What you'll learn:
Learn to write production-grade Python code.
Learn how to build high quality Python libraries which will be used by quantitative researchers / algorithmic traders.
Crystallise your knowledge in quant developer best practices.
Understand the tools at your disposal for creating production-ready code and the processes surrounding them.

Requirements:
Basic Programming Knowledge: Students should have a foundational understanding of programming, in Python, as the course heavily focuses on Python development. Knowledge of basic programming concepts like variables, loops, functions, classes and data structures (lists, dictionaries, etc.) is essential.
Understanding of Basic Finance Concepts: While an in-depth knowledge of finance isn't mandatory, familiarity with basic financial concepts and markets will be beneficial. This includes understanding stocks, and basic financial terminology.
Mathematics Proficiency: A solid grasp of basic mathematics, especially in areas like linear algebra and statistics, is important. The course will involve some level of mathematical computation and analysis.
Computer with Required Software: Access to a computer capable of running Python and related software tools (like IDEs, Git, etc.). This is crucial for participating in hands-on workshops and projects.

Description:
Embark on a transformative journey into the world of Python programming tailored for the high-octane field of quantitative finance with our university-semester length course, Writing Production-Grade Code for Quantitative Developers. This course is meticulously designed to bridge the gap between academic learning and the dynamic requirements of the quantitative development sector, focusing on the nuances of coding that are vital for success in this challenging field.Our curriculum is a deep dive into the universe of production-ready Python coding, where every module is an essential building block towards becoming an exceptional quantitative developer. We begin with an exploration of the roles and responsibilities of quantitative developers, delving into the specific skills and tools required in the industry, and how Python plays a pivotal role. You'll learn about the latest industry trends, the increasing demand for proficient quantitative developers, and the characteristics that make Python code production-ready.The course covers a broad spectrum of topics, including using Linux in your Python development workflow, techniques in structuring and organizing projects, mastering Git for source control, and best practices in creating quality code and documentation. You'll gain hands-on experience in working with the wider Python ecosystem, including virtual environments, dependency management, and you'll be introduced to the intricate process of package releases. By the end of this course, you won't just learn Python; you will have honed a skill set that makes you an invaluable asset in the world of quantitative finance, ready to tackle the challenges faced by top hedge funds around the globe. Join us and transform your understanding of Python in quantitative finance, setting you on a path to career excellence.Note: This course is still in active development. We will be adding new modules and assignments as soon as they are completed. By joining now, you will help support the further creation of this content and the ability to build out new course material. The benefit you get for supporting us at this early stage is a heavily discounted price for the current material available and future material yet to be added. As more content is added, the price will be adjusted accordingly.

Who this course is for:
Aspiring Quant Developers / Algorithmic Traders and Programmers
Quant Traders and Researchers
Data Analysts and Scientists
Tech-Savvy Finance Enthusiasts
Individuals Fascinated by Financial Markets