Why should you learn to write programs? -- Variables, expressions, and statements -- Conditional execution -- Functions -- Iteration -- Strings -- Files -- Lists -- Dictionaries -- Tuples -- Regular expressions -- Networked programs -- Using Web Services -- Using databases and Structured Query Langu
Python for Informatics
β Scribed by Charles Severance
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- English
- Leaves
- 220
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- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Ann Arbor, Michigan: CreateSpace Independent Publishing Platform, 2013. β 248 p.<div class="bb-sep"></div>This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyo
<p>Build software that combines Python's expressivity with the performance and control of C (and C++). It's possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this pra
Cython can yield massive performance improvements over pure Python--speedups of 3000X are easily attainable for certain patterns. With this book, Kurt Smith shows you how to use Cython to easily wrap C and C++ libraries in Python, handling all the details of memory management for you. By removing th
Build software that combines Pythonβs expressivity with the performance and control of C (and C++). Itβs possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practi