The JetBrains Blog
The latest updates on all JetBrains products and topics
JetBrains Academy’s New Projects and Topics: August Update
Extra Datalore Credits for Flexible CPU and GPU Computing Power
Different analytical tasks have different computing requirements. Depending on the complexity of your project, the computing power you need can vary significantly from month to month. That's why we're introducing the option to purchase extra Datalore credits. Read more.
JetBrains Academy’s New Projects and Topics: July Update
JetBrains Academy’s New Projects and Topics: June Update
New projects for Python, Frontend, Kotlin, and Java learners are hot off the press.
JetBrains Academy’s New Projects and Topics: May Update
We've released our May content update including 9 new projects on Python, Kotlin, Java, Flask, Android, Bash, and more.
Picking the Perfect Data Visualization: Barplots
Use barplots to gain insight into the differences between groups.
How to Read From MySQL Database to pandas With Datalore
Reading data from a MySQL database to a pandas dataframe can be intimidating. Establishing a connection, keeping the credentials safe, creating an SQL query within a string variable, and saving the result to pandas is not a trivial task.
New in Datalore 2023: Run API and a Number of Performance Improvements
Since January 2023, we have rolled out a number of new features for our Community and Professional users. The list includes the long-awaited Datalore Run API, a more robust reactive kernel, a whole array of Powerful CPUs and GPUs, Datalore credits for Professional users, and a number of performance improvements.
Introducing the Software, Data and Technology Program With Constructor University
Looking for a future career in the tech industry? JetBrains Academy and Constructor University have something special for you.
Can data science collaboration be secure? [New Datalore Case Study]
Working with financial data is not a trivial task, as you can’t just access a production database or a data lake, download the data, and work on it. You have to ensure secure access to the data and produce insights that are easy to share as well.
Using PyCharm to Read Data From a MySQL DataBase Into pandas
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…