13 Chapter 1: Chapter 1: Basics & Installation
04:27 Section 1.3: Installation of Jupyterlab Desktop & Anaconda
6:16 Troubleshooting the installation
6:44 Jupyterlab usage & best practices
9:47 Get the exercises
10:42 Section 1.5 Anaconda Cloud
11:14 Section 1.6 AI Tools: ChatGPT, Claude, Anaconda Assistant
13:38 Section 1.7Jupyter Notebooks vs Python Scripts
16:08 Chapter 2: Python Variables and Data Types
17:45 Section 2.1: Strings & f-strings
19:56 Section 2.2: Integers & Basic Math
20:37 Section 2.3: Cell state
22:10 Section 2.4: Comments
24:18 Data structures: Tuples, Lists
30:09 Section 2.7: Dictionaries
31:30 Section 2.8: Comparison of different data structures
32:34 Chapter 3: If statements
34:34 Section 3.1: Boolean Variables and Logical Operators
35:08 Section 3.2: “and” operator
36:02 Section 3.3: “or” operator
36:57 Section 3.4: Boolean Logic Weather example
37:46 Section 3.5: Elif Statements and Multiple Conditions
40:39 Section 3.6: Creating Booleans by comparison
41:11 Summary Chapter 3: If statements
41:34 Chapter 4: Functions
45:47 Section 4.2: Multiple return values
47:09 Section 4.3: Scope
50:19 Section 4.8: Error Handling and Debugging
51:15 Anaconda Assistant for Debugging
54:17 Section 4.9: Common Errors
55:55 Chapter 5: Loops
58:17 Section 5.2: for loops
1:01:38 Chapter 6: Keyboard Shortcuts
1:04:50 Chapter 7: Virtual Environments
1:06:24 Section 7.2 Why use virtual environments?
1:08:20 Section 7.3: Managing Environments with Anaconda and Pip
1:11:08 Installing environments
1:12:16 Fixing Windows Powershell
1:12:35 Add conda to Powershell
1:13:33 Creating YAML files
1:15:45 Section 7.8: Environments in Anaconda Cloud
1:16:52 Section 7.9: Exporting & Sharing Environments
1:18:22 Chapter 8: First Steps with NumPy
1:24:46 Chapter 9: First Steps with Matplotlib
1:27:13 Section 9.2 Scatter Plots
1:28:48 Section 9.3 Histogram
1:29:32 Section 9.4 Contour Plots
1:30:31 Section 9.5 Pie charts
1:31:25 Section 9.6 Summary Chapter 9: Matplotlib
1:32:02 Chapter 10: FAQ
1:32:17 Section 10.1: Whenever I look at your code it makes sense, when I try it I get errors
1:33:30 Section 10.2: How to think like a programmer?
1:36:21 Section 10.3: Naming Variables: Avoid Keywords and Built-in Functions
1:36:55 Section 10.6: Which one of the AI tools should I be using?
1:38:04 Section 10.8: What are some common Python libraries for data analysis and when should I use them?
1:38:36 Section 10.9: How can I collaborate on Python projects with others using version control?
1:39:10 Section 10.10: How can I improve my skills further?

▬ *Commands used in the video:* ▬▬▬▬

To add conda to Powershell:

In Anaconda Prompt:
conda init powershell

In Powershell:
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

▬ *Hashtags* ▬▬▬▬

#Python #Programming #LearnToCode #CodingTutorial #PythonProgramming #Tech #Education #Coding #AI #DataScience #PythonTutorial #LearnPython #Technology #Developer #CodeNewbie #100DaysOfCode #PythonCourse #TrainingScientists

🖥 Ready to take your Python skills to the next level? Visit our website to explore our comprehensive range of Python courses. Don't wait – your journey to mastering Python begins here:

💬 Did you enjoy this video? Share your thoughts in the comments below!

✅ Subscribe here:

[SibylleFischer-mfbh]

First Python tutorial that actually explains virtual environments in a way that makes sense. No more "it works on my machine" problems! 🚀

[ItsSaduu]

Amazing information to have in this video

[hannemller]

Really appreciate you explaining the "why" behind things, not just the "how". Those small tips from your teaching experience are gold 💪

[LoreleiKonig]

The error handling section at 50:20 saved me so much time - finally someone explaining what these error messages actually mean! 💡

[silkeschultheiss]

The chapter markers are perfect - came back to rewatch the functions part and found it immediately. Great structure and pacing 👍

[RiekeHoffman]

Great explanation! Love how you included modern AI tools while still emphasizing the fundamentals. Really helped me understand scope and virtual environments better 🙌

[vanessacole]

Watching this makes me wish you were my CS professor. Clear explanations and practical examples. Already subscribed for more content! 🎓

[DeriviaGarrett]

Thanks for making this beginner-friendly and still covering advanced concepts like NumPy and Matplotlib. The Jupyter notebook is super helpful too 📊

[CasperKlee]

That section about not naming variables after built-in functions (with the skulls 💀) definitely saved me from future headaches. Subscribed!

[Atokxn]

Great work on that video, thanks for sharing !🔥

[uthairatK]

Thank you for the video and knowledge sharing. Looking forward to the next one!!

[muhammadyaqoob]

Nice information with perfect information and guidance. Narration is the best.

[yasirhamid]

Step by step explanation, very well explained in the video. Keep it up!

[naturenexus]

Thank you so much for teaching it in such effective way.

[Luebbahtze]

Very good overview and very well structured. Thanks!
Also potentially a new record for the video with the most chapters 😀 German accuracy 👍

[Anamirshad]

Your channel is providing amazing and interesting videos

[ajmalshaheen]

It's superb amazing educational video ❤❤❤❤

[RukhKhawaja]

Your video is very amazing and unique quality

[sohailaziz]

A brilliant tutorial and well explained

[jamesabbott]

How can I get Python and YOLO (and other packages) to use my GPU instead of my CPU. I am running Ubuntu Linux and using PyCharm. Are their other IDEs that would allow me access to the GPU to run my video processing code? Thanks in advance!