Writing Production-Grade Python Code for Quant Developers

Course Curriculum

Chapter 1: Introduction to Quantitative Development

Lecture 1: The World of Quant Developers and Researchers

Lecture 2: Demand for Good Quantitative Developers

Lecture 3: What is Production-Grade code

Lecture 4: Course Objectives and Expectations

Lecture 5: Additional Resources

Chapter 2: Implementing Academic Research

Lecture 1: Introduction to Research

Lecture 2: Key Finance Journals and Other Platforms

Lecture 3: Conducting Literature Reviews (1/2)

Lecture 4: Conducting Literature Reviews (2/2) – Obsidian Demo & H&T's Second Brain

Lecture 5: Introduction to Code Roadmaps

Lecture 6: Resources

Chapter 3: Setting up your workshop

Lecture 1: Transition to Linux – Intro to Linux

Lecture 2: Transition to Linux – Ubuntu

Lecture 3: Ubuntu installation assignment

Lecture 4: Transition to Linux – Terminal refresher

Lecture 5: Transition to Linux – Package management and user privileges

Lecture 6: PyCharm and Jupyter Lab – Intro and IDEs

Lecture 7: PyCharm and Jupyter Lab – PyCharm installation and demo

Lecture 8: PyCharm and Jupyter Lab – PyCharm refactoring demo

Lecture 9: PyCharm and Jupyter Lab – PyCharm debugging demo

Lecture 10: PyCharm and Jupyter Lab – Jupyter Intro

Chapter 4: Mastering Git and Source Control

Lecture 1: Introduction – The basics of version control

Lecture 2: Introduction – Git Essentials

Lecture 3: Introduction – Setting Up Git

Lecture 4: Git workflow fundamentals – The Three States

Lecture 5: Git workflow fundamentals – Common Git Commands

Lecture 6: Git workflow fundamentals – Working with Remote Respositories

Lecture 7: Branching strategies – Branching in Git

Lecture 8: Branching strategies – Popular Branching Strategies

Lecture 9: Handling merge conflicts – Branch Management

Lecture 10: Handling merge conflicts – Merge Conflicts

Lecture 11: Handling merge conflicts – Resolving Conflicts

Lecture 12: Handling merge conflicts – Best Practices for Avoiding Conflicts

Lecture 13: Best practices – Types of Changes to Commit

Lecture 14: Best practices – Writing Good Commit Messages

Lecture 15: Best practices – Organising Commits

Lecture 16: Advanced Git techniques – Stashing

Lecture 17: Advanced Git techniques – Tagging

Lecture 18: Advanced Git techniques – Reverting

Chapter 5: Python Virtual Environments and Dependency Management

Lecture 1: Introduction to Python Virtual Environments

Lecture 2: Creating and Managing Virtual Environments

Lecture 3: Dependency management with pip

Lecture 4: Advanced dependency management with Poetry

Chapter 6: Creating clean code

Lecture 1: Principles of clean code

Lecture 2: Clean Python Code & Style Guides (1/2)

Lecture 3: Clean Python Code & Style Guides (2/2)

Lecture 4: Formatters and Linters (1/3) – Introduction

Lecture 5: Formatters and Linters (2/3) – Black and Pylint CLI demo

Lecture 6: Formatters and Linters (3/3) – Black, Pylint in PyCharm and Configurations

Lecture 7: Type Hints and Annotations

Chapter 7: Refactoring Code

Lecture 1: Introduction to Refactoring

Lecture 2: Inheriting Code

Lecture 3: Code Smells

Lecture 4: Common Refactoring Techniques

Lecture 5: KCA Refactoring Assignment

Chapter 8: Documentation

Lecture 1: The Importance of Good Documentation

Lecture 2: Defining Good Documentation and its Objectives

Lecture 3: Best Practices

Lecture 4: Documentation in Python (1/3) – READMEs

Lecture 5: Documentation in Python (2/3) – Docstrings

Lecture 6: Documentation in Python (3/3) – Introduction to reStructured Text

Lecture 7: Introduction to Sphinx (1/2)

Lecture 8: Introduction to Sphinx (2/2)

Lecture 9: Introduction to Read the Docs

Lecture 10: Sphinx and Read the Docs references

Lecture 11: Changelogs