Sign up
Forgot password?
FAQ: Login

Pirnat Mike. How to Make Mistakes in Python

  • pdf file
  • size 1,80 MB
  • added by
  • info modified
Pirnat Mike. How to Make Mistakes in Python
First Edition. — O’Reilly Media, Inc., 2015. — 82 p.
Experienced programmer Mike Pirnat shares some of his most memorable blunders. By avoiding these missteps, you’ll be free to make truly significant mistakes — the ones that advance the art of programming.
Introduction
Setup
Polluting the System Python
Using the Default REPL
Silly Things
Forgetting to Return a Value
Misspellings
Mixing Up Def and Class
Style
Hungarian Notation
PEP-8 Violations
Bad Naming
Inscrutable Lambdas
Incomprehensible Comprehensions
Structure
Pathological If/Elif Blocks
Unnecessary Getters and Setters
Getting Wrapped Up in Decorators
Breaking the Law of Demeter
Overusing Private Attributes
God Objects and God Methods
  • Sign up or login using form at top of the page to download this file.
  • Sign up

See also

Details

Bader D. Python Tricks: A Buffet of Awesome Python Features

  • pdf
Dan Bader, 2017. — 299 p. — ISBN: 9781775093305; ISBN: 9781775093312. “I don’t even feel like I’ve scratched the surface of what I can do with Python” With Python Tricks: The Book you’ll discover Python’s best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. You'll get one step closer to mastering Python, so you can write...
  • 1,30 MB
  • added
  • info modified
Details

Beazley D., Jones B.K. Python Cookbook: Recipes for Mastering Python 3

  • pdf
3rd Edition. — O’Reilly Media, 2013. — 706 p. — ISBN: 1449340377, 9781449340377 If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside,...
  • 10,00 MB
  • added
  • info modified
Details

Bressert E. SciPy and NumPy: An Overview for Developers

  • pdf
O’Reilly Media, 2012. - 68 p. ISBN: 1449305466 Want to learn SciPy and NymPy quickly? Cut through the complexity of online documentation with this concise and illustrated book, and discover how easily you can get up to speed with these Python libraries. You’ll understand why they’re powerful enough for many of today’s leading scientists and engineers. Learn how to use NumPy for...
  • 6,23 MB
  • added
  • info modified
Details

Giridhar Chetan. Learning Python Design Patterns

  • pdf
2nd Edition. — Packt Publishing, 2016. — 130 p. — ISBN: 978-1-78588-803-8. Leverage the power of Python design patterns to solve real-world problems in software architecture and design. With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction...
  • 2,69 MB
  • added
  • info modified
Details

Kazil J., Jarmul K. Data Wrangling with Python: Tips and Tools to Make Your Life Easier

  • pdf
O’Reilly Media, 2016. — 508 p. — ISBN: 978-1-4919-4881-1. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don’t need to know a thing about the Python programming language...
  • 9,56 MB
  • added
  • info modified
Details

Slatkin B. Effective Python: 59 Specific Ways to Write Better Python

  • pdf
N.Y.: Addison-Wesley, 2015. — 683 p. — ISBN: 978-0134034287. The Python programming language has unique strengths and charms that can be hard to grasp. Many programmers familiar with other languages often approach Python from a limited mindset instead of embracing its full expressivity. Some programmers go too far in the other direction, overusing Python features that can cause...
  • 12,27 MB
  • added
  • info modified
Up