Python® Notes for Professionals book

Python® Notes for Professionals book

Python® Notes

The Python® Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA. See credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise specified

814 pages, published on April 2018

Chapters

1. Getting started with Python Language
2. Python Data Types
3. Indentation
4. Comments and Documentation
5. Date and Time
6. Date Formatting
7. Enum
8. Set
9. Simple Mathematical Operators
10. Bitwise Operators
11. Boolean Operators
12. Operator Precedence
13. Variable Scope and Binding
14. Conditionals
15. Comparisons
16. Loops
17. Arrays
18. Multidimensional arrays
19. Dictionary
20. List
21. List comprehensions
22. List slicing (selecting parts of lists)
23. groupby()
24. Linked lists
25. Linked List Node
26. Filter
27. Heapq
28. Tuple
29. Basic Input and Output
30. Files & Folders I/O
31. os.path
32. Iterables and Iterators
33. Functions
34. Defining functions with list arguments
35. Functional Programming in Python
36. Partial functions
37. Decorators
38. Classes
39. Metaclasses
40. String Formatting
41. String Methods
42. Using loops within functions
43. Importing modules
44. Difference between Module and Package
45. Math Module
46. Complex math
47. Collections module
48. Operator module
49. JSON Module
50. Sqlite3 Module
51. The os Module
52. The locale Module
53. Itertools Module
54. Asyncio Module
55. Random module
56. Functools Module
57. The dis module
58. The base64 Module
59. Queue Module
60. Deque Module
61. Webbrowser Module
62. tkinter
63. pyautogui module
64. Indexing and Slicing
65. Plotting with Matplotlib
66. graph-tool
67. Generators
68. Reduce
69. Map Function
70. Exponentiation
71. Searching
72. Sorting, Minimum and Maximum
73. Counting
74. The Print Function
75. Regular Expressions (Regex)
76. Copying data
77. Context Managers (“with” Statement)
78. The __name__ special variable
79. Checking Path Existence and Permissions
80. Creating Python packages
81. Usage of "pip" module: PyPI Package Manager
82. pip: PyPI Package Manager
83. Parsing Command Line arguments
84. Subprocess Library
85. setup.py
86. Recursion
87. Type Hints
88. Exceptions
89. Raise Custom Errors / Exceptions
90. Commonwealth Exceptions
91. urllib
92. Web scraping with Python
93. HTML Parsing
94. Manipulating XML
95. Python Requests Post
96. Distribution
97. Property Objects
98. Overloading
99. Polymorphism
100. Method Overriding
101. User-Defined Methods
102. String representations of class instances: __str__ and __repr__ methods
103. Debugging
104. Reading and Writing CSV
105. Writing to CSV from String or List
106. Dynamic code execution with `exec` and `eval`
107. PyInstaller - Distributing Python Code
108. Data Visualization with Python
109. The Interpreter (Command Line Console)