Посты за сентябрь 2026

25 GitHub Repositories Every Python Developer Should Know! Want to improve your Python skills, discover powerful tools, and learn from real-world projects? GitHub is one of the best places to learn from the Python community. 👉 Explore the complete list: https://www.clcoding.com/2025/02/25-github-repositories-every-python.html

Daily Python Question — Day 1261 Can you predict the output of this Python code? This challenge tests your understanding of new(), object creation, and how Python can control whether a new instance is created. Code Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-day-1261-what.html

Python Quiz of the Day Python Coding Challenge - Question with Answer (ID 270926) Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-270926.html

LIVE SESSION ALERT — September Data Science Bootcamp! We’re on Day 19 of the September Data Science Bootcamp, and today we’re diving into: Complete EDA Workflow with a Real Dataset In this live session, we’ll go beyond theory and work through a practical Exploratory Data Analysis (EDA) workflow, including: 📌 Understanding the dataset 📌 Data cleaning & preprocessing 📌 Handling missing values 📌 Exploring distributions & patterns 📌 Finding correlations & relationships 📌 Creating meaningful visualizations 📌 Extracting insights from real data 📌 Building a complete EDA workflow step-by-step 🎥 I’m going LIVE on YouTube — join the session FREE! https://youtube.com/live/onPpGCnWHKc?feature=share If you’re learning Python, Pandas, NumPy, Data Visualization, or Data Science, this is a great session to learn by actually working with data. 👉 Join the FREE live session and code along with me! Day 19 — Complete EDA Workflow Real Dataset | Practical Data Science | LIVE

The Little Book of Generative AI Foundations — FREE PDF Want to understand the mathematical foundations behind Generative AI without getting lost in overly complex theory? 195 Pages Intuitive mathematical explanations Covers the foundations behind modern Generative AI Great for AI, ML & Python learners Useful for building a stronger understanding of how GenAI works Get the FREE PDF: https://www.clcoding.com/2026/09/the-little-book-of-generative-ai.html

Did you know Python loops can have an else block? Most beginners think else belongs only to if statements—but Python has a neat feature: for and while loops can also use else. https://link.amazon/B0c6hVlEN How does it work? The else block executes when the loop finishes normally without encountering a break.

Python 3 Programming Specialization — Learn Python from the University of Michigan! Want to become a fluent and independent Python programmer? This specialization is designed to help you build your Python skills from the fundamentals and progress toward real programming ability. What you can expect: Learn Python 3 fundamentals Build strong programming concepts Practice writing Python programs Develop problem-solving skills Work toward becoming an independent programmer Learn from instructors at the University of Michigan 285,000+ learners have already enrolled! If you're starting your Python journey or want to strengthen your fundamentals, this is a great learning resource to explore. 👉 Enroll for free and start learning Python! https://www.clcoding.com/2025/09/python-3-programming-specialization.html

Turn Python into Maps with GeoPandas! Want to visualize India’s states using Python? GeoPandas makes geospatial data analysis and mapping surprisingly simple. With just a few lines of code, you can: Load geographic data with geopandas Plot India’s state boundaries Customize colors and edge styles Build powerful geospatial visualizations Combine maps with Pandas, NumPy & Matplotlib This is a great starting point for anyone learning Python + GIS + Data Visualization. Projects: https://link.amazon/B0eMmsruq GeoPandas = Pandas + Geospatial Data Save this post and try creating your own India map with Python! 🔗 More Python resources: CLCODING.com

Python Looks Scary… Until You Actually Start Coding! At first, Python can seem like a lot to remember—syntax, errors, functions, libraries, and endless lines of code. Projects: https://gumroad.com/products/gqrlq/ But once you understand the basics, things start to feel much simpler: ✅ Clean and readable syntax ✅ Beginner-friendly learning curve ✅ Solve real-world problems ✅ Huge community support ✅ Build automation, data projects & AI applications ✅ Plenty of room for creativity 🚀 The hardest part is often getting started. Don’t aim to memorize everything. Learn one concept, write some code, make mistakes, and keep building. And yes… sometimes coding really does feel like the cat in the second half.

14 GitHub Profiles Every Python, Data Science & AI Developer Should Follow Want to learn from real-world code, projects, libraries, research, and open-source contributions? Here are 14 GitHub profiles worth exploring if you're building skills in: Python Data Science AI & Machine Learning Deep Learning Open Source Research & Engineering Instead of only watching tutorials, explore how experienced developers and researchers actually build things on GitHub. 👉 Check out the full list here: https://www.clcoding.com/2026/09/14-best-github-profiles-every-python.html

Python Quiz of the Day Python Coding Challenge - Question with Answer (ID 280926) Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-280926.html

SEPTEMBER DATA SCIENCE BOOTCAMP — DAY 20 & 21 MACHINE LEARNING IS HERE! We’re entering one of the most exciting phases of the September Data Science Bootcamp — Machine Learning! Day 20 & Day 21 Topic: Machine Learning LIVE on YouTube: https://youtube.com/live/ncA5j_6qlXQ In these sessions, we’ll explore: • Machine Learning fundamentals • Supervised & Unsupervised Learning • Training & Testing Data • Features & Targets • Model Building • Model Evaluation • Practical Python examples Join the LIVE session and learn Machine Learning step by step with Python.

Python Coding Challenge — Day 1266 Can you predict the output of this Python code without running it? Test your Python knowledge, improve your problem-solving skills, and challenge yourself every day. 🔗 Check out Day 1266 and share your answer before checking the solution. https://www.clcoding.com/2026/09/python-coding-challenge-day-1266-what.html

Learn Python from the University of Michigan — for FREE! The Python for Everybody Specialization is a great opportunity to learn Python programming and data analysis, covering how to build programs, work with data, clean and analyze datasets, and visualize results. University of Michigan Instructor: Charles Russell Severance 2M+ learners enrolled Enroll for free If you're starting your Python journey or want to strengthen your fundamentals, this is a useful resource to explore. 👉 Enroll for free and start learning today! https://www.clcoding.com/2023/11/python-for-everybody-specialization.html

September Data Science Bootcamp — Day 22 We’re reaching the final stage: Capstone Project! In this session, we’ll bring everything together and work on an end-to-end Data Science project, covering: • Data Collection • Data Cleaning • Exploratory Data Analysis (EDA) • Model Building • Evaluation & Insights Real Data → Practice → Build → Complete And the best part? You can join the session for FREE! Learn by building a practical project and put your Python & Data Science skills into action. Join the LIVE session and complete your Data Science journey! https://youtube.com/live/WjPqBoaW4is

Harvard University: CS50's Introduction to Cybersecurity Learn the fundamentals of cybersecurity with Harvard University's CS50's Introduction to Cybersecurity. This course is designed for both technical and non-technical learners and covers essential cybersecurity concepts in a beginner-friendly way. 5 weeks Self-paced learning 2–6 hours per week Free to enroll Optional paid upgrade available No prior cybersecurity experience required A great free resource if you want to start learning cybersecurity, privacy, digital safety, and security fundamentals. Start learning for free: https://www.clcoding.com/2023/10/harvard-university-cs50s-introduction.html

Python Pattern Challenge — Day 16 Ready to sharpen your Python logic? Today’s challenge focuses on pattern printing, a simple but powerful way to practice: • Nested loops • Logic building • range() • Spaces and formatting • Problem-solving skills Try solving it yourself before checking the solution. Challenge: https://www.clcoding.com/2026/09/python-pattern-challenge-day-16.html