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200 Lessons1. Introduction to Python
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2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Reverse a List in Python
92. Python List remove() Method
93. How to Add Elements in a List in Python
94. How to Reverse a List in Python?
95. Difference Between List and Tuple in Python
96. List Slicing in Python
97. Sort in Python
98. Merge Sort in Python
99. Selection Sort in Python
100. Sort Array in Python
101. Sort Dictionary by Value in Python
102. Datetime Python
103. Random Number in Python
104. 2D Array in Python
105. Abs in Python
106. Advantages of Python
107. Anagram Program in Python
108. Append in Python
109. Applications of Python
110. Armstrong Number in Python
111. Assert in Python
112. Binary Search in Python
113. Binary to Decimal in Python
114. Bool in Python
115. Calculator Program in Python
116. chr in Python
117. Control Flow Statements in Python
118. Convert String to Datetime Python
119. Count in python
120. Counter in Python
121. Data Visualization in Python
122. Datetime in Python
123. Extend in Python
124. F-string in Python
125. Fibonacci Series in Python
126. Format in Python
127. GCD of Two Numbers in Python
128. How to Become a Python Developer
129. How to Run Python Program
130. In Which Year Was the Python Language Developed?
131. Indentation in Python
132. Index in Python
133. Interface in Python
134. Is Python Case Sensitive?
135. Isalpha in Python
136. Isinstance() in Python
137. Iterator in Python
138. Join in Python
139. Leap Year Program in Python
140. Lexicographical Order in Python
141. Literals in Python
142. Matplotlib
143. Matrix Multiplication in Python
144. Memory Management in Python
145. Modulus in Python
146. Mutable and Immutable in Python
147. Namespace and Scope in Python
148. OpenCV Python
149. Operator Overloading in Python
150. ord in Python
151. Palindrome in Python
152. Pass in Python
153. Pattern Program in Python
154. Perfect Number in Python
155. Permutation and Combination in Python
156. Prime Number Program in Python
157. Python Arrays
158. Python Automation Projects Ideas
159. Python Frameworks
160. Python Graphical User Interface GUI
161. Python IDE
162. Python input and output
163. Python Installation on Windows
164. Python Object-Oriented Programming
165. Python PIP
166. Python Seaborn
167. Python Slicing
168. type() function in Python
169. Queue in Python
170. Replace in Python
171. Reverse a Number in Python
172. Reverse a string in Python
173. Reverse String in Python
174. Stack in Python
175. scikit-learn
176. Selenium with Python
177. Self in Python
178. Sleep in Python
179. Speech Recognition in Python
180. Split in Python
181. Square Root in Python
182. String Comparison in Python
183. String Formatting in Python
184. String Slicing in Python
185. Strip in Python
186. Subprocess in Python
187. Substring in Python
188. Sum of Digits of a Number in Python
189. Sum of n Natural Numbers in Python
190. Sum of Prime Numbers in Python
191. Switch Case in Python
192. Python Program to Transpose a Matrix
193. Type Casting in Python
194. What are Lists in Python?
195. Ways to Define a Block of Code
196. What is Pygame
197. Why Python is Interpreted Language?
198. XOR in Python
199. Yield in Python
200. Zip in Python
Python programming has been extremely popular in recent years as a result of its ease of use, adaptability, and readability. This comprehensive introduction to Python will explore the fundamentals of Python programming for beginners, including its capabilities, applications, and core concepts. Whether you are an expert developer looking to advance your skills or a novice programmer who is interested in Python, this post will provide you with insightful information on the language and history of Python.
Python is a dynamic, bytecode-compiled, and interpreted language. Variable, parameter, function, and method types are not declared in the source code. You sacrifice the source code's compile-time type verification but gain short, flexible code as a result.
Python is a high-level, interpreted programming language praised for its elegant syntax and usability. Python, which Guido van Rossum created and first made public in 1991, is currently one of the most widely used programming languages. The procedural, object-oriented, and functional programming paradigms are all supported. Python is a well-liked programming language for computers that is used to build websites and applications, automate procedures, and perform data analysis. Python is a multipurpose programming language that wasn't created to address any specific problem.
Python Programming Examples:
Example 1:
print("Hello, World!")
Output:
Hello World!
Example 2:
# Write to a file
with open('example.txt', 'w') as file:
file.write('Hello, this is an example.')
# Read from a file
with open('example.txt', 'r') as file:
content = file.read()
print(content)
Output:
Hello, this is an example.
Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, and machine learning. Python's popularity results from a variety of benefits, including:
Before diving into Python programming, you need to set up your development environment. Follow these steps to get started:
The Easiest Way to Run Python
Python 3 has an easier syntax compared to Python 2. A lot of libraries of Python 2 are not forward-compatible. A lot of libraries are created in Python 3 to be strictly used with Python 3. Python 2 is no longer in use since 2020. Python has undergone significant changes between versions 2. x and 3. x. Understanding these differences is crucial for writing compatible and efficient Python code. Here are some key disparities:
Python Keywords are some predefined and reserved words in Python that have special meanings. Keywords are used to define the syntax of the coding. The keyword cannot be used as an identifier, function, or variable name. All the keywords in Python are written in lowercase except True and False. Python has a set of reserved words that serve as fundamental building blocks for programming. These keywords cannot be used as identifiers (variable names, function names, etc.). Here are some essential Python keywords:
A namespace is just a mapping from names to objects. A scope is a textual region of a Python program where a namespace is directly accessible. Each Python object has a scope that is the limit of its existence (and the point at which it cannot be accessed). Namespaces are storage areas for identifiers (variables, functions, classes, etc.) in the Python programming language. For creating modular and maintainable code, it is essential to comprehend namespaces and scope.
Python uses indentation to define blocks of code, eliminating the need for braces or other delimiters. Proper indentation is crucial for the readability and functionality of Python programs. Additionally, comments are used to provide explanations within the code for better understanding.
You can determine if a string is a valid Python keyword using the keyword module. This module provides an in-built function iskeyword() that checks whether a given string is a reserved keyword in Python.
import keyword
word = "if"
if keyword.iskeyword(word):
print(f"{word} is a valid Python keyword.")
else:
print(f"{word} is not a valid Python keyword.")
Python's simplicity, versatility, and extensive libraries make it suitable for various applications:
Advantages:
An effective and approachable way to enter the field of software development is through the use of Python programming. Both novice and seasoned developers will find it to be a fantastic choice due to its simplicity, readability, and versatility. Python offers the tools and resources to help you realize your ideas, whether you want to build web apps, investigate data science, or delve into artificial intelligence. Both structure-oriented and function-oriented programming are supported in Python. It has capabilities for managing dynamic memory that can use computing resources effectively. Additionally, it works with all widely used platforms and operating systems. As a result, all programmers can adopt this language.
1. What are the key features of Python programming?
Simpleness, adaptability, readability, a robust standard library, and strong community support are some of Python's best qualities. It is the best option due to these characteristics for both novice and seasoned developers. Python has a wide range of features, some of which are covered below:
2. Can Python be used for web development?
Yes, a lot of people use Python to construct websites. Frameworks like Django and Flask provide a strong foundation for building dynamic and scalable online applications. Python's essential features make it a popular choice for web development. Python is accessible, open-source, and cost-free, to start. But more importantly, it is also very adaptable. Python makes it possible for web designers to use a range of different programming paradigms to create websites.
3. Is Python suitable for data science and machine learning?
Absolutely. Due to its vast selection of libraries, such as Pandas, NumPy, sci-kit-learn, TensorFlow, and PyTorch, Python is the favored language for projects requiring data science, machine learning, and artificial intelligence. To become a data scientist, you must study several of the best and most widely used programming languages, like Java, C , R, Python, etc. Python has long been regarded among data scientists all over the world as the best choice among these.
4. Python language used in which field?
Python is used extensively in various fields including web development, data science, artificial intelligence, scientific computing, automation, and more.
5. What type of language is python?
Python is a high-level, dynamically-typed, general-purpose programming language known for its readability and versatility.
6. What can I do with Python as a beginner?
As a beginner in Python, you can start by writing simple scripts, automate tasks, or explore data analysis and visualization
Pavan Vdapalli
Director of Engineering
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working …Read More
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upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enr...