Exploring Data with Python


Python has become a required skill for data science, and it's easy to see why. It's powerful, easy to learn, and includes the libraries like Pandas, Numpy, and Scikit that help you slice, scrub, munge, and wrangle your data. Even with a great language and fantastic tools though, there's plenty to learn! Exploring Data with Python is a collection of chapters from three Manning books, hand-picked by Naomi Ceder, the chair of the Python Software Foundation. This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. In it, you'll get a clear introduction to the data science process. Then, you'll practice using Python for processing, cleaning, and exploring interesting datasets. Finally, you'll get a practical demonstration of modelling and prediction with classification and regression. When you finish, you'll have a good overview of Python in data science and a well-lit path to continue your learning.
Download free tutorial in PDF (110 pages) created by .
Pages : 110
Size :
File type : PDF
Downloads: 222
Created: 2021-05-15
License: Free
Exploring Data with Python

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others Python Tutorials

Introduction to Scientific Programming with Python

Processing WSDL in Python

Python and Coding Theory

Python for You and Me

A Practical Introduction to Python Programming

Others related eBooks about Exploring Data with Python

Practices of the Python Pro

Professional developers know the many benefits of writing application code that's clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level....

Deep Learning with Python

This book introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concept...

Introduction to Microsoft SharePoint 2016

Download a free document of SharePoint 2016, a course in pdf on 64 pages for beginners....

Think Perl 6

Want to learn how to program and think like a computer scientist? This practical guide get..., download free Perl 6 tutorial in PDF (466 pages) created by Laurent Rosenfeld ....

Getting started with React Native tutorial

Download free React Native tutorial course in PDF, training file in 32 chapters and 91 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

R Language tutorial, The Basic Maniuplation

The purpose of this course is to provide a starting point for Interested in R language. It is useful For the beginner to assimilate certain notions and concepts in order to improve their knowledge....

How to Think Like a Computer Scientist: Learning with Python 3 Documentation

This book is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structur...

Programming for Computations - Python, 2nd Edition

This book presents computer programming as a key method for solving mathematical problems...., download free Programming for Computations tutorial in PDF (350 pages) created by Svein Linge ....

Cobol programmer's guide

Download a complet PDF tutorial about Cobol for programmers ,it shows you how to develop COBOL programs that use the database languages SQL and PL/SQL....

C++ Core Guidelines

The aim of the guidelines is to help people to use modern C++ effectively. By "modern C++" we mean C++11, C++14, and C++17. In other words, what would you like your code to look like in 5 years' time, given that you can start now? In 10 years' time?...