The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Python Data Science Handbook: full text in Jupyter Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
matplotlib: plotting with Python
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Statistical data visualization in Python
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
An open access book on scientific visualization using python and matplotlib
Open Machine Learning Course
Visual analysis and diagnostic tools to facilitate machine learning model selection.
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Cartopy - a cartographic python library with matplotlib support
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
A set of useful perceptually uniform colormaps for plotting scientific data
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
A Python module for time-frequency analysis
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Generate graphs and charts based on password cracking result
Matplotlib for Elixir