Buch, Englisch, 605 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1163 g
Using Powerful Language Features in Real-World Applications
Buch, Englisch, 605 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1163 g
ISBN: 978-1-4842-5792-0
Verlag: Apress
Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference Q&A sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable.
Advanced Python Development is intended for developers who can already write simple programs in Python and want to understand when it’s appropriate to use new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python.
What You'll Learn - Understand asynchronous programming
- Examine developing plugin architectures
- Work with type annotations
- Review testing techniques
- Explore packaging and dependency management
Who This Book Is For
Developers at the mid to seniorlevel who already have Python experience.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: Prototyping and Environments.- Chapter 2: Testing, Checking and Linting.- Chapter 3: Packaging Scripts.- Chapter 4: From Script to Library.- Chapter 5: Alternative Interfaces.- Chapter 6: Speeding Things Up.- Chapter 7: Aggregation Process.- Chapter 8: Asynchronous Programming.- Chapter 9: Asynchronous Databases.- Chapter 10: Viewing the Data.- Chapter 11: Fault Tolerance.- Chapter 12: Callbacks and Data Analysis.