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projects-on-data-cleaning-and-manipulation

This repository contains projects I have worked on for Data Cleaning and Manipulation in Python.

protobuf

Protocol Buffers - Google's data interchange format

py-mysql-tracer

A MySQL client to run queries, write execution reports and export results

pybay_2019-pandas_tutorial

PyBay 2019 Pandas Tutorial

pycodestyle

Simple Python style checker in one Python file

pycon-2019-tutorial

Data Science Best Practices with pandas

pydata-berlin2017-pandas-and-dask-from-the-inside

pydata-imbalanced

Notebook for the talk at PyData NYC 2019 on Dealing With Imbalanced Classes in Machine Learning

pydatadc_2018-tidy

PyData 2018 tutorial for tidying data

pydy-tutorial-human-standing

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

pyjion

Pyjion - A JIT for Python based upon CoreCLR

pylint

It's not just a linter that annoys you!

pyreadr

Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.

python

All Algorithms implemented in Python

python-data-cleaning-cookbook

Python Data Cleaning Cookbook, published by Packt

python-getting-started

Getting Started with Python on Heroku.

python-pandas-exercise

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

python_coding

Programs related to Data Structures and Interview Problems

python_coding1

python_practice

its all about python programming

pythondotorg

Source code for python.org

pytorch-chatbot

Pytorch implementation of "A Neural Conversational Agent" https://arxiv.org/pdf/1506.05869.pdf

r-bridge-tutorial-notebooks

Jupyter notebooks demonstrating setup and use of the R-ArcGIS bridge. The repo includes datasets required to run the Jupyter notebooks.

rdbms_2_nosql

Course Material for "SQL, NoSQL, Big Data and Hadoop" course.

recommendation_engines

Movie Recommendations

recommendation_systems

recommenders

Best Practices on Recommendation Systems

recommendersystems_pydata_2016

robovidhya