Discovering Aiohttp for Faster, Concurrent Web Requests — Are you tired? Tired of waiting for your requests to complete one by one. Being stuck. Waiting. Only to be met and overwhelmed with the feeling of frustration and disappointment when the request finally times out? …

Harness the Power of Coroutines, Tasks, and Futures — Are you tired of writing slow and unresponsive code? Do you want to build applications that are fast, scalable, and responsive? If your answer is a resounding yes, then it’s time to dive into the world of asynchronous programming with Python’s Asyncio library! Asynchronous programming has become a critical skill…

Learn the Basic Concepts of Concurrency and Upgrade Your Python Skills today! — Python is popular. It’s versatile. And it’s widely used for everything from web development to scientific computing [1]. However, many of today's applications rely heavily on the use of input/output (I/O) operations, which can have a severe and compounding impact on performance. Luckily for us, Python offers a range of…

A backend service using TypeScript, JWT, and HttpOnly cookies — I used it. You did, too. It’s ubiquitous. It’s everywhere. It’s essential. You know what I’m talking about: authentication. Authentication describes the act of proving an assertion, such as your identity to a computer system [1]. Or simply put — you tell the system who you are. And since authentication…

The two most important properties you need to know when designing a workflow — Last week, we learned how to quickly spin up a development environment for Apache Airflow. This is awesome! However, we have yet to learn how to design an efficient workflow. Simply having a great tool at our fingertips won’t cut the deal alone — unfortunately. Although Apache Airflow does a…

Create a development environment and start building DAGs — Although being pretty late to the party (Airflow became an Apache Top-Level Project in 2019), I still had trouble finding an easy-to-understand, up-to-date, and lightweight solution to installing Airflow. Today, we’re about to change all that. In the following sections, we will create a lightweight, standalone, and easily deployed Apache…

Gathering resources to continue learning and improving — In the last episode, we took a small detour and learned the basics of regular expressions, allowing us to match and modify strings in a way that suits our Natural Language Processing needs. Looking back, we have covered a variety of topics in this series. Things like Bag-Of-Words, TF-IDF vectors…

Just express yourself with regular expressions — In the last episode, we reviewed the key architectures in the field of deep learning and highlighted the importance of a general workflow. We also stated that most of the challenges lie not in the designing or modeling aspect but in the preparation and preprocessing of the data. Now, it’s…

A general workflow and some key network architectures — In the last episode, we gently introduced Tensorboard. A tool that allows us to gain insights and a deeper understanding of the various models we implemented. Considering the fact that this series is slowly approaching the finish line, it’s time to take a step back. In the following sections, we’re…