Advanced Python 3 Training

Advanced Python 3 Training

Course Length:
Delivery Methods:
Course Topics
  • Lambda functions.
  • Advanced list comprehensions.
  • The collections module.
  • Mapping and filtering.
  • Sorting sequences.
  • Unpacking sequences in function calls.
  • Modules and packages.
  • Understanding regular expressions.
  • Python's re module.
  • Data stored in a relational database.
  • Data stored in a CSV file.
  • Data from a web page.
  • HTML, XML, and JSON.
  • Accessing an API.
  • Testing performance with timers and the timeit module.
  • The unittest module.
  • Classes and objects in Python.
  • Instance methods, class methods, and static methods.
  • Properties.
  • Decorators.
  • Subclasses and inheritance.
Available Delivery Methods
Public Class
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
Self-Paced
Learn at your own pace with 24/7 access to an On-Demand course.
Course Overview

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 learn more and for students who have some experience programming with Python and are ready to go to the next level. The course was written using Python 3.8, but is relevant for all students using Python 3.

Course Outline
  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
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Python class:

  • Basic Python programming experience. In particular, you should be very comfortable with:
    1. Working with strings.
    2. Working with lists, tuples and dictionaries.
    3. Loops and conditionals.
    4. Writing your own functions.

Experience in the following would be useful for this Python class:

  • Some exposure to HTML, XML, JSON, and SQL.
Prerequisite Courses

Courses that can help you meet these prerequisites:

Follow-on Courses
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Self-Paced Course
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  • Exercises
  • Quizzes
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