The JetBrains Blog
PyCharm 2021.1.1: Improved Indexing and Jupyter Notebooks Experience
The first update of PyCharm 2021.1 brings some important bug fixes, including one that addresses an inability to find occurrences in files and in paths. It also provides improvements to the experience of working with Jupyter Notebooks, along with updates to a variety of other features. DOWNLOAD PYCHARM 2021.1.1 Here are the major improvements: The complete list of improvements
Kotlin Kernel for Jupyter Notebook, v0.9.0
This update of the Kotlin kernel for Jupyter Notebook primarily targets library authors and enables them to easily integrate Kotlin libraries with Jupyter notebooks. It also includes an upgrade of the Kotlin compiler to version 1.5.0, as well as bug fixes and performance improvements. pip installConda install The old way to add library integrations As you may know, it was already possible to inte
We Downloaded 10,000,000 Jupyter Notebooks From Github – This Is What We Learned
Here’s how we used the hundreds of thousands of publicly accessible repos on GitHub to learn more about the current state of data science.
Datalore Pro: Online Jupyter Notebooks with GPU Access, Hosted by JetBrains
We have some really exciting news for you – we’ve introduced a new Datalore plan, called Datalore Professional. This new plan comes with increased processing power and added storage for even faster calculation of bigger datasets.
Datalore by JetBrains: Online Jupyter Notebooks Editor With PyCharm’s Code Insight
If you work with Jupyter Notebooks and want to run code, produce heavy visualizations, and render markdown online – give Datalore a try. It comes with cloud storage, real-time collaboration, notebook publishing, and PyCharm’s code insight. In this blog post we’ll give you a quick introduction to what you can do in Datalore. Try Datalore Jupyter notebooks in the cloud Once you register a Datalore
Kotlin Kernel for Jupyter Notebook, v0.8
Hi folks! Today we have released a new version of the Kotlin kernel for Jupyter Notebook, and if you are experimenting with data — give notebooks with Kotlin kernel a try. One of the great things about Jupyter Notebook is its interactive nature. It allows you to quickly get familiar with your data, try out some ideas, and run some experiments. Kotlin kernel helps you iterate over your ideas ev
Jupyter, PyCharm and Pizza
Hi there! Have you tried Jupyter Notebooks integration in PyCharm 2019.2? Not yet? Then let me show you what it looks like! In this blog post, we're going to explore some data using PyCharm and its Jupyter Notebook integration. First, of course, we'll need said data. Whenever I need a new dataset to play with, I typically head to Kaggle where I'm sure to find something interesting to toy with. Thi
How We Did the New Jupyter Support: Interview with Anton Bragin
Data science and Jupyter Notebooks are obviously super-big in Python. PyCharm has had Jupyter support for several years but we needed to do a re-think, to better align our “IDE for Python Professionals” mission with Jupyter workflows. PyCharm 2019.1 delivers that re-think with completely re-implemented Jupyter Notebook support. We’re proud of it and decided to interview Anton Bragin, our lead d
PyCharm 2021.1.2 is out!
The second minor release of PyCharm 2021.1 contains several bug fixes in different functional areas, from the overall performance and working with Jupyter Notebooks to working with databases. Take a look at what’s inside! Download PyCharm 2021.1.2 Performance Jupyter Notebook Editing Support for the older versions of Oracle DB Frontend development Download PyCharm 2021.1.2 For the full l
New in Datalore: Automatic plots, Terminal, Pip package manager, and Community plan changes
Read this blog post to learn about how we improved the plotting workflow, integrated Terminal and Pip package manager, and adjusted the features on the Community plan.
Big Data World, Part 2: Roles
In this part, we’ll talk about the roles of people working with Big Data. All these roles are data-centric, but they’re very different. Let’s describe them in broad brushstrokes to understand better who are those people we target.