Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Atom
Visual Studio Code
Sublime Text
Vim
Notepad++
Microsoft Visual Studio
Netbeans
Brackets
Jupyter| Categories |
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|---|---|
| Website | jupyter.org |
Jupyter might be a bit more popular than Atom. We know about 200 links to it since March 2021 and only 152 links to Atom. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 18 days ago
Talking to some colleagues and friends lately gathering some ideas of a nice Machine Learning project to build, I’ve seen that there’s a gap of knowledge in terms of how do one exactly uses a Machine Learning model trained? Just imagine yourself building a model to solve some problem, you are probably using Jupyter Notebook to perform some data clean up, perform some normalization and further tests. Then you... - Source: dev.to / about 2 months ago
This year I decided to commit to a set of tools on day 1 (Polars and Jupyter) and use them for the whole challenge. It seemed silly to do a whole new meandering walkthrough, so instead I'll highlight a few things that stuck out after finishing the challenge and sitting on it for a few days. Here we go! - Source: dev.to / 2 months ago
The resulting technical reports can be in the formats: Markdown, Pod6, or Org-mode. Or just Jupyter notebooks. Source: 4 months ago
Another effective way to use comments is through literate programming. In this programming style, comments take the spotlight: the source code contains more prose than executable code. This is useful when explaining the algorithm is more important than reading it, as in academic research and data analysis. Not surprisingly, it is the paradigm of popular tools like Jupyter Notebook and Quarto. - Source: dev.to / 5 months ago
Before we dive into writing JavaScript code, let's ensure we have the right setup. We'll need a text editor and a web browser. Popular choices include Visual Studio Code, Sublime Text, or Atom. Pick your favourite editor, install it, and make sure you have a reliable web browser like Chrome, Firefox, or Safari at your fingertips. - Source: dev.to / 10 months ago
Now that microsoft has sunset atom.io on github VS Code will drop in usage and numbers worldwide. Source: 12 months ago
A text editor: You'll need a text editor to write your code. Some popular options include Visual Studio Code (https://code.visualstudio.com/), Neovim (https://neovim.io/), and Sublime Text (https://www.sublimetext.com/). - Source: dev.to / about 1 year ago
This is something all popular Integrated Development Environments have, VS Code, JetBrains IDE's, Atom, Sublime so you can definitely try it out. - Source: dev.to / about 2 years ago
I like http://atom.io but use it for python, js, css, svelte, sql, .git files pretty solid for what I need. Source: about 1 year ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Vim - Highly configurable text editor built to enable efficient text editing
