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NumPy Essentials

You're reading from  NumPy Essentials

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781784393670
Pages 156 pages
Edition 1st Edition
Languages
Authors (3):
Leo (Liang-Huan) Chin Leo (Liang-Huan) Chin
Profile icon Leo (Liang-Huan) Chin
Tanmay Dutta Tanmay Dutta
Profile icon Tanmay Dutta
Shane Holloway Shane Holloway
Profile icon Shane Holloway
View More author details

Table of Contents (16) Chapters

NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to NumPy 2. The NumPy ndarray Object 3. Using NumPy Arrays 4. NumPy Core and Libs Submodules 5. Linear Algebra in NumPy 6. Fourier Analysis in NumPy 7. Building and Distributing NumPy Code 8. Speeding Up NumPy with Cython 9. Introduction to the NumPy C-API 10. Further Reading

Testing your package


It is very important that the package you are building should work/install without any problem on a user's computer. Hence, you should spend time testing the package. The general idea behind testing installation is to create a virtualenv and try to install the package or use another system altogether. Any error encountered at this stage should be removed and the author should try to make sure that the exceptions are easier to follow. Exceptions should also try to provide the solution. Common mistakes at this stage would be:

  • Assumptions about preinstalled modules and libraries.
  • Developers may forget to include dependencies in the setup file. This mistake will be caught if you use a new virtualenv to test the installer.
  • Permissions and elevated rights requirements.
  • Some users may have read-only access to the computer. This could be easily overlooked as most developers do not have this case in their own machines. This problem should not occur if the provider of the package...
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