rougier / numpy-100Links
100 numpy exercises (with solutions)
☆13,240Updated 3 weeks ago
Alternatives and similar repositories for numpy-100
Users that are interested in numpy-100 are comparing it to the libraries listed below
Sorting:
- 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)☆2,783Updated last year
- Matplotlib tutorial for beginner☆3,077Updated last year
- Practice your pandas skills!☆11,669Updated last year
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,099Updated 4 months ago
- Numpy exercises.☆1,733Updated 2 years ago
- PRML algorithms implemented in Python☆11,658Updated 5 months ago
- Matplotlib 3.1 cheat sheet.☆2,923Updated 4 years ago
- An open access book on scientific visualization using python and matplotlib☆11,043Updated last year
- Official Matplotlib cheat sheets☆7,553Updated last week
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,430Updated last year
- Tutorial material on the scientific Python ecosystem☆3,159Updated 2 weeks ago
- Numpy beginner tutorial☆506Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,593Updated last year
- Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media☆23,648Updated last year
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,478Updated this week
- Recipes for using Python's pandas library☆6,925Updated 10 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,540Updated 5 years ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,141Updated last year
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,319Updated last year
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,233Updated 4 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- The interactive graphing library for Python☆17,725Updated this week
- Statistical data visualization in Python☆13,425Updated 2 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,532Updated last year
- Materials for my scikit-learn tutorial☆1,797Updated 2 years ago
- All Algorithms implemented in Python☆206,824Updated last week
- A collection of various deep learning architectures, models, and tips☆17,226Updated last year
- Notebooks and code for the book "Introduction to Machine Learning with Python"☆7,853Updated last year
- PyTorch Tutorial for Deep Learning Researchers☆31,700Updated 2 years ago
- PyTorch tutorials.☆8,774Updated this week