This book consists of a set of is tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
Beginning with general programming concepts such as loops and functions within the core Python language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of Python to build rich-media, shareable documents for scientific analysis.
| Pages : | /Paperback N/A |
| Size : | HTML and PDF Files |
| Downloads: | 68 |
| Created: | 2020-08-30 |
| License: | CC BY 4.0 |
| Author(s): | Emmanuelle Gouillart, Olav Vahtras, Gaël Varoquaux |
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This book written to provide clear and concise explanation of topics for programmers both starting to learn the Python programming language as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it.