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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
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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
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, one of the widely-used platforms for coding and automation, is the developer’s paradise. Regarded as one of the most accommodating programming languages, it can be highly efficient in immense virtual environments.
Whether you are a seasoned developer or a novice, this blog will double your chances of getting to know the Python environment and setting it up on macOS. Stay tuned and learn how to install Python on macOS in one go!
This tutorial will press on the topics of step-by-step installation of Python via Homebrew and system installation among others. Furthermore, it will touch upon the endless possibilities of using Python for Mac automation. We will also introduce developers to check for the version of the Python currently in use. More topics include the limitations of the language as well as a focus on Homebrew as a major package installer.
There are several ways to check for a Python version over macOS. Keep reading to know how to access the version on macOS.
To know the version of Python from Mac, follow these steps:
Step 1: Go to Applications>Utilities.
Step 2: Press on Terminal in the Utilities list.
Step 3: After you have the Terminal page open, type python3 -m ensurepip or python -m ensurepip.
Step 4: Press ‘return’ and you will find Python open for accessing.
By using a sys module, you can check the version of Python on your Mac. To do this, follow these steps:
Step 1: Open the terminal.
Step 2: Use this command.
nano check_python_version.py
Step 3: After the text editor is displayed, you can type the following code.
‘sys’ module
import sys
print("Python version")
print(sys.version)
print("Version info.")
print(sys.version_info)
Step 4: The script will import the ‘sys’ module and print the current version of Python.
Step 5: Save this script by entering ‘Ctrl’ + 0 and ‘Enter.’
Step 6: Exit the text editor by entering ‘Ctrl’ + ‘X.’
Step 7: Execute the script by running this command.
chmod +x check_python_version.py
Step 8: Run the command to execute the script for checking the version of Python.
./check_python_version.py
The two main variables used in this code are ‘sys.version’ and ‘sys.version_info’.
3.8.5 (default, Jan 27 2021, 15:41:15)
Integrated Development Environments accommodate a list of integrated tools meant to help developers with writing, editing, and managing code in general. Let’s talk about three IDEs readily available —PyCharm, Visual Studio Code (VS Code), and Jupyter Notebook.
To check the version of Python in PyCharm, you have to open the console and enter import sys followed by print(sys.version) or print(sys.version_info).
If you wish to install Python, Mac offers multiple ways in which developers can manually install the language. To access the latest version of Python, users may still need access to Python 3. To do this, there are three alternatives. Let’s have a look at this.
With the official installer available on the main website of Python, users can download and install the language. Here are the steps for installing Python using the installer:
Step 1: Download the Official Installer from python.org.
Step 2: Open the download folder and click on python-<version>-macosx.pkg to open the file.
Step 3: Run the Installer.
If you wish to change or update your Python version later, you can simply uninstall the current version and follow the above steps again to download the installation file for the version of your choosing. All the latest versions of Python get updated in Python’s office website and are free to download for all users.
With Homebrew, install Python and reap the benefits throughout the entirety of your development career. To install Python using Homebrew, you can follow these steps:
Step 1: Install Homebrew by entering this command:
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
Step 2: Update Homebrew by entering this command:
brew update
Step 3: Install Python by entering this command and running it:
brew install python
Step 4: Verify installation by entering this command:
python --version
Note: To verify pip, use this command:
pip --version
Homebrew’s popular package allows the developer to install the latest version of Pythons safely and run it efficiently. However, there are limitations to it that one must consider before moving forward with the package manager. Let’s go through these drawbacks.
So far, we have established that installing Python on macOS isn’t quite the straightforward process that one would expect it to be. However, for its powerful package that aids development and scripting, it is surely a way to go forward.
With Homebrew Python installation, and XCode, the language comes as a readily available platform for coding and automation. Get started with Python today and experience multiple functionalities on a macOS system.
1. How do I install Python on macOS via pip?
To install Python on macOS, you have to start with the pip tool offered by Python. To do so, open Terminal from Utilities under Applications. After this, type python3 -m ensurepip or python -m ensurepip and press return. This should install the pip and let you run the application.
2. Under what conditions does pip auto-install?
When it comes to pip installing itself, these criteria need to be fulfilled: a non-modified virtual environment on Python, and Python that has been downloaded from the main website i.e. python.org.
3. Does macOS have pip?
If you’re looking for pip in macOS, scoop over to the Favorites menu and select Applications. In the icons menu, you should find Utilities. You can find the Terminal option there and install pip with commands.
4. How can I manage Python on my macOS?
For managing and installing Python for Mac, you can install a Homebrew package manager. A Homebrew package has all the features including a stable interface needed for the installation and management of Python. With Homebrew, install Python and reap its benefits.
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