You're reading from Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835466384

Length 818 pages

Edition 3rd Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Structures and Algorithms

Author (1):

Steven F. Lott

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1 Numbers, Strings, and Tuples FREE CHAPTER

2. Chapter 2 Statements and Syntax

3. Chapter 3 Function Definitions

4. Chapter 4 Built-In Data Structures Part 1: Lists and Sets

5. Chapter 5 Built-In Data Structures Part 2: Dictionaries

6. Chapter 6 User Inputs and Outputs

7. Chapter 7 Basics of Classes and Objects

8. Chapter 8 More Advanced Class Design

9. Chapter 9 Functional Programming Features

10. Chapter 10 Working with Type Matching and Annotations

11. Chapter 11 Input/Output, Physical Format, and Logical Layout

12. Chapter 12 Graphics and Visualization with Jupyter Lab

13. Chapter 13 Application Integration: Configuration

14. Chapter 14 Application Integration: Combination

15. Chapter 15 Testing

16. Chapter 16 Dependencies and Virtual Environments

17. Chapter 17 Documentation and Style

18. Other Books You May Enjoy

19. Index

16.5 Using Anaconda and the conda tool

There are some limitations on the kinds of packages the PIP tool can install. The most notable limitation involves projects that involve extension modules written in a compiled language like Rust or C. The variations among platforms — including hardware and OS — can make it difficult to distribute all the required variants of the package’s binary files.

In a Linux environment, where compilers like GNU CC are readily available, a package with an extension module can include source code. The PIP tool can use the compiler to build the necessary binaries.

For macOS and Windows, additional tools are required to create binaries. Free compilers are not as readily available as they are in a Linux environment, presenting a potential problem.

Conda solves the problems with binaries by making a wide selection of pre-built binaries available in their repository. It also makes sure a compiler is available...