Python For Professional: A Key To Success

More 150 Chapters
Easy to Understand for beginners and Professionals
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