Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.

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250+ Python DSA Coding Practice Test [Questions & Answers]

Python DSA Coding Interview Questions and Answers (Solution Code with Detailed Explanations) | Coding Practice Exercises…

🏷 Category: development
🌍 Language: English (US)
👥 Students: 110 students
⭐️ Rating: 0.0/5.0 (0 reviews)
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Python Courses & Resources
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🔅 Advanced Python: Practical Database Examples

📝 Level up as a Python developer working with databases in this advanced, skills-based course.

🌐 Author: Kathryn Hodge
🔰 Level: Advanced
Duration: 1h 48m

📋 Topics: Database Development, Python
Advanced Python: Practical Database Examples.zip
253.9 MB
Advanced Python: Practical Database Examples 🐍💾

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Machine Learning 🤖

This comprehensive course covers the fundamentals and practical aspects of machine learning, including supervised and unsupervised learning, regression, classification, clustering, model evaluation, Binary trees, Decision trees and more. 🧠

🎬 Free Video Course
Duration: Multi-hour series (extensive coverage)
🏃‍♂️ Self Paced
👨‍🏫 Created by: Caleb Curry
🔗 Course Link
https://learndevs.com/watch/youtube/PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w

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🔥 Free IT Cert Resources – Grab Them While They're Hot!

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🪜 Online FREE Course →
https://bit.ly/4vHFJSz
☁️ FREE AI Materials →
https://bit.ly/4wdu7X6
📊 Cloud Study Guide →
https://bit.ly/4y0HyeW
🧠 Free Mock Exam →
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Tag a friend who's also on this journey – Get certified together! 💪

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🔰 Python in one hour

In the video, the main topics of Python are briefly and clearly explained: from basic syntax to functions and working with files 🐍📚

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🚀 Looking for a portfolio-ready NLP project?

I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.

You’ll see how far classical NLP can go with:

📝 Bag-of-Words and TF-IDF
🔤 Character n-grams
📊 Model comparison
🧩 Ensemble stacking

It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:

🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/
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Forwarded from Github Top Repositories
💼 20 GitHub Repositories to Help You Get Hired

1. coding-interview-university
A complete self-study roadmap originally created to prepare for Google software engineering interviews.

2. awesome-interview-questions
A curated collection of technical interview questions across dozens of programming languages and technologies.

3. system-design-primer
One of the best resources for mastering system design interviews at top tech companies.

4. build-your-own-x
Learn by building your own database, operating system, Git, Docker, Redis, and dozens of other technologies.

5. developer-roadmap
Interactive roadmaps showing exactly what to learn for frontend, backend, DevOps, AI, cybersecurity, and more.

6. project-based-learning
Learn programming by building real projects instead of following endless tutorials.

7. app-ideas
Hundreds of project ideas ranging from beginner to advanced to strengthen your portfolio.

8. public-apis
A massive collection of free APIs you can use to build real-world portfolio projects.

9. free-programming-books
Thousands of free programming books, courses, and learning resources in multiple languages.

10. first-contributions
A step-by-step guide that teaches you how to make your first pull request.

11. frontend-practice
Practice rebuilding real company websites to improve your frontend development skills.

12. Frontend Mentor Challenges
Realistic UI challenges that help you build an employer-ready frontend portfolio.

13. awesome-resume
A professional, ATS-friendly resume template widely used by software engineers.

14. The Algorithms
A huge collection of algorithms and data structures implemented in dozens of programming languages.

15. Tech Interview Handbook
Covers coding interviews, behavioral interviews, resume tips, salary negotiation, and more.

16. awesome
The original Awesome list containing thousands of carefully curated developer resources.

17. realworld
Build the same production-grade application in different frameworks to learn industry architecture.

18. awesome-for-beginners
Find beginner-friendly open source projects to make your first GitHub contributions.

19. awesome-cheatsheets
A collection of programming and DevOps cheat sheets for quick reference during development.

20. Awesome Job Boards
A curated collection of the best tech job boards, including remote, startup, and developer-focused hiring platforms.

💻 Master these repositories, build projects from them, contribute to open source, and you'll have both the skills and portfolio that recruiters actually look for.

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