Programmers_guide_to_Python
Pytorch
Programmers_guide_to_Python | Pytorch | |
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11 | 340 | |
173 | 78,205 | |
- | 1.4% | |
4.7 | 10.0 | |
over 2 years ago | about 17 hours ago | |
Python | ||
Creative Commons Attribution Share Alike 4.0 | GNU General Public License v3.0 or later |
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Programmers_guide_to_Python
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Programmer's guide to Python website
Hello everyone, I have created a website for my ebook Programmer's guide to Python. On github it wasn't easy to read due to the size, so I thought a website could be more convenient. I've considered topics which are important and which should cover most grounds in Python programming and more. My goal was to create a concise and easy to follow guide to Python programming. I am looking forward to add more content like testing and some standard libraries that we use most often. Let me know your thoughts, suggestions or improvements regarding the website or contents, anything that needs to be added or something else. The current plain learning path will stay forever free and will have no ads, the interactive mode is currently slowly under works, and so I am not much sure about it yet. Hope you find it useful, you can access the website here.
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Just bought Angela Yuâs 100 day Python course!
You can also use my book to fine tune your learning. It's free and I keep updating it, so I hope it helps.
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Any of the current programming/coding bundles worth buying if the intend is to learn Python ( I have very minor previous programming experience)
Try my book once you're done with the basics.
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[Repost] Learn enough python with Programmer's guide to Python
Hello everyone, I have written a e-book named "Programmer's guide to Python", this is the second time I am making a post about it. It is designed to learn python fast by going through concepts with examples, with easy language and straightforward explanations. Only prerequisite is that you should have some basic exposure to programming. It covers most of the hot/necessary topics and more. It's a free book that you access right here on my github. I have recently worked alot and have updated alot inside out, fixing mistakes/errors, adding topics. I think the book is ready to ~90%, probably more, I'll drop the pdf version once ready. The thing is I don't have any reviewer to review it yet, so if anyone with enough experience who would like to collaborate, fix somethings, review or anything let me know, I'll add you to the contribution/reviewer list or maybe as a co-author if you put up enough work. Finally if you'll be reading it, I would like to know your thoughts/suggestions on improvements and maybe something you'd liked to be added in future. That's it, I hope this book helps you in learning python đ.
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Old guy programmer here, need to brush up on Python quickly!
You can try reading my book, let me know your thoughts.
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Programmer's guide to Python, learn almost everything in python.
Hello everyone, I hope you're doing fine, I recently wrote Programmer's guide to Python, its a book to learn python fast. If you have prior programming knowledge and are looking to learn python, this will help you kickstart your learning. If you have previously taken basic python courses and want to solidify your learning, this is for you too. It's short, fast and free. It is designed to cover all the important aspects of python, just good enough get you building stuff with Python. I hope it benefits you in learning python. Let me know your thoughts.
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Just finished a beginners python course, what next?
Well you can use my Programmer's guide to Python to solidify your learning. I recently wrote it, it's fast and short way to learn python. I also have ml recommendations which I have curated, they are all almost free and not affiliated. Take a look here, happy learning.
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Need Help finding a beginner friendly course for Python that provides an E-certificate
You can find some resources here they are all almost free and not affiliated. I recently wrote Programmer's guide to Python which is short and fast way to learn python, also free. Do take a look.
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I've learned a little bit of python. Now what?
You can use my Programmer's guide to Python to strengthen your python knowledge. Please take a look.
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Best resources for learning Python
Programmer's guide to Python
Pytorch
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Clasificador de imĂĄgenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbotđŁđ¸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call âprimalâ, is associated with a âdirectionâ tensor, which we call âtangentâ, the resultant new tensor object is called a âdual tensorâ for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
Python Cheatsheet - All-inclusive Python cheatsheet
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
python-cookbook - Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
flax - Flax is a neural network library for JAX that is designed for flexibility.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! â¤ď¸ [Moved to: https://github.com/tinygrad/tinygrad]
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
tensorflow - An Open Source Machine Learning Framework for Everyone
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ROCm - AMD ROCm⢠Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]