In the preceding code block, you first import theFlaskobject from theflaskpackage. You then use it to create your Flask application instance with the nameapp. You pass the special variable__name__that holds the name of the current Python module. It’s used to tell the instance where it...
For this tutorial, we’re going to create an API for creating your own ToDo list using Python, Flask, and Flask-restful. When you’re done, you’ll have a fully functional API, with every time getting its own endpoint. To start, create a folder for your project in your programming dir...
scalable, maintainable, and reliable applications. A Framework usually helps in providing reusable code and extensions. As we’ve covered previously, somePython frameworksincludeFlask, Tornado, Pyramid, and Django. Below, we’ll see where Flask shines and outline how to use it to create a simple...
More specifically, using them on Linux to build an API in Flask. I will be demoing all of this on a Linux environment, but many of the concepts apply equally to development across all platforms. If you prefer working in the Windows environment, we’ve got you covered. You can also ...
To start off, create a new directory for your project. Then, set up a new virtual environment in the folder by running the following commands: python3 -m venv env source env/bin/activate Next, install Flask, PyTesseract, Gunicorn, and Pillow by running the following command: ...
Having dealt with the nuances of working with API in Python, we can create a step-by-step guide: 1. Get an API key An API Key is (usually) a unique string of letters and numbers. In order to start working with most APIs – you must register and get an API key. You will need ...
Run pip3 install posthog to install PostHog's Python SDK. Then, initialize PostHog in app.py using your project API key and instance address (you can find these in your project settings): app.py package main from flask import Flask, render_template, request, redirect, session, url_for fr...
Now, we use the MQTT client - MQTTX to connect, subscribe, and publish tests. Receive message Create a connection in MQTTX and connect to the MQTT server. Publish Hello from MQTTX to the /flask/mqtt topic in MQTTX. We will see the message sent by MQTTX in the Flask running window....
Framework can also handle other serializations like XML, and so forth, but we’re going to use JSON. If you’ve used Marshmallow for serialization in Flask, this will look familiar. Let’s create a new module within ourapidirectory calledserializers.pythat we’ll use for our data ...
Data science. Python is widely used in data analysis and visualization, with libraries like Pandas, NumPy, and Matplotlib being particularly useful. Web development.Frameworks such as Django and Flask are used for backend web development. Software development. You can use Python in software developmen...