If you have solved some sort of coding challenges online that have to do with lists, you know that you usually need to have access to indices and also elements in it.
You may also have to do that while you are working on your tasks.
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Python is known to be the language that gives you the ability to write a few lines of code that can do a lot of things.
Just a few Python lines can be enough to pull data from an API that you can then also visualize in a fancy diagram.
Or even a single line of code can be enough for you to do plenty of things.
There are a lot of Python one-liners online that you can find.
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In the last article, I shared a simple way that you can use to find the first element in a list without using the index 0.
In case you haven’t read it and you do not want to read it now, here is a short recap that is also going to be helpful in this article.
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If you have a string that you read which you need to convert into a two-dimensional array, then you probably think of dealing with complicated regular expressions.
You start to also think about the edge cases: what if an opening or closing bracket is not included, or what if there is a missing comma, etc.
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Data Science is one of the hottest fields right now, with many job openings even during this pandemic.
Such need of people with data science skills inspires many people to find resources that they can use and learn from to learn and prepare to get such jobs.
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Img source: bitlather.com
The number of apps that claim to increase your level of productivity is constantly in the rise. Most of them tend to promote themselves as tools that can help you capture the tasks that you need to do. However, they do not either emphasize nor seem to promote another important factor: Keeping a did-it list, about the history of finished tasks. This might sound a bit weird and unheard, but it is something very helpful that can have a considerable impact on the levels of productivity. Continue reading
