Jupyter Announces The First Public Release Of Jupyter Visual Debugger

One of the most efficient tools for a data scientist, Jupyter plays a potential role in the scientific community when it comes to working on complex scientific computations. All these years, the users of JupyterLab have been requesting to add…

Why Jupyter Notebooks Are So Popular Among Data Scientists

Born out of IPython in 2014, Jupyter Notebook has seen an enthusiastic adoption among the data science community, to an extent where it has become a default environment for research. By definition, Jupyter is a free, open-source interactive web-based computational…

Best Practices For Version Control In Data Science Projects

For data-driven organisations today, collaboration in data science projects is key to staying ahead of the pack. However, version control in data science projects are not straightforward and need to be implemented with best practices for effortless collaboration. Jupyter Notebook…

Setting Up A Completely Free Jupyter Server For Data Science With AWS

Not all data science enthusiasts are lucky enough to have a machine that has the power to handle all kinds of data. Thanks to cloud services the only thing that would stop us now is connectivity, which is pretty decent…

5 Alternatives To Google Colab For Data Scientists

Google Colaboratory is a cloud service that can be used for free of cost, provided by Google. It supports free GPU and is based on Google Jupyter Notebooks environment. It provides a platform for anyone to develop deep learning applications…

JupyterLab – What is it?

The progress of the Python programming language has been immensely significant in the last ten years. According to IEEE Spectrum 2017 magazine, it is ranked no.1 among other popular programming languages. In addition to this, Python is slowly gaining traction…

Top 5 Alternatives to Jupyter Notebook

Jupyter Notebook, popularly known as Jupyter among data science aficionados, is an open-source interactive coding application which allows the user/programmer a plethora of options such as testing code, equations, data visualisations, text and many more, using the Python programming language.…

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