Python for Data Analysis

Book Description How many times have you thought about learning how to code but got discouraged as you didn’t have any technical experience, the time to learn, or, simply, you didn’t think you were intelligent enough? This is your lucky day. Keep reading to discover more about it!
You don’t need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python’s basics for Data Analysis.
This book, PYTHON FOR DATA ANALYSIS: A PRACTICAL GUIDE TO MANIPULATING, PROCESSING, CLEANING, AND CRUNCHING DATA SETS IN PYTHON. HOW TO EFFECTIVELY SOLVE A WIDE RANGE OF DATA ANALYSIS PROBLEMS, is a concise, step-by-step guide to Python for Data Analysis.
Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts.
Are you ready to find out more?
Here’s a short preview of what you will learn inside this book:

• Why Python for data analysis? 

• Data analysis bases

• Python libraries and installation

• Python language basics, ipython and jupyter notebooks

• Built-in data structures, functions, and files       

• Introduction to modeling libraries in Python

…And so much more!

Content

CHAPTER 1. WHY PYTHON FOR DATA ANALYSIS? 
CHAPTER 2. DATA ANALYSIS, THE BASICS  
CHAPTER 3. ESSENTIAL PYTHON LIBRARIES (NUMPY, IPYTHON) 
CHAPTER 4. PYTHON LIBRARIES AND INSTALLATION (MATPLOTLIB, PANDAS)
CHAPTER 5. INSTALLATION AND SETUP
CHAPTER 6. PYTHON LANGUAGE BASICS, IPYTHON AND JUPYTER NOTEBOOKS 
CHAPTER 7. BUILT-IN DATA STRUCTURES, FUNCTIONS, AND FILES 
CHAPTER 8. NUMPY BASICS: ARRAYS AND VECTORIZED COMPUTATION
CHAPTER 9. GETTING STARTED WITH PANDAS 
CHAPTER 10. PLOTTING AND VISUALIZATION 
CHAPTER 11. DATA AGGREGATION AND GROUP OPERATIONS
CHAPTER 12. INTRODUCTION TO MODELING LIBRARIES IN PYTHON