Mastering Python: From Static Sites to SMS Responses
Written on
Chapter 1: Introduction to Python Development
Stay updated with the latest and most fascinating articles about Python by subscribing to our free newsletter, which delivers curated content directly to your inbox!
Section 1.1: Building Your First Static Site with Pelican
In this section, you'll discover the process of using Pelican to create your very own static website from scratch. Start by installing Pelican and Markdown via the pip command. This will also include Jinja2, as it is a necessary component for Pelican.
Until March 2022, Python was available in Visual Studio Code. The release of the Python Extension for Visual Studio Code in March 2022 brought numerous enhancements.
If you're keen on the updates, you can check out our changelogs for the Python, Jupyter, and Pylance extensions to see all the new features. We're transitioning our Insiders program to pre-release versions of the Python extension to improve the opt-in and upgrade experience. To install a pre-release version, open the extension view in VS Code (Ctrl + Shift + X), search for Python, and proceed to install the extension. Documentation for Python support in Visual Studio Code can be accessed here.
Section 1.2: Responding to SMS with Python and Bottle
Now, let’s dive into how to create a Bottle web application that can handle SMS text messages. First, navigate to the Manage Phone Numbers section and select the number you want to use for replying to messages. With our Bottle app, it’s now possible to respond to incoming SMS messages, which is a fantastic feature!
Using Python and Flask, you can easily send and receive SMS messages through a web API. With just a few lines of code, Flask applications can accept incoming texts and respond accordingly.
Chapter 2: Enhancing Python Performance with Multithreading
Section 2.1: Speeding Up Python Code
Often, we find ourselves writing Python scripts that involve remote data fetching, reading multiple files, or processing data. Many developers rely on a simple for loop, which can be quite slow. This scenario is where multithreading can be beneficial. By utilizing multithreading, we can significantly enhance the performance of our code when handling these tasks.
Section 2.2: Running Python in the Browser
The concept of executing Python code in a web browser has gained considerable popularity. In this section, we will provide an overview and compare various open-source alternatives for running Python in your browser. Unlike traditional methods that compile Python to JavaScript, the final three options create a Python runtime directly in the browser.
Conclusion: Exploring Python's Versatility
From building static websites to creating responsive web applications and enhancing code efficiency, Python proves to be a versatile language suitable for a variety of tasks. Whether you're interested in web development or performance optimization, there's always something new to learn and explore with Python.