The latest updates on all JetBrains products and topics
Discover global trends, learner aspirations, AI advancements, and other factors shaping the field to stay ahead of the curve.
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.
Today, we’re introducing a redesign that aims to make Datalore notebooks appear simpler, cleaner, and ultimately more zen.
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…
The Gateway to Pandas course has been released on JetBrains Marketplace.
Data science has been the hottest thing for a while now, but it still continues to be a major talking point even today. In fact, according to the U.S. Bureau of Labor Statistics, it’s estimated that around 11.5 million data science jobs will be generated by 2026. We decided to look further into h…
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.
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.
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…
Learn about data preparation for machine learning and analysis, and avoid some of the most common problems real-world data can throw at you.
Find out how to conduct ad hoc analysis using Python and Datalore.
How to use Exploratory Data Analysis to improve your data analytics? Definition, best practices, and more.
