Guide To Numpy PDF Download
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| Author | : Travis Oliphant |
| Publisher | : CreateSpace |
| Total Pages | : 364 |
| Release | : 2015-09-15 |
| Genre | : |
| ISBN | : 9781517300074 |
Download Guide to NumPy Book in PDF, ePub and Kindle
This is the second edition of Travis Oliphant's A Guide to NumPy originally published electronically in 2006. It is designed to be a reference that can be used by practitioners who are familiar with Python but want to learn more about NumPy and related tools. In this updated edition, new perspectives are shared as well as descriptions of new distributed processing tools in the ecosystem, and how Numba can be used to compile code using NumPy arrays. Travis Oliphant is the co-founder and CEO of Continuum Analytics. Continuum Analytics develops Anaconda, the leading modern open source analytics platform powered by Python. Travis, who is a passionate advocate of open source technology, has a Ph.D. from Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Since 1997, he has worked extensively with Python for computational and data science. He was the primary creator of the NumPy package and founding contributor to the SciPy package. He was also a co-founder and past board member of NumFOCUS, a non-profit for reproducible and accessible science that supports the PyData stack. He also served on the board of the Python Software Foundation.
| Author | : Travis E. Oliphant |
| Publisher | : |
| Total Pages | : 261 |
| Release | : 2006 |
| Genre | : Python (Computer program language) |
| ISBN | : |
Download A Guide to NumPy Book in PDF, ePub and Kindle
| Author | : Ivan Idris |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 623 |
| Release | : 2013-04-25 |
| Genre | : Computers |
| ISBN | : 1782166092 |
Download NumPy Beginner's Guide (Second Edition) Book in PDF, ePub and Kindle
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 you. No prior knowledge of NumPy is required.
| Author | : Eli Bressert |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 68 |
| Release | : 2012 |
| Genre | : Computers |
| ISBN | : 1449305466 |
Download SciPy and NumPy Book in PDF, ePub and Kindle
"Optimizing and boosting your Python programming"--Cover.
| Author | : Ivan Idris |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 254 |
| Release | : 2014-06-13 |
| Genre | : Computers |
| ISBN | : 1783983914 |
Download Learning NumPy Array Book in PDF, ePub and Kindle
A step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.
| Author | : Wes McKinney |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 676 |
| Release | : 2017-09-25 |
| Genre | : Computers |
| ISBN | : 1491957611 |
Download Python for Data Analysis Book in PDF, ePub and Kindle
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
| Author | : Jake VanderPlas |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 743 |
| Release | : 2016-11-21 |
| Genre | : Computers |
| ISBN | : 1491912138 |
Download Python Data Science Handbook Book in PDF, ePub and Kindle
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
| Author | : Ivan Idris |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 357 |
| Release | : 2012-10-25 |
| Genre | : Computers |
| ISBN | : 1849518939 |
Download NumPy Cookbook Book in PDF, ePub and Kindle
Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with basic Numpy skills to the next level through some practical recipes.
| Author | : Svein Linge |
| Publisher | : Springer |
| Total Pages | : 244 |
| Release | : 2016-07-25 |
| Genre | : Computers |
| ISBN | : 3319324284 |
Download Programming for Computations - Python Book in PDF, ePub and Kindle
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
| Author | : Cyrille Rossant |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 899 |
| Release | : 2014-09-25 |
| Genre | : Computers |
| ISBN | : 178328482X |
Download IPython Interactive Computing and Visualization Cookbook Book in PDF, ePub and Kindle
Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
