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Python 3: An interactive deep dive
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Gain insights into Python 3's new syntax, data types, strings, bytes, and iterators through interactive coding samples. Upgrade your Python skills with hands-on, real-time code modifications.

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Overview

Are you ready to take the plunge into Python 3? You might be just getting started with Python or you might be someone who understands Python2 and now wants to upgrade to Python 3. This course is designed to help you achieve your goal faster. Learn about the new syntax, data types, strings, bytes, iterators and much more with interactive coding samples. Execute code using interactive playgrounds, modify the code to see your changes in action and get yourself upgraded to the newest version of Python that is ...Show More

Are you ready to take the plunge into Python 3? You might be just getting started with Python or you might be someone who unders...Show More

Content

135 Lessons

Your First Python Program

11 Lessons

Step through defining functions, managing imports, handling exceptions, and understanding Python's object-oriented approach.

Diving In

Declaring Functions

Writing Readable Code

The import Search Path

Everything Is An Object

Indenting Code

Exceptions

Unbound Variables

Everything is Case-Sensitive

Running Scripts

Further Reading

Native Datatypes

9 Lessons

Unpack the core of Python's native datatypes: Booleans, numbers, lists, tuples, sets, and dictionaries.

Comprehensions

6 Lessons

Examine list, dictionary, and set comprehensions and their power in efficient coding.

Diving In

Working With Files And Directories

List Comprehensions

Dictionary Comprehensions

Set Comprehensions

Further Reading

Strings

8 Lessons

Enhance your skills in Python string manipulation, encoding, and formatting techniques.

Some Boring Stuff You Need To Understand Before You Can Dive In

Unicode

Diving In

Formatting Strings

Other Common String Methods

Strings vs. Bytes

Postscript: Character Encoding Of Python Source Code

Further Reading

Regular Expressions

7 Lessons

Solve problems in text manipulation through Python regular expressions and various use cases.

Diving In

Case Study: Street Addresses

Case Study: Roman Numerals

Using The {n,m} Syntax

Verbose Regular Expressions

Case study: Parsing Phone Numbers

Summary

Closures & Generators

7 Lessons

Follow the process of creating pluralization functions, optimizing with generators and closures in Python.

Diving In

I Know, Let’s Use Regular Expressions!

Classes & Iterators

7 Lessons

Master the steps to create and utilize classes, iterators, and generators in Python 3.

Diving In

Defining Classes

Instantiating Classes

Instance Variables

A Fibonacci Iterator

A Plural Rule Iterator

Further Reading

Advanced Iterators

11 Lessons

Get familiar with using itertools to solve alphametic puzzles and string manipulations.

Diving In

Finding all occurrences of a pattern

Finding the unique items in a sequence

Making Assertions

Generator expressions

Calculating Permutations… The Lazy Way!

Other Fun Stuff in the itertools Module

A New Kind Of String Manipulation

Evaluating Arbitrary Strings As Python Expressions

Putting It All Together

Further Reading

Unit Testing

7 Lessons

Unpack the core of unit testing in Python, improving code discipline and reliability.

(Not) Diving In

A Single Question

“Halt And Catch Fire”

More Halting, More Fire

And One More Thing…

A Pleasing Symmetry

More Bad Input

10.

Refactoring

4 Lessons

Master the steps to identify bugs, handle changing requirements, and refactor code effectively.

Diving In

Handling Changing Requirements

Refactoring

Summary

11.

Files

7 Lessons

Discover handling text, binary files, streams, and standard I/O in Python.

Diving In

Reading From Text Files

Writing to Text Files

Binary Files

Stream Objects From Non-File Sources

Standard Input, Output, and Error

Further Reading

12.

XML

9 Lessons

Take a closer look at XML data structures, parsing techniques, and advanced querying with ElementTree and lxml.

Diving In

A 5-Minute Crash Course in XML

The Structure Of An Atom Feed

Parsing XML

Searching For Nodes Within An XML Document

Going Further With lxml

Generating XML

Parsing Broken XM

Further Reading

13.

Serializing Python Objects

12 Lessons

See how it works to serialize Python objects using pickle and JSON for data persistence.

Diving In

Saving Data to a Pickle File

Loading Data from a Pickle File

Pickling Without a File

Bytes and Strings Rear Their Ugly Heads Again

Debugging Pickle Files

Serializing Python Objects to be Read by Other Languages

Saving Data to a JSON File

Mapping of Python Datatypes to JSON

Serializing Datatypes Unsupported by JSON

Loading Data from a JSON File

Further Reading

14.

HTTP Web Services

8 Lessons

Practice using Python's libraries, like httplib2, for efficient HTTP web service interactions.

Diving In

Features of HTTP

How Not To Fetch Data Over HTTP

15.

Case Study: Porting chardet to Python 3

7 Lessons

Step through porting chardet to Python 3, handling encoding, 2to3 utility, and manual fixes.

Diving In

What is Character Encoding Auto-Detection?

Introducing The chardet Module

Running 2to3

A Short Digression Into Multi-File Modules

Fixing What 2to3 Can’t

Summary

16.

Packaging Python Libraries

12 Lessons

Get started with packaging Python libraries using Distutils, file structuring, and PyPI.

Diving In

Things Distutils Can’t Do For You

Directory Structure

Writing Your Setup Script

Classifying Your Package

Specifying Additional Files With A Manifest

Checking Your Setup Script for Errors

Creating a Source Distribution

Creating a Graphical Installer

Adding Your Software to The Python Package Index

The Many Possible Futures of Python Packaging

Further Reading

17.

Appendix : Where To Go From Here

3 Lessons

Examine resources and platforms for Python 3 learning and exploration.

Things to Read

Where To Look For Python 3-Compatible Code

License

Certificate of Completion

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Python 3: An interactive deep dive Save

Python 3: An interactive deep dive
Save