𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Pythonic Programming: Tips for Becoming an Idiomatic Python Programmer

✍ Scribed by Dmitry Zinoviev


Year
2021
Tongue
English
Leaves
148
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Table of Contents


Cover
Table of Contents
Acknowledgments
Preface
Introduction
About the Software
About the Notation
About the Reader
1. Documentation Tips
Tip 1. Hello, World!
Tip 2. Import This
Tip 3. Know Ownership and Licensing
Tip 4. Use Quotes of All Sorts
Tip 5. Keep Letter Case Consistent
Tip 6. Wrap Long Lines
Tip 7. Self-Document Your Code
Tip 8. Do Not Misuse Docstrings
Tip 9. Let input() Speak for Itself
Tip 10. Mark Dummy Variables
Tip 11. Distinguish Parameters and Arguments
Tip 12. Avoid Magic'' Values Tip 13. Enumerate Your Constants 2. General Tips Tip 14. Chain Comparison Operators Tip 15. Expand the Tabs Tip 16. Pickle It Tip 17. Avoid range() in Loops Tip 18. Pass It Tip 19. Try It Tip 20. Embrace Comprehensions Tip 21. Make Your Code Compact with Conditional Expressions Tip 22. Find theMissing'' Switch
Tip 23. Eschew Comprehension Expressions, If Needed
Tip 24. Use Slicing to Reverse and Split
Tip 25. sum() Almost Anything
Tip 26. Transpose with zip()
Tip 27. Discover All Characters in One Place
Tip 28. glob() the Files
Tip 29. Use Strings as Files
Tip 30. Pick to str() or to repr()
Tip 31. Remember, input() Remembers
Tip 32. Do Linear Algebra in Python
3. Data Types and Data Structures Tips
Tip 33. Construct a One-Element Tuple
Tip 34. Improve Readability with Raw Strings
Tip 35. Unpack Lists and Tuples
Tip 36. Print a List
Tip 37. Flatten That List
Tip 38. Treat Your Code as a Module
Tip 39. Let Modules Act Independently
Tip 40. Add Class Attributes
Tip 41. Serialize Objects
Tip 42. Count with defaultdict
Tip 43. Count with Counter
Tip 44. Explore How int() Supports Other Bases
Tip 45. Discover Complex Numbers
Tip 46. Rational Numbers Exist
Tip 47. Discover an Infinity
Tip 48. Carve It in Stone
Tip 49. No Trees? Use a dict()
4. Function Tips
Tip 50. Make Functions Always Return Something
Tip 51. Return Consistently
Tip 52. Let the Caller Print
Tip 53. Return Many Values
Tip 54. Understand Optional and Keyword Parameters
Tip 55. Pass Arguments Your Way
Tip 56. Omit Else After Return
Tip 57. Chain Function Calls
Tip 58. Yield, Do Not Return
Tip 59. Return and Apply Functions
Tip 60. Savvy Anonymous Functions
5. Performance Tips
Tip 61. Time It
Tip 62. Avoid Function Calls; They Are Costly
Tip 63. Build, Then Print
Tip 64. Format with Formatted Strings
Tip 65. Import Wisely
Tip 66. Import as Needed
Tip 67. Optimize Lookups
Tip 68. Cache It
Tip 69. Checkpoint, It Saves Time
Tip 70. Sort Big in Place
Tip 71. Delete Your Garbage
Tip 72. Beware of Large and Slow Ints
Tip 73. Waste Space, Save Time
Tip 74. Do Not str() a str
6. Safety Tips
Tip 75. Call That Function
Tip 76. Get the Hang of Local Variables
Tip 77. Grasp What Is Truth
Tip 78. Check for Range
Tip 79. Strip User Input
Tip 80. Let Python Close Your Files
Tip 81. Read Files Safely
Tip 82. Hide Everything
Tip 83. Use Properties
Tip 84. Compare One to Many
Tip 85. Check, Then Touch
Tip 86. Assert Conditions
Tip 87. Do Not eval(); It Is Evil
Tip 88. Parse with literal_eval()
Tip 89. Treat Variables as References
Tip 90. Isolate Exceptions
Tip 91. Compare Prefixes and Suffixes
Tip 92. Remember, There Are No Globals
Tip 93. Is Is Not What You Think It Is
Tip 94. Distinguish type() and isinstance()
Tip 95. 50,000 Is Not a Number, but 50_000 Is
Tip 96. Do Not Confuse Boolean and Bitwise Operators
Tip 97. Do Not Call Your List ``List''
Tip 98. Do Not Change That Loop Variable
Tip 99. str.split() by White Spaces
Tip 100. Get over str.split()
7. Wrapping Up
Bibliography
Index
– SYMBOLS –
– A –
– B –
– C –
– D –
– E –
– F –
– G –
– H –
– I –
– J –
– K –
– L –
– M –
– N –
– O –
– P –
– Q –
– R –
– S –
– T –
– U –
– V –
– W –
– X –
– Y –
– Z –


πŸ“œ SIMILAR VOLUMES


Pythonic Programming: Tips for Becoming
✍ Dmitry Zinoviev πŸ“‚ Library πŸ“… 2021 πŸ› Pragmatic Bookshelf 🌐 English

<span><div><p>Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and misha

Cython: a guide for Python programmers
✍ Smith, Kurt W πŸ“‚ Library πŸ“… 2015 πŸ› O'Reilly Media 🌐 English

<p>Build software that combines Python's expressivity with the performance and control of C (and C++). It's possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this pra

Cython: A Guide for Python Programmers
✍ Kurt W Smith πŸ“‚ Library πŸ“… 2015 πŸ› O'Reilly 🌐 English

Cython can yield massive performance improvements over pure Python--speedups of 3000X are easily attainable for certain patterns. With this book, Kurt Smith shows you how to use Cython to easily wrap C and C++ libraries in Python, handling all the details of memory management for you. By removing th

Cython- A guide for Python programmers
✍ Kurt W. Smith πŸ“‚ Library πŸ“… 2015 πŸ› O'Reilly 🌐 English

Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practi

Cython: A Guide for Python Programmers
✍ Kurt W. Smith πŸ“‚ Library πŸ“… 2015 πŸ› O’Reilly Media 🌐 English

<div><p>Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In thi