Archives for jupyter notebook - Page 2
In this article, we will explore how easily and effortlessly we can use Voila to create reports and dashboards.
The post Complete Guide to Voila to Turn a Jupyter Notebook Into a Standalone Web Application appeared first on Analytics India Magazine.
In this article, we will explore how easily and effortlessly we can use Voila to create reports and dashboards.
The post Complete Guide to Voila to Turn a Jupyter Notebook Into a Standalone Web Application appeared first on Analytics India Magazine.
Since we have recently shared an article on tricks and hacks of Google Colab, it is only fair that similar information is explored around Jupyter notebook to help data scientists navigate it easily. With the period of lockdown getting extended further, the available time could be a boon for several data scientists to become more…
The post Top Jupyter Hacks & Tricks You Should Try appeared first on Analytics India Magazine.
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 a visual debugger so that the users need not switch into a different tool for…
The post Jupyter Announces The First Public Release Of Jupyter Visual Debugger appeared first on Analytics India Magazine.
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 notebook. Computational notebooks have been around for several years; however, Jupyter, in particular, has exploded…
The post Why Jupyter Notebooks Are So Popular Among Data Scientists appeared first on Analytics India Magazine.
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 Under Version Control Version control of data science projects on Jupyter Notebooks are tedious. That’s…
The post Best Practices For Version Control In Data Science Projects appeared first on Analytics India Magazine.
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 nowadays. So let us exploit all the free resources to learn and prosper before getting…
The post Setting Up A Completely Free Jupyter Server For Data Science With AWS appeared first on Analytics India Magazine.
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 using commonly used libraries such as PyTorch, TensorFlow and Keras. It provides a way for…
The post 5 Alternatives To Google Colab For Data Scientists appeared first on Analytics India Magazine.