Python Programming

Synopsis

FIN551 Python Programming introduces the use of Python programming from the perspective of a finance practitioner. With the growing importance of data in the new economy, finance practitioners are expected to be able to handle, organise and analyse large amounts of data. This skill is especially pertinent now, due to the rapid adoption of technological tools for process automation, investment decision-making and optimization in finance. In this course, students are introduced to Python programming where basic programming and datahandling concepts are covered through the extensive use of in-class demonstrations and hands-on practice. Students will work on practical business/financial problems regarding process automation and trading/investing strategy back-testing, so that they can translate business requirements into Python code for implementation and deployment.

Level: 5
Credit Units: 2.5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

Introduction to Python
Introduction to Python IDEs such as Spyder, Jupyter Notebook
Native data types in Python
Native structured data types in Python
Data representation
Control sequences
User defined functions
Exception handling
Introduction to Python modules – numpy and matplotlib
Remote data sources – alpha vantage
Best programming practices
Documentation using inline comments and Markdown

Learning Outcome

Appraise the usage of different data types and operations available in Python
Design logic and program flow using control sequences
Assemble and use available Python modules for rapid prototyping and development
Propose implementation strategies for a business problem in Python
Create appropriate documentation for source code management and apply best coding practices to construct technical specifications in Python

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Python Programming