The official Python extension for Visual Studio Code is provided with monthly updates by Microsoft. The February 2020 update increases the startup speed of the Jupyter Notebook editor, follows a popular user request, and closes 66 issues. Let’s take a look and see what’s new.
Thanks to its usage in big data, machine learning, and artificial intelligence libraries, Python has seen a huge surge in popularity over the past few years. Bokeh is an open source interactive data visualization library for Python that can be used in modern web browsers. Find out how to visualize your datasets using Bokeh by following these simple steps.
Weekly Review: Hidden classes in Java, Red Hat fights for software freedom, and Angular 9 is finally here!
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. And last week that was a lot! The frequency of Angular 9 release candidates had been picking up speed, and now Angular 9 has been released at last. We took a peek at all the cool new features including Ivy and lazy loading. Further topics include hidden classes in Java and the court case Oracle v. Google.
When Guido van Rossum developed Python, he had a simple programming language in mind that circumvented the weaknesses of other systems. Python’s easy syntax and well thought out syntactical options have established the language as a standard for various scientific applications, such as machine learning.
HiPlot, a visualization tool for plotting high-dimensional data as is used in machine learning tasks, was released by Facebook AI. The open source tool supports parallel plots, can be run from a Jupyter Notebook and provides interactive visualizations. Let’s take a closer look at the features.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we launched our JAXenter survey, Java EE Guardians became Jakarta EE Ambassadors and Microsoft Blazor is likely to go mainstream this year. Let’s take a closer look.
pandas has reached the milestone version 1.0.0. The Python library for data analysis and manipulation has already been around for 12 years and is being used in production, so what led to this decision now? We spoke to Tom Augspurger from the pandas developer team. He shared some insights on the new release, his personal highlights and where pandas is headed in the future.
Detecto is neither the name of a new superhero nor a detective novel, but a recently developed Python package for training and running object detection models. Built on top of PyTorch, it is designed to be easy to use—and its developer claims that under ten lines of code are enough to run the trained machine learning models on videos.
Which programming languages do developers love most—and which do they dread? CodinGame has the answers, as the company surveyed more than 21,000 developers. They also took a look at where to find the happiest developers, depending on the countries they work in and the positions they hold.
The deep learning platform PyTorch has received an upgrade. Version 1.4 comes with breaking changes, new features, bug fixes and deprecations. Java bindings are available as one of several experimental features, and you can now use the latest versions of PyTorch’s domain libraries.
Its end of life came as no surprise, and yet, many teams still do not have a plan going forward on what to do with their Python 2 apps. A recent study found that while most teams anticipate migrating to Python 3, there are some that will self-support Python 2, and even a few that will rewrite their apps in another language. What challenges will organizations face when they migrate their code?
The popular data science library pandas just turned twelve, and now it’s headed for version 1.0.0. The first release candidate shows that pandas will receive a new scalar for missing values, a new deprecation policy following semantic versioning, a redesigned website and more.