The Desk
The Desk — Edition 66
Welcome to the 65th issue of the Desk. The Desk is my weekly newsletter covering newly published content and project updates.
The Desk
Welcome to the 65th issue of the Desk. The Desk is my weekly newsletter covering newly published content and project updates.
Digital
Discover 48 new Awesome Lists and 6 fresh categories, including AI, cryptocurrency, databases, decentralized systems, media, and travel. Explore curated resources, tools, and frameworks to enhance your projects, from deep learning to travel hacking. Join the Awesome Lists community today!
Digital
In this blog post, I will explore ten tips for conducting effective Python code reviews.
Digital
In this article, I will explore ten best practices for Python application development to help you write clean, maintainable, and efficient code.
Digital
In this blog post, I'll explore 10 Python projects for beginners that will help you gain hands-on experience and build a solid foundation in Python programming.
In this article, we will explore ten key areas where the open-source community as a whole can improve and address the gaps that exist within its ecosystem.
Digital
In this article, we will explore ten key indicators that can help you spot a programmer who may not be up to par.
Digital
In this blog post, I will show you how-to create custom breadcrumbs that feature a "Home" link, ascending order functionality, and the ability to customize the appearance.
Digital
In this blog post, I'll show how-to use JavaScript to display specified HTML content within div elements based on their IDs.
Digital
I will show you how-to create a dropdown menu using HTML and JavaScript that redirects to a specific URL when an option is selected. This can be useful when building navigation menus or providing a selection of external links for users to choose from.
In this blog post, I will share how to create a Node.js script that fetches and displays the monthly download counts of multiple NPM packages using the npm registry API.
Digital
In this blog post, we'll explore a Python script that helps analyze and visualize travel expenses using the power of data analysis and visualization libraries. This script allows you to gain insights into your spending patterns and make informed decisions for future trips.