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Pandas

Appears in 9 awesome lists

(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Open github.compandas-dev/pandas

Found in these lists

Awesome Data Analysis

Section: Useful Python Tools for Data Analysis · Powerful Python library for data analysis and manipulation with flexible data structures.

FreshScore 80

Awesome First Pull Request Opportunities

Section: Python · (label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

ActiveScore 83

Data Science Tutorials & Resources for Beginners

Section: pandas · Quick overview over the most important functions.

StaleScore 45

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · The gold standard for data analysis and manipulation in Python.

FreshScore 89

Awesome Python

Section: Data Analysis · A library providing high-performance, easy-to-use data structures and data analysis tools.

FreshScore 94

Libraries and packages

Section: Data Science · Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

FreshScore 86

Best Of Python

Section: pandas (40 · 50K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 · (👨‍💻 4.3K · 🔀 20K · 📦 2.9M):

FreshScore 88

awesome-python

Section: Data Science and Analytics · Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

FreshScore 81

Awesome Systematic Trading

Section: Fundamental libraries · | Python, Cython | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

FreshScore 89

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

In 13 listsDetails

Dask

| Python | - Parallel computing with task scheduling in Python with a Pandas like API

In 11 listsDetails

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

In 11 listsDetails

MindsDB

MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.

In 11 listsDetails

Polars

| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.

In 10 listsDetails

PyMC

Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.

In 10 listsDetails