Advanced Python   

Students will gain valuable and sought-after programming skills.

What you will learn

• Lambda functions
• Advanced list comprehensions
• The collections module
• Mapping and filtering
• Sorting sequences

How you will benefit

• Obtain the experience needed to take your Python programming skills to an advanced level
• Boost your résumé
• Open the door to new freelance and employment opportunities at companies nationwide

Requirements:

Hardware Requirements:

• This course can be taken on either a PC or Mac.

Software Requirements:

• PC: Windows 10 or later.
• Mac: macOS 11.0 or later.
• Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
• Python (Installation instructions provided)
• Visual Studio Code (Installation instructions provided) is recommended. However, you may use a different editor if you prefer.
• Adobe Acrobat Reader.
• Software must be installed and fully operational before the course begins.

Other:

• Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

This Advanced Python training course picks up where our Introduction to Python course leaves off. This course is for students who have taken the introductory course and are ready to leverage their previous experience to learn more or have some experience programming with Python and are ready to take their skills and knowledge to the next level.

1. Advanced Python Concepts
   1. Lambda Functions
   2. Advanced List Comprehensions
   3. Exercise: Rolling Five Dice
   4. Collections Module
   5. Exercise: Creating a defaultdict
   6. Counters
   7. Exercise: Creating a Counter
   8. Mapping and Filtering
   9. Mutable and Immutable Built-in Objects
   10. Sorting
   11. Exercise: Converting list.sort() to sorted(iterable)
   12. Sorting Sequences of Sequences
   13. Creating a Dictionary from Two Sequences
   14. Unpacking Sequences in Function Calls
   15. Exercise: Converting a String to a datetime.date Object
   16. Modules and Packages
2. Regular Expressions
   1. Regular Expression Tester
   2. Regular Expression Syntax
   3. Python's Handling of Regular Expressions
   4. Exercise: Green Glass Door
3. Working with Data
   1. Virtual Environment
   2. Relational Databases
   3. Passing Parameters
   4. SQLite
   5. Exercise: Querying a SQLite Database
   6. SQLite Database in Memory
   7. Exercise: Inserting File Data into a Database
   8. Drivers for Other Databases
   9. CSV
   10. Exercise: Finding Data in a CSV File
   11. Creating a New CSV File
   12. Exercise: Creating a CSV with DictWriter
   13. Getting Data from the Web
   14. Exercise: HTML Scraping
   15. XML
   16. JSON
   17. Exercise: JSON Home Runs
4. Testing and Debugging
   1. Testing for Performance
   2. Exercise: Comparing Times to Execute
   3. The unittest Module
   4. Exercise: Fixing Functions
   5. Special unittest.TestCase Methods
5. Classes and Objects
   1. Attributes
   2. Behaviors
   3. Classes vs. Objects
   4. Attributes and Methods
   5. Exercise: Adding a roll() Method to Die
   6. Private Attributes
   7. Properties
   8. Exercise: Properties
   9. Objects that Track their Own History
   10. Documenting Classes
   11. Exercise: Documenting the Die Class
   12. Inheritance
   13. Exercise: Extending the Die Class
   14. Extending a Class Method
   15. Exercise: Extending the roll() Method
   16. Static Methods
   17. Class Attributes and Methods
   18. Abstract Classes and Methods
   19. Understanding Decorators

What you will learn

• Lambda functions
• Advanced list comprehensions
• The collections module
• Mapping and filtering
• Sorting sequences

How you will benefit

• Obtain the experience needed to take your Python programming skills to an advanced level
• Boost your résumé
• Open the door to new freelance and employment opportunities at companies nationwide