PacktPublishing / Matplotlib-3.0-CookbookLinks
Matplotlib 3.0 Cookbook, published by Packt
☆138Updated 3 years ago
Alternatives and similar repositories for Matplotlib-3.0-Cookbook
Users that are interested in Matplotlib-3.0-Cookbook are comparing it to the libraries listed below
Sorting:
- ☆157Updated last month
- Pandas tutorial for SciPy 2019☆103Updated 2 years ago
- Numpy-Tutorial-SciPyConf-2019☆100Updated 3 years ago
- Python code and data to the manuscript "Hands-on Signal Analysis with Python"☆45Updated 4 months ago
- ☆178Updated last year
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆739Updated 4 years ago
- ☆45Updated 5 years ago
- Present your data as an effective and compelling story☆111Updated 6 years ago
- Resources for STA 633 class☆172Updated 8 years ago
- Notebooks for https://python-programming.quantecon.org☆67Updated 3 weeks ago
- Bayesian Analysis with Python by Packt☆223Updated 3 years ago
- Math with Python Cookbook, Published by Packt☆79Updated last month
- The compiled, clean (not run) Jupyter notebooks for Elegant SciPy☆112Updated 5 years ago
- scikit-learn Cookbook Second Edition, published by Packt☆107Updated 3 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆888Updated 4 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆116Updated 9 months ago
- Hands-On Data Visualization with Bokeh, published by Packt☆52Updated 3 years ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,232Updated 4 years ago
- 1st Edition of Elegant SciPy (O'Reilly Publishers)☆564Updated last year
- Pandas Cookbook Second Edition, published by Packt☆296Updated last month
- ☆75Updated 6 years ago
- Jupyter Notebooks that are part of the plotnine documentation☆136Updated 4 months ago
- A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.☆54Updated 4 years ago
- A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.☆125Updated 3 years ago
- Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such …☆131Updated last year
- The Pandas Workshop, published by Packt☆92Updated last month
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆373Updated 4 years ago
- A jupyter notebook with some stuff on the FT☆97Updated 8 years ago
- Numpy beginner tutorial☆512Updated 6 years ago