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Python

The Ultimate Crash Course for Data Analysis, Machine Learning and Data Science, with Practical Computer Coding Exercises

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Python

Auteur(s): Computer Programming Academy
Narrateur(s): Timothy Burke
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À propos de cet audio

If you work in data science, or if you are hoping to make it your career, Python is a must!

It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.

Python has now toppled Java to become the most taught programming languages in universities and academia! Learning Python not only will make you a polyglot programmer, but also gives you a powerful tool in your arsenal to write scripts, create a web application, and open the door to the exciting fields of data science and machine learning.

In this audiobook, you will learn the fundamentals of Python. Here is a preview of what you’ll learn:

  • The Basics of Python Programming
  • Types of Variables
  • Methods/ Functions in Python
  • Python Operations
  • Flow Control
  • Class and Objects
  • Data Processing, Analysis, and Visualization
  • Applications of Machine Learning
  • Special Methods
  • And much, much more!

It’s important to know programming and coding in today’s world, and if you don’t know coding you are missing something important. Python is a great way to start learning to code.

What are you waiting for? A few dollars spent are the value of your skill improvement? It’s definitely possible to learn Python on your own. To learn it, steps by step, click on the "buy now" button and start learning!

©2019 Computer Programming Academy (P)2020 Computer Programming Academy
Programmation et développement de logiciels Real Analysis
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