Version control systems are software tools that help developers track and manage changes to source code. There are several different version control systems available, each with its own set of features and capabilities. Some popular version control systems include Git, Mercurial, and Subversion. All of these version control systems are designed to help developers collaborate on projects, track changes to their code, and maintain a history of their work. In this post I will talk about a new player on the field, developed internally by Meta – Sapling.
read more “Sapling by Meta: review and first impressions”Category: news
New Python 3.10 Features You Must Try Out
Python is beloved by many data scientists and general-purpose developers for its simplicity and elegance. The latest version of Python, the 3.10 is currently in beta phase, but no new features will be added ahead of its final release in October of 2021. Now is just the time to learn about its new features ahead of schedule.
read more “New Python 3.10 Features You Must Try Out”Bring Reactive Workflow to Your Team With GitLive
The pandemic forced us to rethink our ways of collaborating. In the latest digital transformation, we were forced to limit our team interactions to digital tools. One of the tools that push the boundaries of team communications is GitLive.
read more “Bring Reactive Workflow to Your Team With GitLive”Awesome New Features in Python 3.9
Python 3.9 is currently in the 4th iteration of its beta phase (as of July 2020). While some things may change, it is now pretty clear what the new release will look like.
read more “Awesome New Features in Python 3.9”Run C# in browsers with Blazor
With the rise of WebAssembly, the number of things we can do with a browser increased rapidly. One example is Blazor, a new web framework from Microsoft. It allows you to write websites in C# with the full power of .NET.
read more “Run C# in browsers with Blazor”Python 3.8 released: what’s new
Github ranked Python to be #2 most popular programming language in 2019. It is praised for being concise, easy to learn and use, rich in features. In addition, Python and R are to-go languages for data science applications. Python 3.8 was released in October of 2019 and here are the new exciting features that came with it:
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