Название: Python Programming: 2 Books in 1: Python For Beginners & Machine Learning Автор: Kevin Cooper
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 281
Язык: английский
Формат: pdf, epub
Размер: 11.7 MB
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.
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