List of Popular Python Commands

Introduction to Python

 today’s you get knowledge about List of Python Commands .Python is a powerful programming language that is widely used in many industries today. Python can be used for web development, scientific computing, artificial intelligence, and even video games. Python is easy to learn for beginners and has many modules and libraries that allow for robust programming. Python is a popular language for beginners because it is easy to read and understand. Python is also a popular language for experienced programmers because it is very versatile and can be used for many different purposes.

Python is a high-level, interpreted, and general-purpose programming language. Created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, “There’s only one way to do it, and that’s why it works,” Python has a syntax that allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured, procedural, and object-oriented.

Python is used in many industries today, including web development, scientific computing, artificial intelligence, education, and finance. Python is a popular language for web development because it is easy to learn and easy to use. Python has many libraries and frameworks that allow for robust web development. Django is a popular Python web framework that is used by many large companies, such as Instagram and Pinterest.

Python is also used in scientific computing. NumPy and SciPy are two popular Python libraries for scientific computing. Matplotlib is a popular Python library for data visualization. Python is also used in artificial intelligence. TensorFlow is a popular Python library for machine learning.

Python is also used in education. Python is easy to learn for beginners and has many modules and libraries that allow for robust programming. Python is used in many introductory computer science courses.

Python is also used in finance. Many financial institutions use Python for data analysis and back-testing of trading strategies. Python is also used to build trading bots.

List of Popular Python Commands

1. print: Prints the given object to the standard output device (screen).
2. del: Deletes the named object.
3. import: Imports the named object.
4. from: Imports the specified object from the specified module.
5. def: Defines a function.
6. return: Returns a value from a function.
7. if: Executes a statement if a condition is true.
8. elif: Executes a statement if a condition is true, and the previous condition is false.
9. else: Executes a statement if all conditions are false.
10. while: Executes a statement repeatedly while a condition is true.
11. for: Executes a statement once for each item in a sequence.
12. break: Terminates a loop.
13. continue: Causes the loop to skip the remainder of its body and continue with the next iteration.
14. pass: Does nothing.
15. raise: Raises an exception.
16. try: Executes a statement and catches exceptions.
17. except: Handles an exception that occurred in a try block.
18. finally: Executes a statement regardless of whether an exception occurred.
19. assert: Displays an assertion error if a condition is false.
20. class: Defines a new class.
21. yield: Returns a value from a generator function.
22. with: Opens a file or other resource.
23. as: Renames a resource.
24. lambda: Creates an anonymous function.
25. is: Tests whether two objects are equal.
26. in: Tests whether an object is a member of a sequence.
27. and: Tests whether two conditions are both true.
28. or: Tests whether at least one condition is true.
29. not: Inverts a condition.
30. None: Represents a null value.
31. True: Represents a true value.
32. False: Represents a false value.
33. if __name__ == “__main__”: Executes a statement if the program is run as a script.
34. __name__: Contains the name of the current module.
35. __file__: Contains the name of the current file.
36. __builtins__: Contains built-in functions and variables.
37. dir: Lists the attributes of an object.
38. help: Displays documentation for an object.
39. open: Opens a file.
40. eval: Evaluates a string as valid Python code.
41. exec: Executes a string as valid Python code.
42. globals: Contains the global variables of the current module.
43. locals: Contains the local variables of the current function.
44. vars: Contains the variables of the current module.
45. __import__: Imports a module.
46. __package__: Contains the name of the current package.
47. exit: Exits the program.
48. quit: Exits the program.
49. sys: Contains system-specific parameters and functions.
50. os: Contains operating system-related functions.
51. re: Contains regular expression-related functions.
52. math: Contains mathematical functions.
53. random: Contains functions for generating random numbers.
54. string: Contains string-related functions.
55. time: Contains functions for dealing with time.
56. datetime: Contains functions for dealing with dates and times.
57. calendar: Contains functions for dealing with dates and times.
58. heapq: Contains functions for dealing with heaps.
59. bisect: Contains functions for dealing with bisection algorithms.
60. itertools: Contains functions for dealing with iterators.
61. functools: Contains functions for higher-order functions and operators.
62. operator: Contains functions for operators.
63. py_compile: Compiles a Python source file.
64. pyclbr: Contains class and function information for a module.
65. pydoc: Generates documentation for a module.
66. compileall: Compiles all Python source files in a directory.
67. dis: Disassembles a Python bytecode file.
68. py_objgraph: Generates object graphs for Python code.
69. zipimport: Imports modules from ZIP archives.
70. site: Contains functions for dealing with the site module.
71. sysconfig: Contains functions for dealing with the sysconfig module.
72. __builtin__: Contains functions for dealing with the __builtin__ module.
73. __future__: Contains functions for dealing with the __future__ module.
74. abc: Contains functions for dealing with the abc module.
75. aifc: Contains functions for dealing with the aifc module.
76. antigravity: Contains functions for dealing with the antigravity module.
77. AnyDBM: Contains functions for dealing with the AnyDBM module.
78. argparse: Contains functions for dealing with the argparse module.
79. ast: Contains functions for dealing with the ast module.
80. asynchat: Contains functions for dealing with the asynchat module.
81. asyncore: Contains functions for dealing with the asyncore module.
82. atexit: Contains functions for dealing with the atexit module.
83. audioop: Contains functions for dealing with the audioop module.
84. augparser: Contains functions for dealing with the augparser module.
85. base64: Contains functions for dealing with the base64 module.
86. bdb: Contains functions for dealing with the bdb module.
87. binascii: Contains functions for dealing with the binascii module.
88. binhex: Contains functions for dealing with the binhex module.
89. bisect: Contains functions for dealing with the bisect module.
90. bz2: Contains functions for dealing with the bz2 module.
91. cProfile: Contains functions for dealing with the cProfile module.
92. cgi: Contains functions for dealing with the cgi module.
93. cgitb: Contains functions for dealing with the cgitb module.
94. chapter: Contains functions for dealing with the chapter module.
95. chunk: Contains functions for dealing with the chunk module.
96. cmath: Contains functions for dealing with the cmath module.
97. cmd: Contains functions for dealing with the cmd module.
98. code: Contains functions for dealing with the code module.
99. codeop: Contains functions for dealing with the codeop module.
100. colorsys: Contains functions for dealing with the colorsys module.

In conclusion, Python is a versatile language that can be used for many different purposes. Python is easy to learn for beginners and has many modules and libraries that allow for robust programming.

Also Read: Top 4 Python Math Library Functions to Solve Math Problems Quickly

Also Read: Scratching the Surface of Python