Skip to main content

Computer Science: Py_104
Advanced Python Programming

Advanced Python Programming
Enrollment in this course is by invitation only

This is an advanced course in Python Programming for learners having basic understanding of Python programming language
Enrollment in this course is by invitation only

About This Course

Python programming language is the most versatile and popular programming language used across various industries. Advanced knowledge of Python language is not only opens up great career opportunities but can also be instrumental in developing the next great product. This course will introduce you to advanced programming concpets and useful packages

Course Contents

    1. An Introduction to Object Oriented Programming in Py

  • Classes and Objects
  • Methods and data Members
  • Inheritance and Operator overloading

    • 2. Data Persistence in Py

  • Data structures and Serialization
  • Py modules: pickle and shelve
  • Comparing JSON vs. XML

    • 3. Network programming in Py

  • Overview of network protocols
  • Communication with sockets. Examples

    • 4. Building Graphical User Interfaces in Py

  • The GUI paradigm
  • Py GUI packages: tkinter

    • 5. Advanced programming topics in Py

  • Lambdas: maps, filters, reduce
  • List comprehensions

    • 6. Multi-threading and parallel processing in Py

  • Threading and Concurrency
  • Processes and Task Execution.
  • Inter-Process Communication amp; Parallel processing. Examples.

    • 7. Debugging and IDEs in Py

  • The process of debugging in Py
  • IDEs in Py: Spyder (Anaconda)

    • 8. GPU Programming in Py

  • Tools and Examples

    • 9.Cloud Computing in Py

  • Tools and Examples

    • 10. Using Py in Finance – a Case Study

  • TBD

    • Course Objectives

    This course is designed for programmers and system developers. This course will achieve following objectives:
    • Introducing advanced Python programming concepts
    • Providing background and rigorous training for developing Large Scale systems in Python
    • Introducing Software Engineering Principles

    Requirements

    • Comfortable with Python Programming
    • Familiarity with Python Data Structures like Lists, Tuples, Dictionaries etc
    Length: 10 Week
    Effort Required: 90 minutes lecture + 5 hours per week for Projects and Assignments
    Live Lectures: Every Week
    Coding environment: Py Jupyter Notebook

    Course Staff

    Course Staff Image #1

    Cris Doloc

    Cris Doloc is the founder and principal of FintelligeX. Cris holds a PhD in Computational Physics and have more than 25 years of experience as a quant, computational expert and algo trading system architect. He currently teaches at the University of Chicago in the programs of Financial Mathematics and Biomedical Informatics.

    "The most important lesson that I have learned in my career, is that the potential to solve complex business problems depends mostly on being able to recruit, train and develop the necessary talent that could apply efficiently the latest technology available." Cris Doloc

Enrollment in this course is by invitation only