
Python Real-World Projects
Description
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Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words "Don't come home until you have a story."
Content
- Overview of the Projects - Extract, Transform, and Load
- Project 1.1 - Data Acquisition Base Application
- Data Acquisition Features - Web API and Scraping
- Data Acquisition Features - SQL Database
- Project 2.1 - Data Inspection Notebook
- Data Inspection Features
- Schema and Metadata
- Project 3.1 - Data Cleaning Base Application
- Data Cleaning Features
- Project 3.7 - Interim Data Persistence
- Project 3.8 - Integrated Data Acquisition Web Service
- Project 4.1 - Visual Analysis Techniques
- Project 4.2 - Creating Reports
- Project 5.1 - Modeling Base Application
- Project 5.2 - Central Tendency
- Project 5.3 - Simple Multivariate Statistics
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- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook does not use copy protection or Digital Rights Management
For more information, see our eBook Help page.