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

Author:Andrew Park [Park, Andrew]
Language: eng
Format: azw3, epub
Published: 2020-11-07T00:00:00+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.

The Basics of the Python Language

To understand a bit more about how Python can help us out while handling a Data Analysis, we first need to take a look at what the Python language is all about. The Python language is an object-oriented programming language (or OOP language), that is designed with the user in mind, while still providing us with the power that we need, and the extensions and libraries, that will make Data Analysis and machine learning as easy to work with as possible.

There are many benefits that come with the Python coding language, and this is one of the reasons why so many people like to learn how to code with this language compared to other options. First, this coding language was designed with the beginner in mind. There are a lot of coding languages that are hard to learn, and only more advanced programmers, those who have spent years in this kind of field, can learn how to use them.

This is not the case when we talk about the Python language. This one has been designed to work well for beginners. Even if you have never done any coding in Python before you will find that this language is easy to catch on to, and you will be able to write some complex codes, even ones with enough power to handle machine learning and data science, in no time at all.

Even though the Python language is an easy one to learn how to use, there is still a lot of power that comes with this language as well. This language is designed to take on some of those harder projects, the ones that may need a little extra power behind them. For example, there are a lot of extensions that come with Python that can make it work with machine learning, a process where we teach a model or a computer how to make decisions on its own.

Due to the many benefits that come with the Python coding language, there are many people who are interested in learning more about it, and how to make it work for their needs. This happens in many large communities, throughout the world, of people sharing their ideas, asking for help, and offering any advice you may need.

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