How To Schedule a Jupyter Notebook
Schedule Jupyter notebooks with just a few clicks. Specify run intervals from the interface or use the cron string to configure a schedule.
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 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: 2021 Recap, Visualization Improvements, and More
It’s already 2022, and we are here with the first newsletter of the year! Read on to learn what the Datalore team has been up to recently.
Introducing Datalore Enterprise 2021.3: Database Connections, SQL Cells, Interactive Reports, and More
The focus of this release was to make it easy for data scientists to share their work and to facilitate fetching data from databases with SQL. Read on for the highlights of this release!
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 S
New in Datalore: Chart Cells, Spelling and Grammar Checking, Initialization Scripts, and More
Greetings from the Datalore team! Does the #Tesla stock price depend on Elon Musk’s mood? In this newsletter, we’ll share a new tutorial for sentiment analysis and talk about the new features that can improve your daily workflow in Datalore. Chart cells Could you imagine that working with visualizations in Python would be as easy as it is in spreadsheets? Last month we took a step further
Revamped Reactive Mode and How It Makes Your Notebooks Reproducible
Greetings from the Datalore team! Jupyter notebooks can get messy. Perhaps you have tried different things in one notebook, or maybe you have chunks of outdated code and variable declarations all over the place. This isn’t necessarily a sign that something is wrong. Rather, the tool was designed to allow you to work this way. For the last 3 years, our Datalore team has been experimenting wit
New in Datalore: Kernel Changes, New Automatic plots, Tutorials, and More
We have been busy this month laying the foundations for future features. This work will enable us to take some big steps with Datalore over the coming year.