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Python Tutorials - Elevate You…
1. Introduction to Python
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. Python List remove() Method
92. How to Add Elements in a List in Python
93. How to Reverse a List in Python?
94. Difference Between List and Tuple in Python
95. List Slicing in Python
96. Sort in Python
97. Merge Sort in Python
98. Selection Sort in Python
99. Sort Array in Python
100. Sort Dictionary by Value in Python
101. Datetime Python
102. Random Number in Python
103. 2D Array in Python
104. Abs in Python
105. Advantages of Python
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106. Anagram Program in Python
107. Append in Python
108. Applications of Python
109. Armstrong Number in Python
110. Assert in Python
111. Binary Search in Python
112. Binary to Decimal in Python
113. Bool in Python
114. Calculator Program in Python
115. chr in Python
116. Control Flow Statements in Python
117. Convert String to Datetime Python
118. Count in python
119. Counter in Python
120. Data Visualization in Python
121. Datetime in Python
122. Extend in Python
123. F-string in Python
124. Fibonacci Series in Python
125. Format in Python
126. GCD of Two Numbers in Python
127. How to Become a Python Developer
128. How to Run Python Program
129. In Which Year Was the Python Language Developed?
130. Indentation in Python
131. Index in Python
132. Interface in Python
133. Is Python Case Sensitive?
134. Isalpha in Python
135. Isinstance() in Python
136. Iterator in Python
137. Join in Python
138. Leap Year Program in Python
139. Lexicographical Order in Python
140. Literals in Python
141. Matplotlib
142. Matrix Multiplication in Python
143. Memory Management in Python
144. Modulus in Python
145. Mutable and Immutable in Python
146. Namespace and Scope in Python
147. OpenCV Python
148. Operator Overloading in Python
149. ord in Python
150. Palindrome in Python
151. Pass in Python
152. Pattern Program in Python
153. Perfect Number in Python
154. Permutation and Combination in Python
155. Prime Number Program in Python
156. Python Arrays
157. Python Automation Projects Ideas
158. Python Frameworks
159. Python Graphical User Interface GUI
160. Python IDE
161. Python input and output
162. Python Installation on Windows
163. Python Object-Oriented Programming
164. Python PIP
165. Python Seaborn
166. Python Slicing
167. type() function in Python
168. Queue in Python
169. Replace in Python
170. Reverse a Number in Python
171. Reverse a string in Python
172. Reverse String in Python
173. Stack in Python
174. scikit-learn
175. Selenium with Python
176. Self in Python
177. Sleep in Python
178. Speech Recognition in Python
179. Split in Python
180. Square Root in Python
181. String Comparison in Python
182. String Formatting in Python
183. String Slicing in Python
184. Strip in Python
185. Subprocess in Python
186. Substring in Python
187. Sum of Digits of a Number in Python
188. Sum of n Natural Numbers in Python
189. Sum of Prime Numbers in Python
190. Switch Case in Python
191. Python Program to Transpose a Matrix
192. Type Casting in Python
193. What are Lists in Python?
194. Ways to Define a Block of Code
195. What is Pygame
196. Why Python is Interpreted Language?
197. XOR in Python
198. Yield in Python
199. Zip in Python
Python is a programming language used to develop web-based applications. It is in high demand these days with an increase in IT companies and IT use. It has an easy syntax and easy-to-understand language, making it even easier for beginners to learn. Learn Python today to land a job that you have always desired.
Guido Van Rossum developed Python in the year 1991. Python is a programming language used for web-based application development.
With the rise of artificial intelligence and machine learning, the relevance of Python has increased as well. Python is considered a versatile programming language. With its easy portability across several platforms and no hassle, simple codes, it has become one of the popular choices among Programmers and developers.
Due to its flexibility, Python is one of the popular choices among programmers and developers. As it is been significantly used in various disciplines, it commands demand. You will understand why Python is demanded so much as you proceed further.
Huge earning potential – As the field of artificial intelligence and machine learning is continuously growing and expanding, the demand for Python programmers is also growing, creating a huge demand. According to a recent report, Python programming language is the second highest-paid language across the globe.
Easy programming – Python is easy to understand and learn. It is also free and open-sourced, enabling anyone to understand it easily. Python is a no-complexity programming language. Its syntax is similar to English, making it easy to read and focusing on learning other benefits of the language.
Used in almost every industry – Including finance, mapping, and geography, web development relies on Python for its flexibility. It is used by renowned companies like Pixar, Netflix, Google, JP Morgan Chase, and so on.
Several nations across the world are encouraging start-ups as they would benefit the economy at large.
Every start-up consistently has this need to develop, adapt, and change, as the products and services these start-ups offer have to be changed to keep that demand in the market.
Python is similar; it is agile and has the ability to adapt to changes. It can help start-ups reach the IPO that they need.
As mentioned earlier, Python is one of the popular choices among developers and programmers. It is not only demanded for its agility and flexibility, but Python is also known for its security. It is one of the most secure programming languages available in the information technology market.
Python’s OWASP Python Security Project is the project that enables programmers to develop a more hardened version, which is more resistant to malware attacks and manipulations. Its demand has all the most increased due to the increase in cyber attacks in recent years.
To learn Python, you need to choose the right program that will enable you to learn the basics and complexities of Python.
Georgia Institute of Technology | IIT Kanpur | UpGrad |
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5 weeks | 11 Months | 8 weeks |
Fundamental atoms of programming, writing and interpreting codes, control structures, and algorithms | Basics of programming, data modeling, data visualization, and more | Data structure, algorithms, Python libraries, tableau, and so on. |
Python has a wide applicability. It is used in almost every industry and discipline out there. Following are various applications of Python:
Almost every organization uses Python for its daily usage. Some of the organizations that use Python have been listed below:
Netflix – Python is used for recommending content and shows to the wider audience using its algorithms.
Pixar – Pixar uses Python for its amazing animations and features that keep the audience attached.
Amazon – Amazon uses Python to build several prototypes and test its ideas.
Google – Python is one of the four programming languages used by Google.
JP Morgan Chase – JP Morgan Chase uses Python for running its codes and helps them with finances.
Spotify – Spotify uses Python for its back-end services and Data analysis.
Instagram – Instagram engineers use Python to investigate errors and run the application more efficiently and effectively.
YouTube – Python is used for YouTube algorithms and content recommendations.
NASA – NASA uses Python to receive, store, and retrieve data that comes from its telescopes back to Earth.
Facebook - Facebook uses Python for its regular coding requirements, enabling users to get a great experience.
Due to its easier-to-understand user interface and simpler syntax, it is suitable for novices. To deal with data sets and databases more effectively, one must be qualified and have sufficient hands-on expertise in machine learning, data visualization, and numerical calculation.
Data science libraries and community support are abundant in Python. Because of its adaptability and popularity among data scientists, it is versatile. However, depending on the needs of the project, as well as personal interests and curiosities, one can start their journey with Python and subsequently go to more advanced levels of programming.
1. What is Python?
Python is a programming language used for developing web-based applications. Developed and created by Guido Van Rossum, it is a powerful and easy-to-use language and one of the popular choices amongst developers and programmers worldwide.
2. Do social media companies like Instagram use Python?
Yes, Social media companies like Instagram and Facebook use Python for their daily programming developments.
3. Is Python secure?
Yes, Python is secure. Its OWASP Python project enables developers to create a hardened version, making it more resistant to attacks and manipulations.
4. Is Python Versatile?
Yes, Python is a versatile programming language that is used across several disciplines and industries. It has many uses. It is used for investigating errors on Instagram, managing algorithms and content recommendations on platforms such as Netflix and YouTube, and receiving, storing, and retrieving data by international organizations such as NASA.
5. Is Python good for beginners?
Yes, Python has been developed with simple codes and syntax. It’s an easy language, and programming makes it quite useful for beginners.
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