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: “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
5 Ways to Collaborate Effectively as a Data Science Team
Data science projects can be complex, consisting of many parts, such as notebooks, data, environments, and scripts, and it can be challenging for data science teams to effectively collaborate on them.
How to Get the Best Autocomplete in Jupyter Notebooks and More
In this blog post we’ll explain 2 ways to access autocompletion and other coding assistance features for your Jupyter notebooks.
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 completely unable to reproduce the results? Maybe you can't work out where you saved the data you used, or what version of a core dependency you had in your environment. Perhaps your Jupyter notebook is
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.