426 Open source projects that are alternatives of or similar to cracking-the-pandas-cheat-sheet

Repository to store sample python programs for python learning

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

An introductory workshop on pandas with notebooks and exercises for following along.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.

Create HTML profiling reports from pandas DataFrame objects

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

Visualize a pandas dataframe in a few clicks

Python client for Finnhub API

sidetable builds simple but useful summary tables of your data

A light-weight, flexible, and expressive pandas data validation library

Easy pipelines for pandas DataFrames.

Manage Google Spreadsheets in Pandas DataFrame with Python

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Python driver for MarketStore

Powerful product analytics for data teams, with full control over data & models.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Some useful Tips and Tricks to speed up the data analysis process in Python.

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

SciKIt-learn Pipeline in PAndas

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

A Pandas Styler class for making beautiful tables

An ongoing list of pandas quirks

Visualize and compare datasets, target values and associations, with one line of code.

Read/write Google spreadsheets using pandas DataFrames

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

Small library to read serialized protobuf(s) directly into Pandas Dataframe

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Nested Sampling post-processing and plotting

Facial Expression Recognition

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

Algorithmic trading using machine learning.

A WhatsApp Chat analyzer and statistics.

Clean APIs for data cleaning. Python implementation of R package Janitor

Collection of Databricks and Jupyter Notebooks

Taking the O out of ORM.

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

DataFrame support for scikit-learn.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

data wrangling simplicity, complete audit transparency, and at speed

Notebook of the Crash Course of Pandas 2018

Machine Learning for Spot Prices

No description or website provided.

Grafana Pandas Datasource - using Python for generating timeseries-, table-data and annotations

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

A guide to getting started with Data Science and ML.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Downloads historical EOD (end of day) prices from yahoo finance

Materials used in class when teaching Data Bootcamp at NYU Stern.

Repository for the projects needed to complete the Data Analyst Nanodegree.

Examples for gauravbytes.com

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Simple stock price analytics

Python Basics, Machine Learning and Deep Learning