Publisher's Synopsis
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Learning and working with Python has a handful of benefits.For starters, it is extremely easy to learn, and can be used as a stepping stone into other programming languages and frameworks like PERL, C, C++, and more. If you're an absolute beginner and this is your first time working with any type of coding language, that's something you definitely want. Once you complete your training you'll have many opportunities to grow if need be, instead of being confined to a single language.Python is popular so it's widely used. So popular, that it's used by a number of tech giants like Google, Instagram, Pinterest, Yahoo!, Disney, IBM, Nokia, and more. Once you learn Python, you'll never have a shortage of ways to utilize the skill. Not to mention, because a lot of big companies rely on the language, you can make good money as a Python developer.Python can be used in the development of prototypes, and it can help speed up the concept to creation process because it is so easy to use and read. Developers of all skill levels tend to stay more organized and productive when working with Python when compared to languages like C# and Java.Python is easy to read, even if you're not a skilled programmer so it is ideal for use among multi-programmer and large development teams, especially those with coding inexperienced team members.This all is possible with the help of this three-book bundle, beginners, intermediate and expert guides! Don't be fooled by other books on the market. They only take a brief look into Python, showing some of the topics but never going deep into the topics and actually showing you how to work on the code and make it yours. This guidebook goes more in depth about the Python language. This is detailed, scientific information compiled together by experts in an easy to read fashion.In this Python guide, What you'll learn: Python Programming: Absolute Complete Beginner's Guide to Learn and Understand Python Programming What is Python Programming? How to Start Learning Python? Best Data Visualizations How to Create a Dataset with Visualization ? Making Predictions with Algorithms Examples of coding languages Decision tree python code Neural Networks Artificial Neural Networks (ANN)Python Programming: The Ultimate Intermediate Guide to Learn Python Step by Step What Is Machine Learning ? Supervised Machine Learning Unsupervised Machine Learning The Basics Machine Learning with Python How to Setup a Python Environment for Machine Learning? Data Pre-processing with Machine Learning Working with Linear Regression in Machine Learning Using a Decision Tree for Regression Random Forest for Regression Working with a Support Vector Regression What is Naive Bayes and How Does It Work with Machine Learning? K-Nearest Neighbours Algorithm for Classification Python Programming: The Ultimate Expert Guide to Learn Python Step-by-Step Working with Inheritances in Python Arguments in Python Namespace and Python Working with Iterators in Python and What These Mean Exception Handling and How to Create a Unique Code with Them? The Python Generators What are Closures in Python and Why are they so Important ? Working with Regular Expressions What are the Conditional Statements and When Will I Need to Use Them? Do I Need to Learn Assert Handling in This Language How to Work with Loops in Your Python Code ? When to Use User-Defined Functions in Your Code Working with Memorization in Python ☆☆★★So Buy Your Copy Right Now★☆☆★★