DevOps, C++ & Python are indispensable skills in tech, showing a huge year-on-year growth as well as continued dominance in terms of what employers want. However, there is also a trend that more and more digital skills are demanded from those working in non-IT positions as well.
Python Fire turns up with a new update. The latest release, version v0.2.0 adds some new improvements. This library auto-generates command line interfaces (CLI) from any Python object. You can call Fire on Python functions, classes, objects, dicts, or anything else!
There are many IDEs for Python, and it’s time for one more. ExpressPython is a lightweight, small code editor for Python 3. Originally built to help teach students how to code, it can be used in programming competitions, or just when you need a fast, small, clean code editor.
Are Perl’s days numbered? As Python continues to rise up the TIOBE Index, Perl lands in its all-time lowest spot on the charts. However, don’t be so quick to declare its death. Let’s take a look at this programming language, its waning popularity, and what its current developers are using it for. (Did you know DuckDuckGo uses Perl?)
The usage and importance of Python have been growing year after year, especially with the data analytics and data science community. In this article, Disha Gupta offers a quick demo of how to implement Python libraries.
Java and C are the most popular programming languages, however, Python continues to see amazing growth in 2019. The TIOBE Index claimed that Python might overtake Java and C as the most popular language in a few years. Is this accurate? Let’s take a look at this month’s index and see what the projections are.
Python continues to be the language of choice for all things scientific. Panel is a new open source high-level library for creating ways of showing off scientific data. It supports popular Python plotting libraries such as Bokeh, Matplotlib, and Datashader for data visualization. Create reactive objects with Panel and compose plots, tables, and more.
The first beta release for Python version 3.8 is here. Check out the new features, report any potential bugs, give feedback, and catch a sneak peek on the newest release highlights in order to prepare yourself for what’s coming in Python 3.8. (Have you met the walrus operator?)
Are you looking for an answer to the long-standing debate Java vs. Python? Are you starting a new project and can’t decide which language will suit you best? Fear not! Rilind Elezaj has some handy advice.
Support for Python 2 will be cut off in 2020 and some may have already been feeling the pain! What are the next steps? How can you start preparing for migration to Python 3? In this article, Bart Copeland has some handy advice.
Dynaconf is a dynamic configuration for Python applications. With it, you can set one canonical settings module to use for all instances. Users can also change their dynamic parameters without having to deploy their application. This settings config tool for Python offers extensions for both Flask and Django.
What are developers and data scientists using Python for? The language continues to grow in the field of machine learning, web development, and neural networks. ActiveState recently examined the data from their customers and listed the top use cases by industry and what ML tools professionals are using.
Stack Overflow’s annual developer survey is back with results for 2019. Find out what technology is most loved, most dreaded, and most wanted. This year there are more insights about the global developer profile, demographics, and what challenges get in the way of workflow. With nearly 90,000 responses from around the globe, this is the world’s largest developer survey.
Django is a Python web framework for rapid development and this week it reached its 2.2 version. Most important highlight of this release is that 2.2 is a long-term support (LTS) version. Let’s take a closer look.