Numerical Python
A Practical Techniques Approach for Industry
Price | $17.95 - $48.14
|
Rating | |
Author | Robert Johansson |
Publisher | Apress |
Published | 2015 |
Pages | 512 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1484205545 |
ISBN-13 | 9781484205549 |
Leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, SciPy, SymPy, Matplotlib, Pandas, and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more.
After reading and using Numerical Python, you will have seen examples and case studies from many areas of computing, and gained familiarity with basic computing techniques such as array-based and symbolic computing, all-around practical skills such as visualisation and numerical file I/O, general computational methods such as equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning.
- Robert Johansson (2 books)
5 5 22
Similar Books
by Robert Johansson
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solut...
Price: $40.24 | Publisher: Apress | Release: 2019
by Wes McKinney
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to ...
Price: $8.57 | Publisher: O'Reilly Media | Release: 2012
Python for Data Analysis, 2nd Edition
by William McKinney
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, IP...
Price: $24.82 | Publisher: O'Reilly Media | Release: 2017
First Semester in Numerical Analysis with Python
by Yaning Liu
The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Pyt...
Free ebook | Publisher: Self-publishing | Release: 2020
Programming for Computations - Python, 2nd Edition
by Svein Linge, Hans Petter Langtangen
This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five ...
Price: $56.03 | Free ebook | Publisher: Springer | Release: 2019
First Semester in Numerical Analysis with Python
by Yaning Liu
The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Pyt...
Free ebook | Publisher: Self-publishing | Release: 2020
Introduction to Python for Computational Science and Engineering
by Hans Fangohr
This book summarises a number of core ideas relevant to Computational Engineering and Scientific Computing using Python. The emphasis is on introducing some basic Python (programming) concepts that are relevant for numerical algorithms. The later chapters touch upon numerical libraries such as numpy and scipy each of which deserves much m...
Free ebook | Publisher: Self-publishing | Release: 2015
Learn More Python 3 the Hard Way
by Zed A. Shaw
Zed Shaw has perfected the world's best system for becoming a truly effective Python 3.x developer. Follow it and you will succeed - just like the tens of millions of programmers he's already taught. You bring the discipline, commitment, and persistence; the author supplies everything else.In Learn Python 3 the Hard Way, Zed Sha...
Price: $22.33 | Publisher: Addison-Wesley | Release: 2017