asfakianakis

ruptures

ruptures: change point detection in Python

reactpy

It's React, but in Python

presto

The official home of the Presto distributed SQL query engine for big data

bytewax

Python Stream Processing

great_expectations

Always know what to expect from your data.

zsh-autosuggestions

Fish-like autosuggestions for zsh

dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

dynamicio

A pandas I/O wrapper.

kotlin-jupyter

Kotlin kernel for Jupyter/IPython

cheatsheet-kubernetes-A4

:book: Kubernetes CheatSheets In A4

spotless

Keep your code spotless

sqlglot

Python SQL Parser and Transpiler

python-lenses

A python lens library for manipulating deeply nested immutable structures

lenses-python

Python library for Lenses.io / Kafka platform engineers

wtfpython

What the f*ck Python? 😱

skope-rules

machine learning with logical rules in Python

hydra

Hydra is a framework for elegantly configuring complex applications

lime

Lime: Explaining the predictions of any machine learning classifier

shap

A game theoretic approach to explain the output of any machine learning model.

perfplot

:chart_with_upwards_trend: Performance analysis for Python snippets

gluonts

Probabilistic time series modeling in Python

list-of-python-api-wrappers

List of Python API Wrappers and Libraries

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

sktime

A unified framework for machine learning with time series

data-science-ipython-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.

matrix-factorization-in-python

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

SPIN

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

modin

Modin: Scale your Pandas workflows by changing a single line of code