Django is a popular high-level Python web framework that encourages rapid development and clean, pragmatic design.
If you’re using Anaconda, a powerful platform for data science and machine learning in Python, you might want to install Django within its environment.
This allows you to maintain your projects in isolated environments with specific package versions. This tutorial will guide you through the steps of setting up Django within an Anaconda environment.
Steps
Step 1: Install Anaconda
Before installing Django, you need to have Anaconda installed on your system. Go to the Anaconda Individual Edition page and download the installer for your operating system. Follow the instructions provided to install Anaconda on your system.
Step 2: Create a New Conda Environment
It’s recommended to create a new environment for your Django project to keep the dependencies required by different projects separate. Use the following command in the Anaconda Prompt or your terminal to create a new environment. Replace ‘yourenvname’ with the desired environment name, and specify python=3.x with the python version you prefer.
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conda create --name yourenvname python=3.x |
Step 3: Activate the Anaconda Environment
Once the environment is created, you must activate it. Use the following command to do so:
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conda activate yourenvname |
Step 4: Install Django
With your environment activated, you can now install Django using the conda package manager. Execute the following command:
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conda install django |
Alternatively, you can install Django using pip, the Python package manager, which might have more up-to-date versions of Django:
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pip install django |
Step 5: Verify Django Installation
To verify that Django is installed successfully, you can check the version of Django installed in your environment by running:
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python -m django --version |
This command should return the version of Django that’s currently installed in your active conda environment.
Step 6: Start a New Django Project
To start a new Django project, use the django-admin command-line utility that comes with Django. Run the following command, replacing ‘myproject’ with the name you wish to give your project:
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django-admin startproject myproject |
After running the command, you should see a new directory with the name of your project created in your current working directory. This directory contains the basic structure of a Django project.
Step 7: Run the Development Server
Finally, you can navigate to your project directory and run the development server to see if everything is working correctly:
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cd myproject python manage.py runserver |
After executing the command, you should see output indicating that the development server is running. By default, the server runs on port 8000, and you can visit http://127.0.0.1:8000/ in your browser to see the welcome page of your new Django project.
Conclusion
Setting up Django in an Anaconda environment can help you manage project dependencies more effectively, especially in data science and machine learning projects where package versions are crucial. Following these steps, you’ll be ready to develop your web application using Django in an isolated environment.
Full Code
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# Step 2 – Create a new conda environment conda create --name yourenvname python=3.x # Step 3 – Activate the conda environment conda activate yourenvname # Step 4 – Install Django using conda or pip conda install django #OR pip install django # Step 5 – Verify Django installation python -m django --version # Step 6 – Start a new Django project django-admin startproject myproject # Step 7 – Run the development server cd myproject python manage.py runserver |