Exploratory Data Analysis in Practice
How to use Exploratory Data Analysis to improve your data analytics? Definition, best practices, and more.
New in Datalore: BigQuery Support, SSH tunneling, and More
Learn how to connect your Jupyter Notebook to Google BigQuery in Datalore and try SSH tunneling to connect to remote databases!
Webinar Recording: “5 Tips for Combining Python and SQL in Datalore”
On Thursday, 28th July 2022, I gave a webinar about tips for combining Python and SQL in Datalore, our collaborative data science and data analytics platform. Here’s the recording for you to watch if you missed the live stream.
Webinar: I Can’t Believe It’s Not Real Data! An Introduction to Synthetic Data
Easy access to relevant, safe data is a major bottleneck hindering developers and data scientists. But what if you could generate your own accurate, privacy-protected, shareable data? Synthetic data can provide an inexpensive alternative to real sets of data that can’t be used due to its sensitivity or regulations. Such data is used for training machine learning models, testing, and performing quality assurance. In this webinar with Mason Egger, we'll learn about using Synthetic Data, and we’ll learn how to get started creating our own Synthetic Data. Join us on July 2
Datalore Enterprise 2022.2: Blazing Fast Docker-based Installation, Scheduled Runs, Collaboration on Attached Files, and More
Today we are happy to introduce the docker-based installation for Datalore Enterprise and a bunch of other ways to streamline your data science team work. Read on for the highlights of the release!
New in Datalore: Webinar, Parametrized SQL queries and More
In this blog post we’ll share a few updates to database support and SQL cells, announce the first Datalore webinar, and tell you how Datalore has become even more collaborative.
New in Datalore: Enterprise Release, Statistics Tab, Interactive Reports, and More
In the past few months, we’ve been working hard on improving the data exploration and collaboration workflows in Datalore. In this blog post, we’ll give you an overview of what’s new!
Introducing Datalore Enterprise 2022.1: Statistics Tab, Interactive Reports Upgrade, CSV File Editing, and More
Check out the newest data exploration features and enjoy the upgraded interactive reporting experience in Datalore Enterprise 2022.1.
How to Run SQL from Jupyter Notebook – Two Easy Ways
Learn two easy ways to use Python and SQL from the Jupyter notebooks interface and create SQL queries with a few lines of code.
Introducing SQL Cells and Database Connections to Datalore Notebooks!
What are the most common ways to query SQL databases from a Python notebook? They might include using Python SQL libraries such as PySQL or SQLAlchemy... We can now suggest a more effective method: combine native SQL cells and Python code in Datalore notebooks.
New in Datalore: R and Scala Notebooks, Google Cloud Bucket Mounting and More
Greetings from the Datalore team! Exciting news for those of you who love more than just Python: Datalore now also supports R and Scala notebooks! Read on to learn more about the updates. R and Scala support Although Python is the most popular language in data science, R and Scala also do a great job for data science tasks and have a rich user community. That’s why we added support for Scala and R kernels in Datalore, so now you can: Create R 0.4.11 and Scala 2.12 notebooksGet smart code completion for R and Scala codeInvite your team members to collaborate on code in real-timePub