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
Repository Index
47,133 repositories indexed
1–16 of 16 · Most stars
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
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
Open Machine Learning Course
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Java dataframe and visualization library
Python library that makes it easy for data scientists to create charts.
An intuitive library to add plotting functionality to scikit-learn objects.
Visualize large time series data with plotly.py
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.