DATA ANALYSIS WITH NUMPY AND PANDAS: Mastering python with updated libraries to perform Analysis on Jupyter Notebook

✍ Scribed by Mills, Aimee

• Publisher: Independently Published
• Year: 2023
• Tongue: English
• Leaves: 191
• Category: Library

✦ Synopsis

IN A WORLD OVERFLOWING WITH DATA, YOUR ABILITY TO DECIPHER, DERIVE MEANING, AND MAKE INFORMED DECISIONS CAN SHAPE YOUR DESTINY.

Welcome to "Data Analysis with NumPy and Pandas," your passport to the world of data mastery. In an age where data reigns supreme, your proficiency in extracting insights is your superpower. This book is tailored for data enthusiasts, scientists, analysts, and professionals at all levels who seek to harness the immense potential of NumPy and Pandas.

Some Key Benefits
Comprehensive Proficiency: Develop a deep understanding of NumPy and Pandas, mastering their tools for data manipulation and analysis.
Real-World Applications: Dive into practical examples and case studies, bridging the gap between theory and practice.
Career Acceleration: Whether you're embarking on a data-driven career or sharpening your skills, this book is your ticket to becoming a data analysis virtuoso.
A true Sory of a Winner

Meet Emily, a young professional aspiring to excel in the data-driven industry. She discovered "Data Analysis with NumPy and Pandas" and embarked on a transformative journey. Armed with newfound expertise, Emily tackled complex datasets, unlocking critical insights that drove her organization's success. Today, she is a data luminary, and her story echoes the potential that lies within these pages.

The power to decode the data universe lies within your grasp. It's not just about understanding data; it's about wielding it to shape your future.

Join us on this exhilarating voyage through the realm of data analysis. Embrace this book as your compass, and embark on a journey of knowledge, mastery, and boundless opportunities. Your adventure begins here; are you ready to empower your future with "Data Analysis with NumPy and Pandas"?

✦ Table of Contents

TABLE OF CONTENT
PREFACE
INTRODUCTION
CHAPTER 1
Setting up Anaconda
Learning about Jupyter Notebooks
Exploring alternatives to Jupyter
CHAPTER 2
Spyder
Rodeo
ptpython
Conda's package management system
Describe Conda.
Environment Conda management
Controlling Python
package control
Setting up MySQL
Installing MySQL
MySQL connectors
Build a database
Summary
CHAPTER 3
Examining NumPY
Python arrays
Unique Numerical Values
Establishing NumPy arrays
Making an ndarray
Summary
CHAPTER 4
Activities with NumPy Arrays
Explicit Selection of the Elements
Arrays with colons for Slicing
Specialized Indexing
Increasing Arrays
Arrays and Algebraic Computations
Arithmetic Using Two Arrays of Equal Sizes
Broadcasting
Algebraic Linear
Using Array Techniques and Functions
Array Techniques
Using ufuncs to vectorize
Specific Ufuncs
Summary
CHAPTER 5
The fun of pandas! Describe pandas.
How do pandas behave?
Investigating Dataframe Objects and Series
Developing series
Establishing DataFrames
Including Data
DataFrames are Saved
Data Subsetting for you
Series Subsetting
Indexing Techniques
DataFrame slicing
Summary
CHAPTER 6
Using Pandas for Arithmetic, Applying Functions, And Mapping
Arithmetic
Math using DataFrames
DataFrames and Vectorization
Using the DataFrame Function
Missing Data Handling in A Pandas Dataframe
Erasing Data That Isn't Present
CHAPTER 6
Completing Information Gaps
Summary
Planning, Managing, and Indexing
Sorting by index
Using Values to Order
Indexing in a Hierarchy
Using A Hierarchical Index to Cut Up A Series
Using Pandas to Plot
Plotting Techniques
Thank you…
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