This book contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.
It is for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
| Pages : | 548 pages |
| Size : | HTML |
| Downloads: | 61 |
| Created: | 2020-08-29 |
| License: | CC BY-NC-ND 3.0 US |
| Author(s): | Cyrille Rossant |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about IPython Interactive Computing and Visualization Cookbook
This is a simple book to learn Python programming language, it is for the programmers who are new to Python.
This is the lecture notes for a course on Python and coding theory designed for students who have little or no programmig experience. You will learn some of the Python computer programming language and selected topics in coding theory.
Professional developers know the many benefits of writing application code that's clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level.
Scripting and automation tasks often need to extract particular portions of text from inpu..., download free Python tutorial in PDF (71 pages) created by .
Download Python PDF Tutorial for free, it consisting of 20 chapters and 74 pages covering all the most important Python concepts. This tutorial is intended for beginner programmers, and we recommend you to go through all the chapters, to get the most out of it as possible.