Python 2.x— This is the older version of Python, with the last release beingPython 2.7.18. While Python 2.x is still used in some legacy applications, it’s important to note that it reached its end-of-life in January 2020, and no further updates or bug fixes will be provided. As...
Here’s where troubleshooting kicks in. If you see something like“ModuleNotFoundError: No module named ‘numpy'”, double-check ifNumPyis installed correctly. Go back to thePython Interpretersettings and terminal instructions. Ensure no typos in the import statement. Exploring Basic Usage of NumPy...
It has an easy learning curve: Despite having a smaller user community than frameworks like Flask and Django, FastAPI stands out with its extensively comprehensive documentation and tutorials. With a development background, particularly in Python or JavaScript, you can easily pick it up. Its overall...
To harness the power of Python on VPS, it's imperative to install it correctly. Python installation on a VPS can sometimes be tricky due to varying server configurations. In this guide, we will provide step-by-step instructions to ensure a smooth Python installation on your Virtual Private Se...
Python3 -m pip install Flask So far, we have created our project folder, installed and created a virtual environment for our project, and installed Flask in the environment. Let’s head towards Step 2. Step 2: Let’s Write Some Code ...
In the next section, we’ll write a Dockerfile and build a Docker image for our Flask-based ML application. 3. Building your first Docker container Now that our machine learning application is ready, the next step is to containerize it using Docker. This involves creating a Dockerfile, ...
Before you get started coding, you need to set up your Python developer environment. In this step, you will install and activate your Python requirements within a virtual environment for easier management. You can do all of this from within the terminal in Visual ...
Last but not least, you’re now ready to run your Python application. In the Terminal, simply enterdocker run python-imagename. Your output will vary depending on your app’s functionality, but here’s how it looks for Patrick’s IMDB use case: ...
When you create a new Django project in PyCharm, it automatically installs the required dependencies, sets up the project structure, and creates a run configuration for you. This simplifies the initial project setup and allows beginners to focus on learning Django rather than dealing with project...
This will be very useful in this example. We open another terminal, and then we cd into the frontend folder to create the project folder for our frontend. We will use: npx create-react-app chatter to do this. After this, we navigate to the Chatter folder and install the WebSocket ...