Django version 3.0 is the newest version of Django. This open source Python framework was developed for fast web development tasks, with fully scalable architecture. It now begins its journey towards async-capable Django. Take a look at what the 3.0 milestone includes, what features were added and removed, and what Django has to offer Python developers.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we took a deep dive into a new State of the Octoverse report, looked in detail at Java ValueTypes, caught up with the latest Java 14 news and much more. Let’s take a closer look.
Python has picked up its pace! New major versions of the programming language will now be released every year, as opposed to the previous cycle of one and a half years. The change will affect the upcoming major version, Python 3.9, which will be moved forward by six months.
The newest update for PyTorch-NLP is here. The 0.5.0 update adds support for Python 3.5, PyTorch 1.2, rewrites the README to help new users build an NLP pipeline, and adds some new features. See how PyTorch-NLP helps with natural language processing and how PyTorch compares to similar machine learning frameworks such as TensorFlow.
Coding is fun, especially when your “weapon of choice” is Python! There are, however, some common mistakes that keep you from having a fun time with Python. Here’s a quick tutorial to help you steer away from the most common mistakes.
Have you already created an Alexa Skill? Are you interested? Francisco Rivas is a voice expert at Navteca and will give a talk at VoiceCon 2019 about how Alexa Skills can be developed with Python. We caught up with him for an interview to talk about Alexa, Python and the voice revolution we’re facing right now.
Keras version 2.3.0 is here, and it is the last major multi-backend release. Going forward, users are recommended to switch their code over to tf.keras in TensorFlow 2.0. This release brings API changes and a few breaking changes. Have a look under the hood and see what it includes, as well as what the plans are going forward.
Python is fit for a king. A report from IEEE Spectrum shows that Python reigns in the enterprise, web, and embedded programming landscapes. Where does Java fit into the rankings? Although Java holds down the fort as the top mobile programming language, C is not far behind, and Kotlin has been moving up the ranks as more and more Android developers turn to it for their mobile dev needs.
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.