Python: 3 books in 1 : Python Basics for Beginners + Python Automation Techniqus and Web Scraping + Python for Data Science and Machine Learning
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Are you thinking about learning how to use the Python programming language? Thinking about getting started on a programming career?
Python is one of the easiest computer programming languages to learn and use, with simple syntax and easy rules to follow. While it is aimed at beginners to Python coding, this audiobook can also be used as a reference for those with a little more experience who want to brush up on their skills.
Once you have mastered this guide, you can move seamlessly onto more experienced topics but I cannot stress enough the importance of practicing the codes regularly.
Python is a language that offers an approachable syntax and great readability. The language resembles English, is simple when compared to other languages and is easier for people to learn. With only a little time, you can write simple programs.
Are you thinking about learning data science? Do you know how to code in Python and want to take your learning further? Then you've come to the right place.
Data is more available today than it ever has been and in much larger quantities than ever before. And it's only set to increase. Because of that, we need to evolve in how we process data, and that's where data science comes in.
But let's not forget machine learning, a subset of data science that offers us ways of examining and analyzing data to draw meaningful insights. Machine learning and data science are our future, and if you choose not to go down the route of learning it to an expert level, you should at least understand how it all works.
Python is the most popular computer programming language and by far the best for data science and machine learning. An intuitive language, it offers all the tools needed to analyze data, manipulate it, produce visualizations, and so much more. Don't slip behind. Data science is the future so embark on a journey you will never regret.
© 2024 Andy Vickler (Audiolibro): 9798882360589
Fecha de lanzamiento
Audiolibro: 4 de diciembre de 2024
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