Setting up your computer for the workshop¶
Installation instructions¶
Install Anaconda Python¶
- Download and install from this link. Choose the Python 3.5 64-bit version.
- Please refer to the detailed instructions if you are not sure of any step
- Check your installation by launching Anaconda Navigator - if you see the screen below, you should be all set
Navigator
Install git¶
- Mac Download and install from this link
- Windows - Download and install Git for Windows
Download Course Materials¶
The code notebooks and data for this workshop can be cloned from the course Github repository. Basically, you open a terminal (or Git Bash) and enter
git clone https://github.com/cliburn/cfar-data-workshop-2016.git
in your home directory.
If you cannot get the above line of code to work, you can download the zipped files. However, it is much better to clone the Github repository because it is easy to keep that up-to-date if we make late changes to the course materials.
Optional installation¶
Integrated Development Environments (IDE)¶
For those of you familiar with RStudio, Rodeo is a clone for
Python. You can safely ignore this if you have no idea what RStudio
is.
Glossary¶
- Anaconda A Python distribution that bundles multiple libraries for easy installation
- Navigator A Graphical User Interface for launching and managing Anaconda/Python programs
- Jupyter A browser-based notebook for multi-language programming
- Python A general-purpose programming language widely used for data analysis
- R A statistical programming language widely used in data analysis
- Terminal An application that lets you enter text commands to the Unix shell
- Unix shell A command line interpreter that accepts text commands to execute various programs
- git A version control system used to archive and share (mainly) code.
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