IPython Interactive Computing and Visualization Cookbook, 2nd Edition 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.
The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The 2nd part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
Table of contents
- A Tour of Interactive Computing with Jupyter and IPython
- Best practices in Interactive Computing
- Mastering the Jupyter Notebook
- Profiling and Optimization
- High-Performance Computing
- Data Visualization
- Statistical Data Analysis
- Machine Learning
- Numerical Optimization
- Signal Processing
- Image and Audio Processing
- Deterministic Dynamical Systems
- Stochastic Dynamical Systems
- Graphs, Geometry, and Geographic Information Systems
- Symbolic and Numerical Mathematics
| Pages : | 548 |
| Size : | |
| Downloads: | 199 |
| Created: | 2022-02-03 |
| License: | CC BY-NC-ND |
| 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 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 new chapters, thus expanding the introduction to pr
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonl
This book is an introduction to physical modeling using a computational approach. It is organized in three parts:
This book will teach you how to make graphical computer games in the Python programming language using the Pygame library.
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.