Top 10 Python Open Source Projects On GitHub: 2019 [Ed: Analytics India Mag continues to perpetuate Microsoft lies; what Microsoft does not control in FOSS does not exist?]

Python is one of the most favoured languages by data scientists. In fact, over 75% of respondents claim that Python is one of the most important skillsets for a data science practitioner. For the first time ever, Python passed Java as the second-most popular language on GitHub by repository contributors. Also, this year, the use of Jupyter Notebooks has seen more than 100% growth year-over-year for the last three years. Take a look at the top 10 Python open source projects in GitHub in 2019…

Python's Built In IDE Isn't Just Sitting IDLE

Summary

One of the first challenges that new programmers are faced with is figuring out what editing environment to use. For the past 20 years, Python has had an easy answer to that question in the form of IDLE. In this episode Tal Einat helps us explore its history, the ways it is used, how it was built, and what is in store for its future. Even if you have never used the IDLE editor yourself, it is still an important piece of Python’s strength and history, and this conversation helps to highlight why that is.

Ace Python Interviews — a new, free course to help you get a better job

It’s hard to exaggerate just how hot Python is right now. Lots of companies — from small startups to the Fortune 100 — have realized that Python allows them to do more in less time, and with less code. This means, of course, that companies are scrambling to hire Python developers. There’s tons of demand, and not nearly enough supply.

In other words: Now is a great time to be a Python developer! There are opportunities in just about every field, from Web development to system administration, devops to machine learning, automated testing to financial calculations.

If you’re going to get a Python job, you’ll first have to pass a Python job interview. And like everyone else, you’ll likely prepare for the interview by searching online for “Python interview questions,” or the like.

The good news: There are lots of sites offering Python interview questions and answers.

The bad news: I’ve looked at a lot of them, and they are terrible. The questions are often superficial, and the answers are often wrong or outdated. Plus, a programming interview isn’t a multiple-choice test, in which getting the right answer is the point. Rather, interviewers use the time with you to evaluate your depth of understanding, your coding process, and your ability to adapt as specifications change.

Guide to the Latest Trend in Fintech Area - RegTech

Here comes RegTech — a new technology field that ensures that companies, especially tech firms, act in accordance with implemented government rules and regulations.

The first time we came across the term RegTech was when our team was delivering Python development services to Clear Minds — an investment platform that acts as a digital adviser for people who want to make profitable investments in the long run. During the final stages of development, in May 2018, the GDPR came out.

If you’re lucky enough to have never dealt with GDPR, I will briefly summarize what it is. It’s a regulation created by the EU that forces companies that work with customers’ personal data — in our case, tech companies — to protect the information they capture. Namely, they cannot disclose it to third parties, and must even delete it if a customer asks them to. GDPR is the reason why your email boxes were recently bombarded with new Terms & Conditions and Privacy Policies of all the services you were using or subscribed to.

NumPy, SciPy, and Pandas: Correlation With Python

Correlation coefficients quantify the association between variables or features of a dataset. These statistics are of high importance for science and technology, and Python has great tools that you can use to calculate them. SciPy, NumPy, and Pandas correlation methods are fast, comprehensive, and well-documented.

Using a custom domain for Django app hosted on AWS EC2

We already know how to host a Django app for free on Amazon (AWS) EC2 instance with Gunicorn and Nginx. But we were accessing the application using public IP. IP addresses are hard to remember and are not user-friendly.

Domain names are easy to remember and gives a unique identity to your web application or website. In this article, we will see how to use a custom domain purchased from GoDaddy to access our Django web application.

The public IP address assigned to our EC2 instance can be changed if we restart the instance. We need to have an IP address that does not change every time our EC2 instance restarts. Elastic IP comes to rescue here.

Python 3.7.5 : About Django REST framework.

Python 3.7.5 : Django admin shell by Grzegorz Tężycki.

Today I tested another python package for Django named django-admin-shell.

10 years of Mopidy

Ten years ago today, on December 23, 2009, Mopidy was born. While chatting with my friend and then-colleague Johannes Knutsen, we came up with the idea of building an MPD server that could play music from Spotify instead of local files.

This is the story of the first decade of Mopidy.

After a brief discussion of how it could work and what we could build upon, Johannes came up with the name “Mopidy.” The name is, maybe quite obviously, a combination of the consonants from “MPD” combined with the vowels from “Spotify.” At the same time, the name is different enough from both of its origins not to be mixed up with them. Even during the first few hours we had some thoughts about maybe adding file playback and support for other backends in the future. Thus we quickly appreciated that the “Mopidy” name would still work, even if Spotify wasn’t always the sole focus of the project.

Within a couple of hours we had a Git repo with some plans written up. We joined the #mopidy IRC channel on Freenode and we had recruited Thomas Adamcik to the project. Over the next few years, he designed many of our most essential components, including the extension system. Today, ten years later, Thomas is still involved with Mopidy and many of its extensions.

After a couple of days, it worked! We had built a primitive MPD server in Python that at least worked with the Sonata MPD client. On the backend side, we used the reverse-engineered “despotify” library to interface with Spotify as it already had some Python bindings available. For all three of us, coming mostly from web development and Django, I believe we already had a feeling of achievement and expanding horizons. If we could pull this off, we could build anything.

The story of Mopidy is a story of thousands of small iterative improvements that, over time, add up to something far greater than the sum of its parts. It was a hack, but a hack with good test coverage from the very start, making changes and iteration safe and joyful.