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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Toc

Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do 2. Part I: Getting to Know Python FREE CHAPTER
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

1.4 Libraries

While many books are now digital and available online, physical libraries are often still present in towns and cities. You can use a library to avoid doing something yourself, namely, buying a book. You can borrow it and read it. If it is a cookbook, you can use the recipes to make food.

A similar idea exists for programming languages and their environments. I can package together reusable data and functions, and then place them in a library. Via download or other sharing, coders can use my library to save themselves time. For example, if I built a library for math, it could contain functions like maximum, minimum, absolute_value, and is_prime. It could also include approximations to special values like π.

Once you have access to a library by installing it on your system, you need to tell your programming environment that you want to take advantage of it. Languages use different terminology for what they call the contents of libraries and how to make them available.

  • Python imports modules and packages.
  • Go imports packages.
  • JavaScript imports bindings from modules.
  • Ruby requires gems.
  • C and C++ include source header files that correspond to compiled libraries for runtime.

In languages like Python and Java, you can import specific constructs from a package, such as a class, or everything in it. With all these examples, the intent is to allow your environment to have a rich and expandable set of pre-built features that you can use within your code. Some libraries come with the core environment. You can also optionally install third-party libraries. Part III of this book looks at a broad range of frequently used Python libraries.

What happens if you import two libraries and they each have a function with the same name? If this happens, we have a naming collision and ambiguity. The solution to avoid this is to embellish the function’s name with something else, such as the library’s name. That way, you can explicitly say, “use this function from here and that other function from over there.” For example, math.sin in Python means “use the sin function from the math module.” This is the concept of a namespace.

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