Head First Python, Third Edition, Barry P., 2023

Head First Python, Third Edition, Barry P., 2023.
     
   Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals by working with built-in data structures and functions. You’ll build your very own web app, which—once it’s ready for prime time—runs in the cloud. You’ll learn how to wrangle data with Python, scrape data from the web, feed data to pandas, and interact with databases. This third edition of Head First Python is a complete learning experience that will help you become a bona fide Python programmer in no time.




The ореn BIF works with files.
Whether your file contains textual or binary data, the open BIF can open your file to read, write, or append data to/from it. By default, open reads from a text file, which is perfect as that’s what you want to do with Darius’s data file.

You can call open direcdy in your code, opening a named file, processing its data, then closing the file when you’re done. This open-process-close pattern is very common, regardless of the programming language you use. In fact, Python has a language statement that makes working with the open-process-close pattern especially convenient: the with statement.

Although there’s a bit more to the with statement than initially meets the eye, there’s only one thing that you need to know about it right now: if you open your file with with, Python arranges to automatically close your file when you’re done, regardless of what happens during whatever processing you perform on the file.

Contents.
Intro.
0 why Python?: Similar but Different.
1 diving in: Let’s Make a Splash.
2 lists of numbers: Processing List Data.
3 list of files: Functions, Modules & Files.
4 formatted string literals: Make Charts from Data.
5 getting organized: Data Structure Choices.
6 building a webapp: Web Development.
7 deployment: Run Your Code Anywhere.
8 working with HTML: Web Scraping.
9 working with data: Data Manipulation.
9 1/2 working with dataframes: Tabular Data.
10 databases: Getting Organized.
11 list comprehensions: Database Integrations.
12 deployment revisted: The Finishing Touches.
Appendix: leftovers: The Top Ten Things We Didn’t Cover.
Index.



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