The latest updates on all JetBrains products and topics
Whether you’re starting a new project or expanding an existing one, as a data scientist, you’re always on the lookout for new material to explore. Knowing where to get data for data science projects can be challenging, and finding “good data” can be even more difficult. In this article, we’ll look at what makes “good data”, what format that data might be in, where to find it, and what the next steps are.
Introduction If you’re new to web development and have only recently heard of “Frameworks” as a method of speeding up your application development, then you’re in the right place. Today, we’ll explore the two most popular web frameworks in the Python ecosystem currently, namely Django and FastAPI…
PyCharm 2023.3 introduces a plethora of features for Django development: Django Structure tool window, Live preview for Django templates, enhancements in code assistance for the Django REST framework, and more! This release is poised to enhance the productivity of developers work…
Hello everyone! As 2023 draws to a close, our reasons for celebration extend well beyond the upcoming holidays and vacation. Exciting developments await in the technology realm, including the unveiling of Python 3.12 and the much-anticipated Django 5.0. This latest release of our Python-based web…
Discover the Django web framework. Understand its key benefits for rapid, secure, and scalable web app development.
Python 3.12 made its debut on October 2, 2023, in keeping with the annual tradition of releasing new versions every October. This latest iteration introduces a range of new features and enhancements that we will delve into in this blog post. For a comprehensive list of changes, you can refer to t…
This is a guest blog post by Adrian Boguszewski, author of OpenCV Image Viewer Plugin. The average programmer makes 70 errors per 1,000 lines of code and spends 75% of their time on debugging (source). In computer vision (CV), this process may involve not only fixing the code but also checking th…
Today we’re delighted to be chatting with Brian Okken again. If you missed the last time, you can check out our webinar on Productive Testing with PyCharm at your convenience. Brian wears many hats including being a host for @PythonBytes, @PythonPeople and @PythonTest podcasts. Brian is also the aut…
Python has a rich ecosystem of quality, mature tooling: linters, formatters, type checkers, etc. Each of these has decent performance, but what if the tooling was fast? Like, really fast – as in, instantaneous? This is the argument posed by Charlie Marsh when he introduced Ruff: a linter with the…
Sooner or later in your data science journey, you’ll hit a point where you need to get data from a database. However, making the leap from reading a locally-stored CSV file into pandas to connecting to and querying databases can be a daunting task. In the first of a series of blog posts, we’ll explo…
If you’re involved in machine learning at all, you can’t have missed the plethora of groundbreaking models that have come out in past months. Two of the most hyped models are Whisper, OpenAI’s state-of-the-art speech recognition model, and Stable Diffusion, Stability AI’s groundbreaking image genera…
Making mistakes in your code is a pain, and debugging in Jupyter notebooks can get messy. While Jupyter helpfully displays the full Python traceback, which highlights the lines that have failed, working out exactly what caused the issue in your code can be tricky. I usually end up pulling my code ap…
