With practically everything moving online now and consumers making snap decisions about what to buy and what not- can you really afford to not have an ecommerce website for your business? Well, we don’t think so! According to Tech Jury, 90% of online experiences begin with a search engine. Yes, that’s true! This basically means that if your business doesn’t have a website, you’re losing out on a lot of potential consumers.

Python is renowned for its simplicity and readability, making it a favorite among both beginners and seasoned developers. However, even the most experienced programmers encounter syntax errors that can bring their code to a screeching halt. These pesky errors can be frustrating, but understanding their nature and how to resolve them is essential for any Python coder.

If you’re looking to integrate web services using Python, mastering REST APIs is crucial. This article delivers a clear, step-by-step guide to leveraging Python with REST API’s straightforward syntax and libraries to build and connect with RESTful services. From environment setup to security and beyond, expect practical advice that will elevate your Python with REST API projects seamlessly within the world of REST APIs.

To maintain consistency and avoid challenges between different projects, you need to manage dependencies and isolate their project environments. Virtual environments solve this problem by allowing dependencies to be installed in isolated environments without affecting the Python installation system-wide. We'll compare venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, and pipenv for creating isolated Python environments.

In the world of Python frameworks, FastAPI is the new kid on the block and a great choice for building APIs. Equally, Render is a good option for developers who want to quickly test their applications in a production environment for free. In this post, we'll run through how to deploy a FastAPI app to Render. First, though, let's explore why FastAPI and Render are often chosen by developers.

except Exception as e is a construct in Python used for exception handling. It allows you to catch exceptions that occur during the execution of a block of code by using a try block to wrap the code that might raise an exception, and an except block to catch and handle the exception. The Exception part specifies that any exception of this type or its subclasses should be caught, and the as e part assigns the caught exception to a variable e, which you can then use to access details about the exception.

Imagine your Python environment as a toolbox—just like you need the right tools for specific tasks, you require precise packages in the correct sizes and versions to tackle different programming challenges. Just as you wouldn't use a hammer for every job, you need specific versions of Python packages customized to your project's requirements. However, traversing the complexities of package versions can often feel like searching through a messy toolbox.

As software developers, we all write lots and lots of lines of code while building an application. But to ensure that each and every components work perfectly in the software, we really need to do some unit testing. This ensures proper functionality and reliable performance of our product. These testing of individual components is known as Unit Testing. For the dynamic nature and the ease of writing tests alongside the code, Python can be a viable option for unit testing of our software.

Understanding how to make a GET request to an API using Python is an essential skill for developers. This article will guide you through the process, demonstrating how to use Python’s ‘requests’ library to fetch data, handle the full JSON object in response, and manage API errors efficiently. Step into the practical world of Python GET API calls without any detours.