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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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
- data-analysis
- pandas
- tableau
- tableau-alternative
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
- matplotlib
- jupyter-notebook
- python
- generative-art
Statistical data visualization in Python
An open access book on scientific visualization using python and matplotlib
- python
- matplotlib
- dataviz
- scientific-publications
Open Machine Learning Course
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
- python
- tikz
- matplotlib
- pgfplots
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
- python
- iterm2
- matplotlib
- plot
A set of useful perceptually uniform colormaps for plotting scientific data
- holoviz
- colorcet
- colormaps
- matplotlib
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
A python package for animating plots build on matplotlib.
- plotting
- animation
- data-visualization
- python
A Python module for time-frequency analysis
- python
- scipy
- signal-processing
- time-frequency-analysis
Generate graphs and charts based on password cracking result
- cracking
- hashcat
- matplotlib
- password
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette