Pinned Repositories
athenacli
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
challenges
PyBites Code Challenges
code
ActiveState Code Recipes
docker-python-nodejs
Python (latest) with Node.js 10.x docker image
eve-building-restful-mongodb-backed-apis-course
Course materials and handouts for EVE: Building RESTful MongoDB-backed APIs course
github-demo
A simple git repository to show the basic git workflow
LeadQualifier
:dart: Qualify sales leads with machine learning
mongodb-for-python-developers
MongoDB for Python developers course handouts from Talk Python Training
pdpark's Repositories
pdpark/mongodb-for-python-developers
MongoDB for Python developers course handouts from Talk Python Training
pdpark/athenacli
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.
pdpark/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
pdpark/challenges
PyBites Code Challenges
pdpark/code
ActiveState Code Recipes
pdpark/docker-python-nodejs
Python (latest) with Node.js 10.x docker image
pdpark/eve-building-restful-mongodb-backed-apis-course
Course materials and handouts for EVE: Building RESTful MongoDB-backed APIs course
pdpark/github-demo
A simple git repository to show the basic git workflow
pdpark/LeadQualifier
:dart: Qualify sales leads with machine learning
pdpark/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pdpark/pdfrw
pdfrw is a pure Python library that reads and writes PDFs
pdpark/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
pdpark/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pdpark/sample_projects
Code from some of my school and side projects
pdpark/td-client-python
Treasure Data API library for Python
pdpark/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition