Python: This Book Includes: Learn Python Programming for Beginners, Python Crash Course and Python for Data Analysis. Create Your Business Projects Immediately Thanks to This Step by Step Guide

Scratch, Jason

ISBN 10: 1914183037 / ISBN 13: 9781914183034

Edité par Barbara Di Stanislao ltd, 2020

A propos de cet article

304 pages. 9.02x5.98x0.64 inches. In Stock. N° de réf. du vendeur zk1914183037

Détails bibliographiques

Titre : Python: This Book Includes: Learn Python ...

Éditeur : Barbara Di Stanislao ltd

Date d'édition : 2020

Reliure : Paperback

Etat : Brand New

A propos de ce titre

Synopsis :

Do want to learn Python Machine Learning and start implementing models? Are you looking to learn Data Science and how to leverage Python for it?


In this book you can learn all about Python machine learning, data science, data ysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days!


This is a complete Python guide with 3 Manuscripts in 1 book:


1 .Learn Python Programming
2 .Python Crash Course
3. Python for Data ysis


A great opportunity for you: simplicity, wide selection of topics to learn, practical exercises and quick and selected examples.


In Manuscript 1 "Learn Python Programming" you'll learn: Understanding Python Why the name "Python"? Python Glossary Python Installation Python Data Types And much more...


In Manuscript 2 "Python Crash Course" you'll learn:

Evolution of Python Introduction to Python Variables and constants in Python How to install Python Designing and using Functions A modular approach to program organization Using methods Reading and writing files in Python And much more...


In Manuscript 3 "Python for Data ysis" you'll learn:

What is deep learning How to conduct a data ysis The different Python libraries that you are able to use for deep learning. Understanding some of the math behind neural networks. The basics of working with the TensorFlow library that can help you with your deep learning project. How to handle the Keras library for your needs. The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning. Looking more at machine learning and how we are able to fit this into some of the data ysis that we are talking about. How deep learning is going to be helpful when it is time to handle your own predictive ysis.