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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
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
Now Reading
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
In today's dynamic technological landscape, Python stands out as a versatile programming language, renowned for its ease of use and extensive library support. Its applications span across web development, data science, machine learning, and even robotics. But before one can embark on this Pythonic journey, a fundamental step remains: the installation.
Especially for Windows users, understanding this process of Python Installation on Windows, ensures a smooth start, eliminating potential hurdles in the future. In this tutorial, we meticulously guide you through the process of Python installation on a Windows operating system. For professionals aiming to harness the vast capabilities of Python, mastering the installation process is an essential stepping stone.
Python, with its rich ecosystem and extensive libraries, has cemented its position as the go-to language for a myriad of tasks, from automation scripts to intricate machine learning models. For Windows, the most widespread operating system in the professional world, setting up Python is a primary requirement for those looking to leverage its capabilities.
Although the Python Installation on Windows process is relatively linear, understanding its nuances ensures a hassle-free experience, allowing users to capitalize on Python's prowess without any hitches. This tutorial provides an in-depth exploration of the Python installation method specifically tailored for Windows, guaranteeing you a seamless integration of this powerful language into your toolkit.
Python, a versatile and widely used programming language, offers extensive libraries and frameworks. Whether you’re aiming to delve into web development, data science, or artificial intelligence, knowing how to install Python Windows 10 is the foundational step. This guide will help you achieve a hassle-free installation.
Before diving into Python's capabilities, obtaining the right installer is paramount. Here’s how you set the stage to successfully install Python on Windows
Official Python Website: Start by heading to Python's official website. This website provides the most up-to-date releases of Python.
Select Version:
How to Download Python:
Table: Python Download Options
Version | File Size | Release Date |
Python 3.9.7 | 27 MB | Aug 30, 2021 |
Python 3.8.5 | 26 MB | July 20, 2020 |
Once downloaded, the installer is your gateway to the world of Python on Windows. The following steps ensure it’s integrated seamlessly with your system:
Locate the Installer: Use File Explorer to navigate to your download folder, typically C:\Users\YourName\Downloads, or wherever you've chosen to save the .exe file.
Launch Installer:
Add to PATH:
While Python's flexibility is renowned, customizing its installation can augment your development environment. Whether you opt for a standard or tailored setup, here’s what to expect:
Installation Type:
Wait: The setup will display a progress bar. It usually takes a few minutes, depending on your system's speed.
As with any installation, it’s crucial to ensure that Python sets itself up without hiccups. Here’s how to confirm a job well done:
Signs of Successful Installation:
Installation Path: It's wise to remember or jot down where Python has been installed. Default paths are often C:\Users\YourName\AppData\Local\Programs\Python\Python39\.
First, check your Python Version. Open your command prompt. Type the following command and press Enter:
python --version
This command should display the installed Python version. For example, it might show something like Python 3.9.5.
Then, we should check if the Python interpreter is working correctly. You can simply enter the Python interactive shell. Type the following command and press Enter:
python
You should see the Python prompt (typically >>>). You can now enter Python commands to execute. We will then check for Pip (Python Package Manager). Pip is a package manager for Python.
To check if Pip is installed, type the following command and press Enter:
pip --version
The above command should display the installed Pip version.
Finally, we run a Python Script. Create a simple Python script (e.g., a file named test.py) with the following information:
print("Python installation verified successfully!")
Save the file and then open your terminal or command prompt, navigate to the file (directory) where you saved test.py, and then run the script using this command:
python test.py
If you see the message "Python installation verified successfully!" printed in the terminal, your Python installation is working correctly. If you use specific Python libraries or packages, you can verify their installation by trying to import them in a Python script or the interactive shell. For example:
import numpy
If there are no error messages, the library is installed.
First, write the Python code:
print("Hello, World!")
This code will simply print "Hello, World!" to the console when you run it.
Then, save the file with a .py extension. For example, you can save it as hello.py. The .py extension makes it a Python script. Finally, open your command prompt or terminal and navigate to the directory where you saved the hello.py file.
To run the script, type the following command and press Enter:
python hello.py
You should see the output on the screen, which will be:
Hello, World!
Congratulations! You have just successfully written and executed your first Python program. Now you can start writing more advanced programs with your newly acquired Python environment inside your Windows system.
If you wish to update or change your Python version, you can simply uninstall your current version and then again follow the steps we have covered to install the Python version you want after downloading the relevant installation file.
In programming, Python's prominence is unquestionable, bolstered by its adaptability and robust library support. For professionals and enthusiasts alike, getting Python up and running on a Windows environment is the initial step to tap into this potential. Through this tutorial, we aimed to elucidate the intricacies of Python installation, ensuring a straightforward and error-free process.
While this tutorial arms you with the technical knowledge to begin, the journey of continuous learning is endless. Should you seek further specialization and a deeper understanding, consider exploring upGrad's diverse array of upskilling courses. Their tailored programs provide an excellent platform for professionals to hone their skills and remain at the forefront of the ever-evolving technological landscape.
1. What if the command prompt doesn't recognize the "python" command?
When the command prompt doesn't recognize "python", it's typically due to the Python executable not being part of the system's PATH. During the installation process, there's an option to automatically add Python to PATH. If this was overlooked, you can manually add Python to your system's environment variables by including the Python installation directory. This ensures the system recognizes the "python" command globally.
2. How can I uninstall Python from Windows?
To uninstall Python from a Windows system, navigate to the 'Programs and Features' section found within the Control Panel. Scroll through the list of installed applications until you find the Python entry. Once located, right-click on it and opt for 'Uninstall'. This process initiates the removal of the Python environment from your machine.
3. Is there a difference between installing Python Windows 10 and other versions?
Fundamentally, the Python installation process remains consistent across different Windows versions. Nevertheless, users might notice minor variations in the user interface or sequence of installation prompts based on the specific Windows version in use. It's always advisable to follow installation guidelines tailored to your specific Windows version.
4. Where can I find resources on how to use Python on Windows?
For professionals and enthusiasts seeking an in-depth understanding of Python on Windows, platforms like upGrad offer a plethora of resources. Ranging from courses to tutorials, these platforms ensure users are equipped to harness the full potential of Python. The combination of structured learning and real-world applications facilitates a holistic learning experience.
5. Do I need separate installations for different Python versions?
Absolutely! If you intend to utilize multiple Python versions concurrently, each requires its own distinct installation. This is essential to prevent conflicts between versions. Nonetheless, employing virtual environments can greatly simplify the process, allowing users to switch between different Python versions effortlessly, ensuring a smooth developmental workflow.
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