Battle between working with Spyder vs Jupyter Notebook

Its been quite a sometime, i started with Data science where so many crowds are peeping and falling into this field towards the change in future technology.

Immediately as a fresher who tries to grow in like any other field which we love, I was in a rush and excitement to start my work in Data science. i searched few of the sites on how to start, where to start, how to code, what is needed for doing so, something which has a humongous talks on the outside world.

After i quickly brushed aside my curiosity , i found tools anaconda, python to start my work. Wondering at the first— why they have kept animals name for DS tools. Is there really any connection to the work ML or AI do ? Having few hundreds of questions popping up in my mind, I installed anaconda, there is a another instance which i see inside — spyder and Jupyter notebook.

Again comes with astonishing names, which looked quite interesting for me. I happily started to work with Spyder tool. Having explored the tool for a while, from my personal experience, i would say Spyder is a best tool for any amateur who is new to python coding.

In Spyder, you can find the variable explorer and Ipython console where u can literally taste the feel of data getting stored in the variables of different types, its forms and structures for ease in coding.

You can get to know the data types of a variable, tuple formats , looping structures. It is easily reliable on how to create/code any number nested loop structures just by looking into the variable explorer column.

On other hand, Jupyter gives the look of presenting the flow of code to any laymen people or business or any higher management for better visualization.

Here you don’t have get the full experience of how data is been stored to have ease in coding. Each time , you need the previous variable to see the type, or its structures how it look likes. And there is no need for re-running the code each time while opening for presentation purposes.

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