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About A Crash Course in Python For Scientists PDF
This document provides an introduction and overview to using Python for scientific computing. It recommends installing Python 2.7 along with key scientific computing packages like NumPy, SciPy, and Matplotlib. The document also recommends the IPython notebook for an interactive coding environment and provides some example code cells to demonstrate basic Python syntax and calculations.
Detailed Information
Author: | ['Jian'] |
---|---|
Publication Year: | 2020 |
Pages: | 55 |
Language: | English |
Format: | |
Price: | FREE |
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