30-Days-Of-Python
fastbook
| 30-Days-Of-Python | fastbook | |
|---|---|---|
| 66 | 23 | |
| 31,551 | 20,749 | |
| - | 1.1% | |
| 1.8 | 3.5 | |
| 10 days ago | 19 days ago | |
| Python | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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30-Days-Of-Python
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: 30 Days of Python
- how do I compare two files in spacy?
- why can't spacy be used to compare similarity of two text files?
- Is Angela Yu’s 100 Days of Python course still worth it in 2023?
- 30 May 2023 - Daily Chat Thread
- I Actually Find Angela Yu's 100 Days of Code Bootcamp Really Unhelpful
- Caffè Italia * 17/05/23
- What is the best place to learn Python?
- does someone have time in their day to help me through last exercise of Level 3 of Day 11 of 30 Days of Python?
- how long should it take to learn Python for this goal?
fastbook
- The fastai book, published as Jupyter Notebooks
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fast.ai Book in Rust - Chapter 2 - Part 1
This chapter focuses on defining the DataLoader classes and a Bing Image Search downloader that is provided with the fastai library. We're not going to implement a Bing downloader. That is too much work for something that could be a crate on its own. Please feel free to write such a crate, though, the world could use one.
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Fastai Chapter 4 - The important parts, Part 2: Building a regression model
The book is available online here The course is accessible here
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Need help trying to run Fastai notebooks on kaggle.
Fastai Lesson 2 notebook
- Fast.ai's Practical Deep Learning for Coders Has Been Updated
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How can i as 15 years old start learning machine learning, i watched some python courses on youtube but it covered the basics and I want to go more in depth. Are there any books, online courses, etc.. I cant really pay for anything so no paid courses. Thank you
I recently read the FastAI book from O'Reilly, which is also published as a series of notebooks on GitHub here. I personally liked it because it shows how to obtain a working model trained with modern techniques without delving too much in the low-level details.
- [D] Recommendation of books to achieve a deeper knowledge of the field
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I recently got a bit of money from my grandparents to get myself a present and I wanted to get a good Python book. Which book would you recommend?
I recommend fastai-fastbook. I just started myself though it’s a coupled with tools and a way of working that may help you including being and to create and publish python packages from a jupyter notebook using nbdev
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“Perceptron” paved the way for AI 60 years too soon (2019)
The fastai book actually makes a nice comparison between the systems described in PDP and modern deep learning.
> In fact, the approach laid out in PDP is very similar to the approach used in today's neural networks.
From: https://github.com/fastai/fastbook/blob/master/01_intro.ipyn...
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Starting a career as a Python developer
I’m a fan of fast book by fastai.
What are some alternatives?
Python-for-Everyone - A step by step guide to learn Python Programming
fastai - The fastai deep learning library
materials - Bonus materials, exercises, and example projects for our Python tutorials
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Scrape-Websites-with-Python-FastAPI-Celery-NoSQL - Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.
Franklin.jl - (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
codewars.com - Issue tracker for Codewars
car-damage-detection - Detectron2 for car damage detection using custom dataset
adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala
Hands-On-Deep-Learning-Algorithms-with-Python - Hands-On Deep Learning Algorithms with Python, By Packt
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
articulated-animation - Code for Motion Representations for Articulated Animation paper