Python Programming: 2 Books in 1: Python For Beginners & Machine Learning

Are you curious about joining the Python world? If you want start learning Python but you’re afraid that it’s too difficult, this book is for you.

This book explains Python in detail with the help of detailed coding examples that are usually not available in Python beginner-level books and that will make your journey easier.

Python is a robust programming language and supports both functional and object-oriented concepts. We took a lot of care and we tried to explain a lot of concepts that are important for the success of an entry-level programmer. Along with all these basic concepts, we have tried to give some practical examples which can help the reader understand the concepts better.

We will now discuss in detail the best parts of the book:

• Brief history of Python and different development environments available
• Variables and constants in detail, along with a lot of examples
• Detailed reading about conditionals and loops along with programming code
• Functions, modules, and object-oriented programming in detail
• Files and their operations in detail
• What probability, fundamental, statistics are and why you need to know them
• Why linear algebra is important and  how you can visualize linear algebra problems representations (with examples)
• How to load data for machine learning projects and CSV file
• What the types of machine learning are, and what their impacts are to amplify various elements of business operations
• What you need to know about Django
• K-Nearest Neighbors and K-Means Clustering – what they are and how you can use them for regression and classification

Plus, plenty of examples.

Do you think that learning all of this is an insurmountable obstacle?

Don’t worry because with this book you will have all the necessary material to be able to enter in the world of Python thanks to the simple but detailed explanations!

This book will change the way you look at Python and machine learning.