Book Image

Data Acquisition and Manipulation with Python [Video]

By : Curtis Miller
Book Image

Data Acquisition and Manipulation with Python [Video]

By: Curtis Miller

Overview of this book

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. In this course, you’ll start by learning how to acquire data from the web in its already “clean” format, such as in a .csv file, or a database. You’ll then learn to transform this data so it’s in its most useful format for analysis. After that, you’ll dive into data aggregation and grouping, where you’ll learn to group similar data for easier analysis purposes. From there, you’ll be shown different methods of web scraping using Python. Finally, you’ll learn to extract large amounts of data using BeautifulSoup, as well as work with Selenium and Scrapy.
Table of Contents (6 chapters)
Chapter 2
Data Wrangling
Content Locked
Section 1
Combining and Merging Datasets
Different datasets may contain different information that we may want together. Here in this video, we use joins to combine these datasets together. - Load in both datasets into Pandas DataFrames - Identify the type of join needed - Use the DataFrame join() method to combine the datasets together