Jupyter Notebook should be an integral component of any Python data scientist’s toolbox. It’s great for prototyping and sharing notebooks with visualizations. You can work in your browser, that it’s a way of quickly testing some code or exploring my data and that it’s easy to combine code, text, images, and much more all in one place. Also, the output options are really great.
You can refer to the Data Scientist as it will help you in preparing for a career as a Data Scientist and highlights concepts and tools you will need during the entire data science pipeline, from asking the right kinds of questions to making conclusions and publishing results. It will also help you in developing a portfolio of projects that you can showcase during interviews. And if you are more into videos then do check out the following video tutorial which will help you in mastering in the field of Data Science:
If you are a beginner and want to know more about Python and R programming language then do refer the following video tutorials:
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