Python Programming: The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects - 4 Books in 1 by Andrew Park

Python Programming: The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects - 4 Books in 1 by Andrew Park

Author:Andrew Park [Park, Andrew]
Language: eng
Format: azw3
Published: 2020-01-15T00:00:00+00:00


Chapter 2 Why Python for Data Analysis?

The next thing that we need to spend some of our time on in this guidebook is the Python language. There are a lot of options that you can choose when working on your own Data Analysis, and bringing out all of these tools can make a big difference in how much information you can get out of your analysis. Nevertheless, if you want to pick a programming language that is easy to learn, has a lot of power, and can handle pretty much all of the tasks that you need to handle with Data Analysis and machine learning, then Python is the choice for you. Let’s dive into the Python language a little bit and see how this language can be used to help us see some great results with our Data Analysis.



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