Unpacking NumPy and Pandas [Video]

Unpacking NumPy and Pandas [Video]

Curtis Miller

1 customer reviews
Get to grips Python’s popular packages that make Data Analysis possible
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Video Details

ISBN 139781787121195
Course Length2 hours and 18 minutes

Video Description

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.

In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you’ll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python’s NumPy package, Python’s powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python’s Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You’ll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation.

Style and approach

This video course is a step-by-step approach that will take you through the different concepts and features of Data Analysis using Python libraries and tools.

Table of Contents

Let’s Do This! Setting Up a Python Data Analysis Environment
The Course Overview
Installing Anaconda
Exploring Jupyter Notebooks
Exploring Alternatives to Jupyter
Package Management with conda
Setting Up a Database
It’s All in the Numbers – Diving into NumPy
Running through NumPy Data Types
Creating NumPy Arrays
Slicing Arrays in NumPy
Arithmetic and Linear Algebra with Arrays
Employing Array Methods and Functions
Black, White, and Awesome – Working with Pandas
Pandas Are Fun! What Is Pandas?
Exploring Series and DataFrame Objects
Subsetting Your Data
Arithmetic, Function Application, Mapping with Pandas
Handling Missing Data in a Pandas DataFrame
Managing Your Data by Sorting and Ranking
Hierarchical Indexing
Plotting with Pandas

What You Will Learn

  • How to read, sort, and map various data into NumPy and Pandas
  • How to create and slice data arrays using NumPy
  • How to subset your data frames using Pandas
  • How to handle missing data in a Pandas DataFrame
  • How to interface your Python data analysis with R language packages

Authors

Table of Contents

Let’s Do This! Setting Up a Python Data Analysis Environment
The Course Overview
Installing Anaconda
Exploring Jupyter Notebooks
Exploring Alternatives to Jupyter
Package Management with conda
Setting Up a Database
It’s All in the Numbers – Diving into NumPy
Running through NumPy Data Types
Creating NumPy Arrays
Slicing Arrays in NumPy
Arithmetic and Linear Algebra with Arrays
Employing Array Methods and Functions
Black, White, and Awesome – Working with Pandas
Pandas Are Fun! What Is Pandas?
Exploring Series and DataFrame Objects
Subsetting Your Data
Arithmetic, Function Application, Mapping with Pandas
Handling Missing Data in a Pandas DataFrame
Managing Your Data by Sorting and Ranking
Hierarchical Indexing
Plotting with Pandas

Video Details

ISBN 139781787121195
Course Length2 hours and 18 minutes
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