Three Ways of Storing and Accessing Lots of Images in Python

Link:https://realpython.com/storing-images-in-python/

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Check Internet Speed using Python

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Python password generator 🖥

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Fetch Trending Searches using Python 🖥

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📕 Think Python, 3rd Edition: Master Python Programming with Jupyter Notebooks! 🐍⭐️

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☄️ Why This Book?
- Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects.
- Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live.
- Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute!
- From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*).
- Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.

📈 New in the 3rd Edition:
- Updated for modern Python 3 practices.
- Fully integrated Jupyter notebooks for interactive learning.
- Expanded exercises and case studies.

👩‍💻 Perfect For:
- New programmers starting with Python.
- Educators teaching coding or data science.
- Data enthusiasts who want to code smarter.

🔗 Get It Now:
👉 Web Version: https://allendowney.github.io/ThinkPython/

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🔴 Free Python course for GenAI


👩🏻‍💻 Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!


✏️ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free!

✅ If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn!

🥵 What will you learn in this course?

✅ Python concepts: conditionals, loops, data structures
✅ Working with APIs, File Management, and Regex
✅ Object-oriented programming and modular coding
✅ And a whole host of other skills that will pave your way into the world of artificial intelligence and data science.

🔔 I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them.

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🚀 80 Python Interview Questions with Answers & Code! 🚀

✅ Why this resource? 
- Covers frequently asked questions in Python interviews 

📄 Each question comes with detailed answers and ready-to-use code snippets, making it perfect for beginners and experienced developers alike. Whether you're preparing for a job interview or leveling up your Python skills, this guide has you covered! 👀 

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Applied Machine Learning in Python: a Hands-on Guide with Code 🧠

🚀 Exciting news! free, online e-book has been updated with fresh theory 📕, detailed illustrations 🎨, well-documented demos 📝, links to YouTube lectures 🎥, and interactive dashboards 📊!

Each chapter is downloadable 📥, making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! 🧑‍💻

Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html

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📚 Become a professional data scientist with these 17 resources!



1️⃣ Python libraries for machine learning

◀️ Introducing the best Python tools and packages for building ML models.

➖➖➖

2️⃣ Deep Learning Interactive Book

◀️ Learn deep learning concepts by combining text, math, code, and images.

➖➖➖

3️⃣ Anthology of Data Science Learning Resources

◀️ The best courses, books, and tools for learning data science.

➖➖➖

4️⃣ Implementing algorithms from scratch

◀️ Coding popular ML algorithms from scratch

➖➖➖

5️⃣ Machine Learning Interview Guide

◀️ Fully prepared for job interviews

➖➖➖

6️⃣ Real-world machine learning projects

◀️ Learning how to build and deploy models.

➖➖➖

7️⃣ Designing machine learning systems

◀️ How to design a scalable and stable ML system.

➖➖➖

8️⃣ Machine Learning Mathematics

◀️ Basic mathematical concepts necessary to understand machine learning.

➖➖➖

9️⃣ Introduction to Statistical Learning

◀️ Learn algorithms with practical examples.

➖➖➖

1️⃣ Machine learning with a probabilistic approach

◀️ Better understanding modeling and uncertainty with a statistical perspective.

➖➖➖

1️⃣ UBC Machine Learning

◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,

➖➖➖

1️⃣ Deep Learning with Andrew Ng

◀️ A strong start in the world of neural networks, CNNs and RNNs.

➖➖➖

1️⃣ Linear Algebra with 3Blue1Brown

◀️ Intuitive and visual teaching of linear algebra concepts.

➖➖➖

🔴 Machine Learning Course

◀️ A combination of theory and practical training to strengthen ML skills.

➖➖➖

1️⃣ Mathematical Optimization with Python

◀️ You will learn the basic concepts of optimization with Python code.

➖➖➖

1️⃣ Explainable models in machine learning

◀️ Making complex models understandable.

➖➖➖

⚫️ Data Analysis with Python

◀️ Data analysis skills using Pandas and NumPy libraries.

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This checklist covers the essentials of NumPy in one place, helping you:

- Create and initialize arrays
- Perform element-wise computations
- Stack and split arrays
- Apply linear algebra functions
- Efficiently index, slice, and manipulate arrays

…and much more!

Feel free to share if you found this useful, and let me know in the comments if I missed anything!

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🚀 Master the Transformer Architecture with PyTorch! 🧠

Dive deep into the world of Transformers with this comprehensive PyTorch implementation guide. Whether you're a seasoned ML engineer or just starting out, this resource breaks down the complexities of the Transformer model, inspired by the groundbreaking paper "Attention Is All You Need".

🔗 Check it out here:
https://www.k-a.in/pyt-transformer.html

This guide offers:

🌟 Detailed explanations of each component of the Transformer architecture.

🌟 Step-by-step code implementations in PyTorch.

🌟 Insights into the self-attention mechanism and positional encoding.

By following along, you'll gain a solid understanding of how Transformers work and how to implement them from scratch.

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🔴 Comprehensive course on "Data Mining"
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👨🏻‍💻 Carnegie University in the United States has come to offer a free #datamining course in 25 lectures to those interested in this field.

◀️ In this course, you will deal with statistical concepts and model selection methods on the one hand, and on the other hand, you will have to implement these concepts in practice and present the results.

◀️ The exercises are both combined: theory, #coding, and practical.👇


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