Advanced Python Programming Course
Course Features:
Live Instructor Teaching
Certificate of Completion
Courseware: Print
Hands-On Learning?: Yes
Software Lab Included?: Yes
Delivery Methods:
Live Online
Individuals and Groups
@ Your Location or Our Labs
Onsite for Teams
Group Teams
@ Your Organization
For team training, we can teach onsite at your office or private live online.
How Online Classes Work? - Learn How Our Live Online Classes Work
Course Overview
This course is for students who have taken an introductory course and are ready to learn more and for students who have some experience programming with Python and are ready to go to the next level. Topics Covered:
- Lamba Functions.
- Advanced list comprehensions.
- The Collections module.
- Mapping and filtering.
- Sorting sequences.
- Unpacking sequences in function calls.
- Modules and packages.
Register Early: Registration Deadline is 2 Weeks Prior to Class Start.
Course Notes
Versions That Can Attend: Python 2, Python 3, and Python 3.8 (differences between the versions are noted)
Course Taught With: Python 3.8 Software and Courseware
Knowledge Prerequisites
Introduction to Python Programming
• Basic Python programming experience, in particular, you should be very comfortable with:
- working with strings, lists, tuples, and dictionaries
- loops and conditionals
- writing your own functions
• Also, some exposure to HTML, XML, JSON, and SQL would be useful
Course Topics
Lambda Functions
Advanced List Comprehensions
• Exercise 1: Rolling Five Dice Collections Module
• Exercise 2: Creating a defaultdict
Counters
• Exercise 3: Creating a Counter
Mapping and Filtering
Mutable and Immutable Built-in Objects
Sorting
• Exercise 4: Converting list.sort() to sorted(iterable)
Sorting Sequences of Sequences
Creating a Dictionary from Two Sequences
Unpacking Sequences in Function Calls
• Exercise 5: Converting a String to a datetime.date Object
Modules and Packages
Lesson 2: Regular Expressions - 53
Regular Expression Tester
Regular Expression Syntax
Python's Handling of Regular Expressions
• Exercise 6: Green Glass Door
Lesson 3: Working with Data - 73
Virtual Environment
Relational Databases
Passing Parameters
SQLite
• Exercise 7: Querying a SQLite Database
SQLite Database in Memory
• Exercise 8: Inserting File Data into a Database
Drivers for Other Databases
CSV
• Exercise 9: Finding Data in a CSV File
Creating a New CV File
• Exercise 10: Creating a CV with DictWrite
Getting Data from the Web
• Exercise 11: HTML Scraping
XML
JSON
• Exercise 12: JSON Home Runs
Lesson 4: Testing and Debugging - 133
Testing for Performance
• Exercise 13: Comparing Times to Execute
The unittest Module
• Exercise 14: Fixing Functions
Special unittest.TestCase Methods
Lesson 5: Classes and Objects - 157
Attributes
Behaviors
Classes vs. Objects
Attributes and Methods
• Exercise 15: Adding a roll() Method to Die
Private Attributes
Properties
• Exercise 16: Properties
Documenting Classes
• Exercise 17: Documenting the Die Class
Inheritance
• Exercise 18: Extending the Die Class
Extending a Class Method
• Exercise 19: Extending the roll() Method
Static Methods
Class Attributes and Methods
Abstract Classes and Methods
Understanding Decorators