Webinar Recording: “How to Build Beautiful Data Apps with Datalore”
Have you ever struggled to create presentations for your stakeholders with your data science or data analysis results? Take a look at how you can nail this task with Report builder in Datalore.
New in Datalore Community and Pro: The Report Builder
The Report builder is a flexible new way to turn your notebooks into beautiful data reports. In this blogpost we’ll give a short introduction to the new features and will share more details in upcoming newsletters!
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 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: 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.
New in Datalore: Cell Redesign, PDF and Python File Export, Embedly Support, Twitter Challenge, and More
For the last month, we’ve been working on implementing a frequent user request to export notebooks into different types of files and to share code on other platforms. You might have also already noticed that the look of the editor has changed a bit. Read on to learn more about the recent updates in Datalore 👇🏻
New in Datalore: Publishing Update, Documentation, Pandas Tutorial and More
In January and February we introduced a lot of updates to Datalore: we integrated the UI for publishing notebooks, released the first version of Datalore’s documentation, updated the landing page, and introduced improvements for working with files from Python code.
Pandas Tutorial: 10 Popular Questions for Python Data Frames
Pandas is one of the first libraries you will learn about when you start working with Python for data analysis and data science. In this tutorial, we will answer 10 of the most frequently asked questions people have when working with pandas.
10 Tips for Working With Data in Datalore
Greetings from the Datalore team! In this blog post we’ll show you 10 tricks you can use to help you work more productively with data files in Datalore. Try Datalore! Before we start In Datalore, files are persistently attached to notebooks. After you create a notebook and upload some data, you will have access to the data even after you restart the kernel or close and reopen Datalore. Tip №1: Drag and drop files and folders Quickly add new files and folders in Datalore by opening the Attached files sidebar tab and dragging and dropping your files and folders there. Tip №2: Unzip files