<p>An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library</p> <p><b>Overview</b></p> <ul> <li>Perform high performance calculations with clean and efficient NumPy code</li> <li>Analyze large data sets with statistical functi
NumPy beginner's guide
โ Scribed by Idris, Ivan
- Publisher
- Packt Pub
- Year
- 2013
- Tongue
- English
- Leaves
- 310
- Edition
- 2nd edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
NumPy quick start -- Beginning with NumPy fundementals -- Get in terms with commonly used functions -- Convenience functions for your convenience -- Working with matrices and ufuncs -- Move further with NumPy modules -- Peeking into special rountines -- Assure quality with testing -- Plotting with Matplotlib -- When NumPy is not enough - SciPy and beyond -- Playing with Pygame.
Num Python beginner's guide.
โฆ Subjects
Mathematical analysis;Mathematics--Data processing;Mathematics / Data processing;Python;Python (Computer program language);Mathematics -- Data processing
๐ SIMILAR VOLUMES
<p>An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library</p> <p><b>Overview</b></p> <ul> <li>Perform high performance calculations with clean and efficient NumPy code</li> <li>Analyze large data sets with statistical functi
Time for action -- using the datetime64 data typeWeekly summary; Time for action -- summarizing data; Average True Range; Time for action -- calculating the average true range; Simple Moving Average; Time for action -- computing the simple moving average; Exponential Moving Average; Time for action
The book is written in beginner's guide style with each aspect of NumPy demonstrated with real world examples and required screenshots.If you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python, this book is for y
An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real world examples The first and only book that truly explores NumPy practically Perform high performance calculations with clean and efficient NumPy code Analyze large data sets wi