Machine Learning Engineer | Researcher
23 March 2021
JupyterLab was developed to address some of Jupyter Notebooks’ shortcomings. Alongside the new file browser and the IDE-like experience, JupyterLab integrates many great extensions that enrich your working environment.
18 February 2021
We do not need any extension. We have a terminal. Thus, we can have ViM. And ViM has everything we need; it just takes some time to master. So, turn ViM into a Python IDE and use it side-by-side with Jupyter.
07 January 2021
Today, we’re looking at a new study that uses NLP to predict virus mutations, how to run your own Visual Studio Code server and a new book that should be part of your Machine Learning library. Finally, one question: ever wish you had an inefficient but somewhat legible collection of machine learning algorithms implemented exclusively in NumPy?
07 January 2021
The new Jupyter extension for VS Code comes with full support for our beloved .ipynb files, bringing interactive programming to the editor. Treat a program as a piece of literature, addressed to human beings rather than to a computer.
07 January 2021
On December 24, 2020, Project Jupyter released version 3.0 of JupyterLab as a gift to Data Scientists and Machine Learning Engineers. Read the story that examines what is new in this release and explores how you can use it as your primary development environment.
17 December 2020
The thirty-fourth annual conference was held this past week as a pure virtual event. This article summarizes the top three papers that shared the 2020 Best Paper Award.