The list can go on and on, but the point is that instead of doing the same task several times (maybe even doing it manua

On a closing remark, one of the things I love about Python is its open-source principles. There is a wide community of professionals who openly share their ideas and groundwork, help others, and create some great projects together. This idea was confusing for me at first as for a person from the traditional corporate world, but later I have realized its enormous potential. That is why I am trying to motivate people to learn Python and join this great community.

If this article gets some traction, I plan to publish a few more stories sharing (as much as I am allowed to) some useful details and pieces of code for particular examples I’ve been working on at Bain.

That’s the most exciting part for me, but the least often used, to be honest. Nevertheless, sometimes it could be quite important for success. The underlying reason is the same as for the previous argument — corporations have data and want insights. Some of these insights could not be uncovered without machine learning, as they are too complex to be manually found by human analysts. Some tasks of this type I have been doing:

Toggle animations with your voice or mouse. The animations are working with speech recognition. By allowing the use of your microphone, you can change the animation based on the input.

This produces neat-looking avatar stacks built using Tailwind. These common avatar stacks are found in many alleys of the internet. I’m sure you’ve seen them before somewhere already — why not create your own?

“The SpeechRecognition interface of the Web Speech API is the controller interface for the recognition service; this also handles the SpeechRecognitionEvent sent from the recognition service.” — Mozilla documentation.

It happened many times in my practice when I simply needed to draw some charts based on such large databases as ticket sales distribution, customer information, SKU data, and so on. It was crucial to show the full picture instead of some sample, so Big Data-processing skills were necessary.

Become proficient at understanding 3D modeling and 3D physics for the animations — You’ll need the latter to understand how to create smooth transitions for the flame that feel intuitive.

Here I am talking not only about the traditional definition of Big Data (3 Vs) but also about any data too big to fit into Excel (over ~1 mln rows). This is something that I also have encountered a lot. The majority of large corporations (not only digitally-advanced ones) have already generated enough data to call it “Big”, and they predictably want to get insights from this data. So when traditional business analysts are unable to do it, these corporations turn to data scientists for answers. I understand that some of these questions may be extremely complicated and indeed require the data specialists’ involvement, but is it always the case? I believe that it’s not. Sometimes the task is as easy as to open a few 5Gb datasets, merge them, make some pivots, and draw the slides/ charts on their base. Of course, it may sound like a problem if you only know how to use Excel, but if you are a Python-user, you would have easily cracked this task and saved some money and time for your organization.

“The SpeechRecognition interface of the Web Speech API is the controller interface for the recognition service; this also handles the SpeechRecognitionEvent sent from the recognition service.” — Mozilla documentation.

“Tailwind CSS is a highly customizable, low-level CSS framework that gives you all of the building blocks you need to build bespoke designs without any annoying opinionated styles you have to fight to override.” — official Tailwind website.

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the compromises are one-sided. You shouldn’t be the only one putting effort into fixing your relationship problems. You shouldn’t be the only one apologizing when you do wrong or agreeing to disagree during arguments. You shouldn’t be the only one trying to set things right. You should be working together. You should be on the same side. You should both want to fight for the relationship, or the relationship isn’t worth fighting for at all.

Learn about how you can effectively navigate your data science career, or better yet, expand your intuition on the origins of the human mind and consciousness while you wait for your training loss to converge.

Could these tasks be solved in Excel using linear regression? Well, with some degree of creativity, maybe…but I will not be sure about the quality of such work. More advanced modeling in Python will certainly give us higher flexibility and very likely better results.

If this article gets some traction, I plan to publish a few more stories sharing (as much as I am allowed to) some useful details and pieces of code for particular examples I’ve been working on at Bain.