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

⚠️ NOTE: Chapter 1 (installation) uses outdated tools (JupyterLab Desktop and Anaconda). Chapters 2-10 teach Python fundamentals that work in any environment. For current setup: → Package Manager: https://youtu.be/kAEjhRu8aF0 (Miniforge) → IDE: https://youtu.be/7mh0w_rLKUQ (PyCharm/VS Code) → Updated version coming soon with new Chapter 1! Learn Python programming from scratch! 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 * 4+ years teaching experience, 20+ years programming * Focus on fundamentals and real-world applications ▬ Read the full blog post ▬▬▬▬ https://training-scientists.com/blog/python-tutorial-for-beginners-2025-complete-course-with-ai-tools-best-practices/ ▬ Get course materials ▬▬▬▬ Jupyter Notebook: https://filedn.eu/lzX4tkcRu9GhrFVGgO1SbPk/jupyter_notebooks/python_basics.ipynb PDF Version: https://filedn.eu/lzX4tkcRu9GhrFVGgO1SbPk/jupyter_notebooks/python_basics.pdf Environment File (YAML): https://filedn.eu/lzX4tkcRu9GhrFVGgO1SbPk/lab_python_course_env.yml Conda Cheat Sheet: https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf ▬ Related Videos ▬▬▬▬ * NEW Package Manager Setup (Miniforge) - https://youtu.be/kAEjhRu8aF0 * NEW IDE Comparison (PyCharm/VS Code) - https://youtu.be/7mh0w_rLKUQ * Using AI Tools Effectively - https://youtu.be/KVLNA2231U4 ▬ Video Chapters ▬▬▬▬ 00:00 Introduction to Python for Beginners 01:13 Chapter 1: Basics & Installation (OUTDATED - see description) 04:27 Section 1.3: Installation of Jupyterlab Desktop & Anaconda 06:16 Troubleshooting the installation 06:44 Jupyterlab usage & best practices 09:47 Get the exercises 10:42 Section 1.5 Anaconda Cloud 11:14 Section 1.6 AI Tools: ChatGPT, Claude, Anaconda Assistant 13:38 Section 1.7 Jupyter 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: When I look at your code it makes sense, when I try 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 AI tools should I be using? 1:38:04 Section 10.8: Common Python libraries for data analysis 1:38:36 Section 10.9: Collaborating with 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 ▬ Follow Training Scientists on social media ▬▬▬▬ LinkedIn: ▶️ https://www.linkedin.com/in/dr-maurice-maurer/ Instagram ▶️ https://www.instagram.com/dr.mauricemaurer/ ✅ Subscribe: https://www.youtube.com/@TrainingScientists?sub_confirmation=1 🖥 Full courses at: https://Training-Scientists.com/ #Python #Programming #LearnToCode #PythonTutorial #LearnPython #PythonCourse #TrainingScientists #AI #DataScience