Hands on Programming with Python
A core digital skill.
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Error handling & Testing
Error handling & Testing
Testing techniques
Unit testing
Exceptions
Debugging
Not yet as a Jupyter notebookPython modules (Spanish)
| # | Name | Jupyter Notebook description | Link(s) |
|---|---|---|---|
| 1 | pandas |
Data management with pandas | Jupyter notebook |
| 2 | numpy |
Data analysis with numpy | Jupyter notebook |
| 3 | scikit-learn |
Data analysis (machine learning) with scikit-learn | Jupyter notebook |
| 4 | igraph |
Graph analysis with igraph | Jupyter notebook |
| 5 | matplotlib |
Data visualization with matplotlib | Jupyter notebook |
| 6 | keras |
Data analysis (deep learning) with keras (15 notebooks) | Jupyter notebooks (15) |
Publications
In order to provide a more readable version of the contents, "Hands on Programming with Python", a book in two different formats has been published.
Paperback
Paperback
21 chapters
Extra content: theory (functions, objects, files and error handling)
+200 solved exercices and examples
Kindle
Kindle
21 chapters
Extra content: theory (functions, objects, files and error handling)
+200 solved exercices and examples
Image credit:
Contact
Main contributor: Prof. Dr. Jose María Alvarez Rodríguez
Carlos III University of Madrid
Avd. de la Universidad, 30, 28911, Leganés, Madrid, Spain
For any contribution or comment, feel free to add issues in the Github repository.