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!Read article
Webinar Recording: “Is Your Analysis Reproducible? 5 Ways to Make Your Work Bulletproof With Datalore”
On Thursday, 23rd June 2022, I gave a webinar about how to build reproducibility into your work using Datalore, our cloud-based data science and data analytics platform. Here’s the recording for you to watch if you missed the live stream. https://www.youtube.com/watch?v=MIctg07feIc Description Have you ever had the experience of opening up an old analysis you did in Jupyter and being co
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.
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.
Introducing Interactive Reports to Datalore!
We talk and write a lot about sharing in Datalore as we truly believe in the collaborative nature of data workflows. Today we are happy to introduce a new feature for the result sharing workflow – publishing of Interactive reports.
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: 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