Introductive guide to coding, data cleaning and analysis for Python 3, with many worked exercises.
Students: here on Github there are only source files, the official website is https://en.softpython.org
Teachers: All website pages are Jupyter notebooks converted to web pages using NBSphinx using template Jupman. To know how to build and modify the manual, see Jupman guide
Mirrors:
- official website: https://it.softpython.org
- replica: https://davidleoni.github.io/softpython-en
The making of this website and related courses was funded mainly by Department of Information Engineering and Computer Science (DISI), University of Trento, and also Sociology and Mathematics departments.
All the material in this website is distributed with license CC-BY 4.0 International Attribution https://creativecommons.org/licenses/by/4.0/deed.en
Basically, you can freely redistribute and modify the content, just remember to cite University of Trento and the authors