Text data the most common form of information on the Internet, whether it be reviews, tweets or web pages. Natural Language Processing (NLP) is a powerful technology that helps you derive immense value from that data. In this article, we will look at the most popular Python NLP libraries, their features, pros, cons, and use cases.
Django describes itself as "the web framework for perfectionists with deadlines". It was designed to help Python developers take applications from concept to completion as quickly as possible. Learn advantages and disadvantages of Django.
Django is powerful web framework, but with power comes responsibility. In this article, we will cover common mistakes that are even seasoned Django developers make, yet most successful Django projects need to deal with these sooner or later. This checklist should useful even if you’re a skilled Django developer because mistakes, like not adding indexes on models or inconsistent data validation, aren’t just limited to new developers.
This year EuroPython featured 120 talks and 6 parallel tracks on almost every topic imaginable, including some that we wouldn’t have been able to imagine. In this post, I want to share with you my favorite 10 talks that I believe can make you a better Python developer.
Up until relatively recently, digital transformation struggled to penetrate the real estate sector in any meaningful way.In this post we will review what are the trends in PropTech and how Python fits into PropTech startup development techstack.
In times when computer programing is becoming more and more accessible due to the growing number of coding schools, online resources and bootcamps, this question seems to go viral - which computer language should I learn first or which language should I choose for my use case. This situation is no different for Ruby and Python.