Bonus :
Datascientists
β deriving meaningful insight from large data available at their disposal thereby helping businesses understand & improve customer behaviour
π° Highly paid
Data Engineers
β Making meaningful data available to data scientists. They do this by writing data pipelines which aggregate data from various sources.
π° Highly paid
Python provides a powerful platform for working with data. This talk presents an overview of how to effectively approach optimization of numerical code in Python, touching on tools like numpy, pandas, scipy, cython, numba, & more.
Presentation on how you can write faster Python in your daily work. Briefly explain ways of profiling the code, discuss different code structures and show how they can be improved.
Creating quality content is hard & the only way to do it consistently is to have a solid process/framework.
Without it, you are lost & will quickly feel overwhelmed.
Here's is a small guide to how I manage everything
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1. { Generating Ideas }
β My primary source is my job where I get to learn & implement new things.
β Secondary sources are Twitter, Reddit, YouTube & Instagram
β I also try to take udemy or pluralsight courses to learn & upskill
2. { Documenting Ideas }
β The key is to write down and idea as soon as it hits you, so your mobile memo, a whatsapp group or notion mobile app is the best place
β Pen & paper also works if you are old school