This project analyses the StackOverflow survey data to find trends in the usage of programming languages. It was done as part of Udacity's Data Science Nano Degree course.

Questions answered

• Which programming languages are popular in 2022?
• Who is using these languages?
• Will ‘hobby languages’ be used in the professional environment later on?

Files

• programming_languages.ipynb contains the Python notebook containing all steps and further explanation for this analysis
• output/*.dot are the outputs from the decision trees
• output/*.pdf are the rendered outputs
• trees/*.dot are readable trees manually created based on the decision trees
• trees/*.pdf are their rendered outputs

Used libraries

The following libraries are required to run the notebook:

• matplotlib
• numpy
• pandas
• scipy
• seaborn
• sklearn

Data is not included in this repository but can be downloaded from StackOverflow.