Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Research Data Services

Data services at UNO Libraries.

Data Visualization

Find resources for data visualization at the resource guide.

Contact Me

Profile Photo
Omer Farooq

Getting Started

There are three popular options for installing Python on your computer:

  • Download Anaconda. Anaconda comes with many useful packages including integrated development environments (Jupyter, etc.), libraries for analytics and scientific computing (NumPy, SciPy, pandas, etc.), libraries for visualization (matplotlib, bokeh, etc.), and libraries for machine learning (such as scikit-learn). 
  • Download WinPython. WinPython is similar to Anaconda; it has the added benefit that it can be run off a USB stick if you are using a public computer and can't install new programs but contains fewer packages than Anaconda.
  • Download directly from Python. Comes with standard library, but will need to install libraries such as NumPy, SciPy, matplotlib, etc. 

Python Resources

Data Manipulation & Analysis

Data Visualization

Machine Learning

Getting Started with Python