PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step

✍ Scribed by Ethan Williams

• Tongue: English
• Leaves: 148
• Category: Library

✦ Synopsis

This book is a comprehensive guide for beginners to learn Python Programming, especially its application for Data Science. While the lessons in this book are targeted at the absolute beginner to programming, people at various levels of proficiency in Python, or any other programming languages can also learn some basics and concepts of data science. A few Python libraries are introduced, including NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualisation. To make the lessons more intuitive and relatable, practical examples and applications of each lesson are given. The reader is equally encouraged to practise the techniques via exercises, within and at the end of the relevant chapters. To help the reader get a full learning experience, there are references to relevant reading and practice materials, and the reader is encouraged to click these links and explore the possibilities they offer. It is expected that with consistency in learning and practicing the reader can master Python and the basics of its application in data science. The only limitation to the reader’s progress, however, is themselves!

✦ Table of Contents

Introduction
Outline:
Chapter 1: Python basics
Chapter 2: Data analysis with Python
Chapter 3: Data Visualization with Python
Chapter 4: Bonus chapter – Introduction to Machine learning with Python
Chapter 1: Python Basics
Chapter 1: Python Basics
Python History
Installing Python
Windows:
Mac/Linux Os:
Windows:
The Anaconda navigator
Coding with Python: The rudiments
Statements, Commands, and Expressions
Comments
Python data types
Numbers
Strings
Lists
Tuples
Dictionaries
Booleans
Conditional statements and Loops
Functions
Chapter 2: Data Analysis with Python
Chapter 2: Data Analysis with Python
NumPy
Package Installation
Manipulating arrays
Indexing and selecting arrays
Pandas
Series
Data frames
Missing Data
Group-By
Concatenate, Join and Merge
Reading and Writing data
Chapter 3: Data Visualization with Python
Chapter 3: Data Visualization with Python
Matplotlib
Seaborn
Pandas
Chapter 4: Machine Learning with Python
Chapter 4: Machine Learning with Python
So, what is machine learning?
Okay, machine learning is cool. How is it related to data science?
Python and machine learning
Types of machine learning
Conclusion