Repository Index

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.

• python
• machine-learning
• deep-learning
• data-science

The interactive graphing library for Python :sparkles:

• python
• d3
• plotly
• plotlyjs

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook

the portable Python dataframe library

• python
• impala
• pandas
• database

Koalas: pandas API on Apache Spark

• spark
• pandas
• pydata
• dataframe

Lightweight and extensible compatibility layer between dataframe libraries!

• cudf
• ibis
• pandas
• polars

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

• spark
• pyspark
• data-wrangling
• bigdata

Jupyter magics and kernels for working with remote Spark clusters

• spark
• kernel
• cluster
• livy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

• python
• pandas
• spark
• data

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

• pandas
• pandas-summary
• dataframes
• data-science

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

• data-science
• data-processing
• python
• apache-spark