Introducing 8 Extremely Powerful CPUs and GPUs to Datalore
Today we are introducing 8 new powerful CPU and GPU machines to Datalore Professional and a flexible new way to spend your computation quota – Datalore credits!
A Comparison of Python vs. R for Data Science
Learn about the difference between the typical use cases of R and Python for data science. Discover the tasks most suited to the languages, as well as how to use them in Datalore.
R vs. Python: Key Differences
Discover the similarities and differences between R and Python. Programming styles, data visualization and libraries for each programming language are covered.
How to Prepare Your Dataset for Machine Learning and Analysis
Learn about data preparation for machine learning and analysis, and avoid some of the most common problems real-world data can throw at you.
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
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 towards this idea and released a new type of cell – Chart cells. Chart cells allow you to create visualizations for any data frames you already have in your notebook with just a few clicks.
Announcing Datalore Enterprise – The Smart and Secure Jupyter Environment for Data Science Teams
Jupyter notebooks are arguably the most widely used tool in data science. However, when it comes to collaboration, resource management, and security...
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
Datalore Improvements in 2020: Datalore Professional, a Better Coding and UI Experience, and More
Last year presented an unexpected challenge for the world, one we all had to rise to. In 2020, we managed to launch Datalore Professional and deliver lots of great new features for our users. Here we’ve assembled a description of some of the most notable ones. Datalore Professional In November we launched Datalore Professional. It was designed for solving more complex tasks with larger datasets that need more powerful computation hardware. Here is a comparison table for Datalore Community and Datalore Professional. Take a closer look, and decide which plan best fits your needs! Community
New in Datalore: S3 Buckets Support, Workspace Files, Two Inspiring Research Posts and Other Updates
Though this is our final blog post of 2020, we have a bunch of new Datalore updates we’d like to share, including the results of two major studies we recently conducted.