2109 Open source projects that are alternatives of or similar to Gspread Pandas

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.

Accumulated knowledge and experience in the field of Data Engineering

ISP Data Pollution to Protect Private Browsing History with Obfuscation

Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Always know what to expect from your data.

Tutorial: Web scraping in Python with Beautiful Soup

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

repo with challenge material for riceteacatpanda (2020)

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Create HTML profiling reports from pandas DataFrame objects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Introduction to pandas Treehouse course

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Data Polygamy is a topology-based framework that allows users to query for statistically significant relationships between spatio-temporal data sets.

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

🌍 A curated list of APIs, open data and ML/AI projects on climate change

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.

locopy: Loading/Unloading to Redshift and Snowflake using Python.

OpenRefine is a free, open source power tool for working with messy data and improving it

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

A simple Spark-powered ETL framework that just works 🍺

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

Data Science Best Practices with pandas

Google Sheets API (v4) wrapper for Node.js

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Python Cheat Sheet NumPy, Matplotlib

Building the Coffee Quality Institute Database

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

Explore and analyse your Home Assistant data

🐍 Quick reference guide to common patterns & functions in PySpark.

A Clojure dataframe library that runs on Spark

Read/write Google spreadsheets using pandas DataFrames

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

This repository provides everything you need to get started with Python for (social science) research.

An automatic ML model optimization tool.

Deutsche Boerse's Financial Trading Public Data Set

General Assembly's 2015 Data Science course in Washington, DC

A tool for building feature stores.

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

A toolbox for processing and analysing air traffic data

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Add-on for Google Sheets that allows sheets to be exported as JSON or XML.

Metric collection, data testing and monitoring for SQL accessible data

🐍 Learn Python and Pandas from the ground up

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Extract data from a wide range of Internet sources into a pandas DataFrame.

A validation library for Pandas data frames using user-friendly schemas

The premier open source Data Quality solution

📊 Financial markets data library implemented in go.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Visualizer for pandas data structures

This is Andrew NG Coursera Handwritten Notes.