Python Installing
Installing Python in Various Development Environments
Welcome to this detailed tutorial on installing Python in different development environments. This guide is designed to help students and beginners set up Python using various tools. This tutorial is part of the series by codeswithpankaj from www.codeswithpankaj.com.
1. Installing Python in Visual Studio Code (VS Code)
Step 1: Install Python
Download Python: Go to the official Python website python.org and download the latest version of Python for your operating system (Windows, macOS, or Linux).
Run the Installer: Locate the downloaded installer and run it. During the installation, make sure to check the option "Add Python to PATH" and then click "Install Now".
Verify Installation: Open a terminal (Command Prompt on Windows or Terminal on macOS/Linux) and type:
You should see the installed Python version.
Step 2: Install Visual Studio Code
Download VS Code: Go to the official VS Code website code.visualstudio.com and download the installer for your operating system.
Run the Installer: Follow the installation instructions to install VS Code.
Step 3: Set Up Python in VS Code
Open VS Code.
Install Python Extension:
Go to the Extensions view by clicking the square icon in the sidebar or pressing
Ctrl+Shift+X
.In the search box, type "Python" and install the extension by Microsoft.
Select Python Interpreter:
Open the Command Palette by pressing
Ctrl+Shift+P
.Type
Python: Select Interpreter
and select the installed Python version from the list.
Create a Python File:
Open a new file (
Ctrl+N
), save it with a.py
extension (e.g.,hello.py
), and write your Python code.
Run the Code:
Open the terminal in VS Code (
Ctrl+
).Navigate to the file location using
cd
command and run the code usingpython hello.py
.
2. Installing Python in Jupyter Notebook
Step 1: Install Python and Jupyter
Install Python: Follow the same steps as in the VS Code section to install Python.
Install Jupyter:
Open a terminal or command prompt and type:
Step 2: Run Jupyter Notebook
Start Jupyter Notebook:
Open a terminal or command prompt and type:
This command will start the Jupyter Notebook server and open the Jupyter interface in your default web browser.
Create a New Notebook:
In the Jupyter interface, click "New" and select "Python 3" to create a new notebook.
Write and Run Code:
Write your Python code in the cells and run it by pressing
Shift+Enter
.
3. Installing Python in Google Colab
Step 1: Access Google Colab
Open Google Colab: Go to colab.research.google.com.
Sign In: Use your Google account to sign in.
Step 2: Create a New Notebook
Create a Notebook:
Click on "File" > "New notebook" to create a new notebook.
Write and Run Code:
Write your Python code in the cells and run it by pressing
Shift+Enter
.
4. Installing Python in Anaconda
Step 1: Install Anaconda
Download Anaconda: Go to the Anaconda website anaconda.com and download the Anaconda installer for your operating system.
Run the Installer: Follow the installation instructions provided by Anaconda. Make sure to select the option to add Anaconda to your PATH environment variable.
Step 2: Set Up Anaconda
Open Anaconda Navigator: After installation, open Anaconda Navigator from your start menu or applications folder.
Launch Jupyter Notebook or Spyder:
In Anaconda Navigator, you can launch Jupyter Notebook or Spyder (a Python IDE). Click "Launch" under the desired application.
5. Installing Python in PyCharm
Step 1: Install Python
Install Python: Follow the same steps as in the VS Code section to install Python.
Step 2: Install PyCharm
Download PyCharm: Go to the JetBrains website jetbrains.com/pycharm and download the Community or Professional version of PyCharm.
Run the Installer: Follow the installation instructions.
Step 3: Set Up PyCharm
Open PyCharm: After installation, open PyCharm.
Create a New Project:
Click "New Project", select the location, and ensure the correct Python interpreter is selected.
Create a Python File:
In the project view, right-click the project folder, select "New" > "Python File", and name it (e.g.,
hello.py
).
Write and Run Code:
Write your Python code in the file and run it by right-clicking and selecting "Run".
Conclusion
Setting up Python in various development environments can enhance your productivity and make coding more enjoyable. Whether you choose VS Code, Jupyter Notebook, Google Colab, Anaconda, or PyCharm, each tool has its unique features and advantages. For more detailed tutorials and resources, visit www.codeswithpankaj.com and continue your learning journey with codeswithpankaj.
Happy coding!
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