Colaboratory might be a bit more popular than Jupyter. We know about 210 links to it since March 2021 and only 206 links to Jupyter. 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.
. Kaggle: For competitions and datasets. . GitHub: For open source projects and collaboration. . Colab: Google’s platform for building and sharing machine learning models. - Source: dev.to / 9 days ago
Model execution is about making your AI model available to the end user. Great results only your laptop or Google Colab notebook won't cut it in a business. The AI model has to integrate with your business IT if it's going to deliver value. - Source: dev.to / 26 days ago
Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 4 months ago
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 5 months ago
Please head over to the Google Colab. - Source: dev.to / 6 months ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 21 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
Kaggle - Kaggle offers innovative business results and solutions to companies.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
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.
Explorium - Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.