Data Acquisition and Manipulation with Python
Acquire, Analyse, and Play with Data
Created by Curtis Miller
Learn how to collect, manage, and transform data from various web sources using Python. Explore practical techniques for acquiring data in different formats, cleaning it up, and preparing it for analysis. Gain hands-on experience with popular Python tools for web scraping and data manipulation.
Packt | Sep 2017 | 159 min
What You Will Learn
You will work through practical examples that show how to acquire data from files, databases, and websites. Step-by-step guidance helps you clean, combine, and transform data using Python libraries. By practicing with real-world scenarios, you will build confidence in handling large and complex data sets.
Key Features
- Collect and process data from files, databases, and web sources using Python
- Transform, merge, and aggregate data sets for easier analysis and reporting
- Apply web scraping techniques with BeautifulSoup, Selenium, and Scrapy
Target Audience
Ideal for data analysts or Python users with some experience who want to expand their skills in data acquisition and manipulation. If you want to work more efficiently with web data and automate data collection tasks, these techniques will help you reach your goals.
