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Think-Python-2E-My_solutions
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materials
- Think Python, 3rd Edition
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Collection of resources to get started on your programming journey
Python - Python.org - Official Python website with documentation and tutorials. - Codecademy Python Course - Real Python - Python tutorials and articles for all skill levels.
- I have started my Python self Learning Journey - Is one source enough?
- How to manage procrastination and lack of focus during learning?
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Other programing options?
Real Python (https://realpython.com/)
- Whats the best way to learn python for free?
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Best free sites to learn Python Courses
https://realpython.com are very good in my opinion.
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Recommended learning resources for rust
I know the official sites/books but am looking for something a bit more convenient and guided, similar to https://realpython.com/ which has really good text articles and also video courses covering specific topics.
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How do I get started with ML?
Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: https://www.codecademy.com/learn/learn-python Real Python: https://realpython.com/ Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: https://www.khanacademy.org/math/linear-algebra Calculus: https://www.khanacademy.org/math/calculus-1 Probability and Statistics: https://www.khanacademy.org/math/statistics-probability 3Blue1Brown's YouTube series on Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: https://numpy.org/doc/stable/user/quickstart.html pandas: https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/index.html matplotlib: https://matplotlib.org/stable/tutorials/index.html Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machine-learning Google's Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course Fast.ai's Practical Deep Learning for Coders course: https://course.fast.ai/ Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: https://www.tensorflow.org/tutorials PyTorch: https://pytorch.org/tutorials/ Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: https://www.kaggle.com/ Papers With Code: https://paperswithcode.com/ Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.
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FLOSSing for Lent 12/40 - Python
Real Python - A great place to learn python
Think-Python-2E-My_solutions
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A website to learn Python, like datacamp, but free?
Maybe isn't what you want, but I recommend: Think in Python
- Seeking Collaboration - K12 teacher (UK) cross porting code from Python to JavaScript and C
- Ask HN: What are the best tutorial sites for Python?
- Using VS code as a beginner to programming.
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New Programmers...
I started by reading the python tutorial https://docs.python.org/3/tutorial/ and proceeded with A. Downey book https://greenteapress.com/wp/think-python-2e/ , in both resources, I've gone through all exercises and examples. These gave me +/- a strong foundation and understanding of basic concepts. After these, I've worked on projects, and occasionally returned to Downey book and python wen, also stackoverflow helped a lot,
- Good places to start learning python?
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For those of you who got a BS in compsci from WGU, we’re you able to find a well paying job soon after graduation?
Finally - advice: The missing CS semester above. Read that, all of it. Get yourself these books: Think Python, Cracking the Coding Interview, and Head First: Design Patterns. You can pair that last one with this rather excellent youtube channel explaining them. Take the time to really read those books. Understand what they're trying to say. Those are what will set you apart in interviews - if you really have that knowledge on tap.
- Can anyone recommend me books to learn python from beginner to advanced?
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Ask HN: It's 2022. Where should I direct the youths to learn about programming?
Think Python or what used to be called “How to think like a Computer scientist” is still one of the best beginner programming books IMHO. There is an edition which is upgraded to Python 3 which you can find here - https://greenteapress.com/wp/think-python-2e/
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Learning Python
Allen B Downey - Think Python 2e
What are some alternatives?
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
missing-semester - The Missing Semester of Your CS Education 📚
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
codewars.com - Issue tracker for Codewars
sdk - The Dart SDK, including the VM, dart2js, core libraries, and more.
flexboxfroggy - A game for learning CSS flexbox 🐸
peps - Python Enhancement Proposals
futurecoder - 100% free and interactive Python course for beginners
W3Schools - W3Schools Full Offline Version
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
data-engineering-zoomcamp - Free Data Engineering course!