ds-quickstart
Data science quickstart
Getting going with the right tools to help you get the job done.
Intro
Overcome the barriers to just getting started.
Broken down into a series of projects, each for a different tool.
Each project will contain the following.
- Links to source / documentations
- Environment setup instructions
- "hello world"
- Just the basics - examples of most common actions
- Cheat sheet - a one-page reference for important commands
Assumed starting point: osx (High Sierra) Will use Homebrew package manager for installations:
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"Sections
Planned & completed projects
- Shell
- vim
- Git(hub)
- Python
- Pandas
- scikit-learn
- Jupyter
- Scala
- sbt
- maven
- gradle
- groovy
- Spark
- SQL
- MLlib
- zeppelin (databricks)
- regex
- Documentation
- Markdown
- Latex
- Dot