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5 Concepts of Python DATA Science

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5 Concepts of Python DATA Science

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  1. 5 Concepts of Python DATA Science Designed by BookMyEssay

  2. Basically, python is a general-purpose programming language for data science which is used by various methods to get the result. It is syntax simplicity and operability which makes python popular. Python mainly support multiple programming paradigms which includes object oriented, imperative, functional and procedural etc. Designed by BookMyEssay

  3. Here We are Writing the Main Concepts of Python Designed by BookMyEssay

  4. 1. One- Line List Comprehension: While working with the Python, you need to make the list every time to define the data in perfect way. In Python you will get a simple way to define the list with the help of single line code. By using this single line code, you will get the best result. Designed by BookMyEssay

  5. 2. Lambda Function: When you are working with programming language for data science. You need to write the function multiple times to get the result. But Python gives a simple and easiest way to write the function single time. Designed by BookMyEssay

  6. 3. Map and Filter: In the python when you are using the Lambda function, you get a best option, or you can say that a power tool which is map and filter. With the help of map, you can easily get the result in the entire program by doing small operation. Designed by BookMyEssay

  7. 4. Arrange and Linspace: In this language you get the easy and simple way to create an array by using the arrange and Linspace function. It delivers the easiest way to the data scientist because they can set the complete data in the various kinds of arrays. Designed by BookMyEssay

  8. 5. Axis: Every person knows the axis that means some lines dropped on the column in the matrix. Here you can define the axis in the simple’s form like: Df. Drop(‘column A’,> Designed by BookMyEssay

  9. Read More at BookMyEssay Site https://www.bookmyessay.com Designed by BookMyEssay

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