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.
Data Apps & Dashboards for Python. No JavaScript Required.
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
The interactive graphing library for Python :sparkles:
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🎨 Python Echarts Plotting Library
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Statistical data visualization in Python
An open access book on scientific visualization using python and matplotlib
Open Machine Learning Course
A Grammar of Graphics for Python
Visual analysis and diagnostic tools to facilitate machine learning model selection.
3D visualization and mesh analysis for science and engineering
Vizro is a low-code toolkit for building high-quality data visualization apps.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Python library that makes it easy for data scientists to create charts.
With Holoviews, your data visualizes itself.
PYthon svg GrAph plotting Library
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
An intuitive library to add plotting functionality to scikit-learn objects.
plotting in the terminal