You’ve probably learned how to make your own functions from our applied labs or from other resources, and know how to use them, but Python has included the most common ones for use in any program. The way you call them is the same was you call your own functions, but without having to define them first. We're going to take a look at the most important ones now, but be sure to look at the Python documentation for other useful functions that are available for use.

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Efficiency
The more data you have to process, the more important it is to manage memory. Python has generators to help in this area, as expressions and functions. Generators iterate through a process of things one item at time. The normal iterative process of lists involves the use of lists, and a list uses a lot of memory. One way to handle long chained processes is to use a generator to grab source data one at a time, and pass each through the processing chain. This comes in handy if you need to migrate data from a website to another, and applications dealing with large sets of data.

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We are using four criteria to evaluate the myth in Data Science learning.

 
 

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Python’s simplicity and ease of use can mislead those who are new to the language, causing them to miss the nuance, and underestimating the power of the Python language. With that in mind, I present you a list of 5 most common mistakes while learning Python.

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There are 8 core data science competencies which are required for becoming a data scientist.

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PYTHON AND R. WHICH ONE?

 

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Introducing sh

Yesterday, I was surfing the web for a way to use Python for shell scripting, and I bumped into this project called sh. It is a package that allows the passing of parameters and handle outputs. Basically, it’s wrapper around a subprocess that can call out any program as if it were function.

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Have you ever learned how to code?  Are you seeking new skill to get a better job?

 
If your schedule allows it, you probably have time to learn Python. Python is a tool that will provide you the necessary steps to improving your job marketability. I will be showing you why Python is the strongest programming language in this article.
 

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