Packt Publishing, 2017. — 386 p. — ISBN: 1788291468. Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy Key Features Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more A...
O’Reilly Media, 2017 p. — 268 p. — ISBN: 978-1-491-92287-3. Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write...
Packt Publishing, 2015. — 404 p. — ISBN10: 1783984740, ISBN13: 978-1-78398-474-9. Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack. The SciPy stack is a collection of open source libraries of the powerful scripting language Python, together with its interactive shells. This environment...
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