Tweag

FEBRUARY 1, 2023

To better target people outside the Nix ecosystem, we are changing the name that emphasizes Jupyter environments (hence jupyenv). A new name, a new module based API, updated and improved documentation, a blog, tagged releases, and a matrix space. Join us on the journey to make Jupyter reproducible.

Python 84

Python Data Science Systems Coding 84

Data Engineering Podcast

JUNE 3, 2021

The tag line calls out the fact that Querybook is an IDE for "big data" What are the manifestations of that focus in the feature set and user experience? What are your thoughts on the potential for extending Querybook beyond SQL-oriented analysis and integrating something like Jupyter kernels?

SQL 100

SQL Building Big Data BI 100

DareData

NOVEMBER 28, 2023

Furthermore, with MLflow we can tag every registered model in three different categories: Staging, Production or Archived. Of course, all these decorators can be personalized: they can be given names, descriptions, specific names for each run, tags, etc. It can call tasks and other flows –named subflows.

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

APRIL 19, 2024

You can use other IDEs like Spyder, PyCharm, Eclipse, and Jupyter Notebook, allowing you to run your scripts inside its environment. To initiate a Python interactive session, type python in the command line or terminal and hit the ENTER key from the keyboard. An example of how to do this on Windows: C:users>python Python 3.7.2

Python 98

Python Programming Language Programming Coding 98

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. While these may have hierarchical or tagged structures, they require further processing to become fully structured. Watch our video explaining how data engineering works. Data lake on AWS.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JANUARY 30, 2019

Data scientists often use Jupyter or Zeppelin notebooks as convenient, open source, free and extensible tools supporting many open source languages and libraries for development, visualization and sharing.

Data Science 73

Data Science Machine Learning Scala Government 73

Rockset

JUNE 13, 2019

Datagrip , Jupyter , RStudio ) and data exploration / visualization (e.g. However, as we store our raw documentation files in XML format, we were able to add semantic XML parsing tags directly to our documentation codebase, which we then preprocess out of the docs and into our product at compile time on every release.

SQL 52

SQL Structured Data Building Raw Data 52