Tutorials
Below you will find a list of available tutorials with instructions on how to install and use the tools we will be using in class.
Available Tutorials
- 01 - VSCode and Anaconda Tutorial
- 02 - Jupyter Notebook and Markdown Tutorial
- 03 - GitHub Tutorial
- 04 - PostgreSQL Tutorial
PDF versions of the tutorials are also available on GitHub: https://github.com/danilofreire/qtm151/tree/main/tutorials.
Additional Resources
Further examples
- python-postgresql-example.ipynb: A Jupyter Notebook with a PostgreSQL example
- testing-ipython.ipynb: A Jupyter Notebook for showing Markdown and code cells
- testing-anaconda.py: A Python script for testing Anaconda installation
Suggested Books
- Python for Data Analysis by Wes McKinney
- Elements of Data Science by Allen Downey
- Automate the Boring Stuff with Python by Al Sweigart
- Python for Everybody by Charles Severance
- SQL for Data Scientists by Renee M. P. Teate
Online Courses
Documentation
For any questions or issues regarding these tutorials, please open a GitHub issue, submit a pull request, or create a discussion post.
Please do not forget that, in addition to the tutorials here, the course syllabus also contains a list of recommended weekly readings and additional resources.
I hope you like the tutorials and find them useful!