PACE NONCREDIT COURSE:

Advanced Python (Self-Guided)

Areas of Study

Course Type

If you're experiencing difficulties with self-enrollment, please contact us at pace@uno.edu..

Overview Topics Requirements/Prerequisites

Overview

Hours: 28 | Duration: 3 Months

Students will gain valuable and sought-after programming skills.

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

Topics

Curriculum

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
Regular Expressions
1. Regular Expression Tester
2. Regular Expression Syntax
3. Python’s Handling of Regular Expressions
4. Exercise: Green Glass Door
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
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
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

Requirements/Prerequisites

Course Requirements

Prerequisites:

Prior to enrolling in this course, you must have an introductory level of Python programming experience.

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.

PACE NONCREDIT COURSE:

Advanced Python (Self-Guided)

Areas of Study

Course Type

Overview

Curriculum

Course Requirements

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