Unlock promotions, career opportunities, and extra income with Python.

You know Python can help in a lot of ways:

You know to unlock these goals, you need Python for data, analysis, and trading.

So you took a course with Udemy.

Then another one with Datacamp.

Then another one with Coursera.

You learned how to build a tic-tac-toe game from someone that has never traded, done financial analysis, or even worked in finance.

Or more useless theory that doesn't get you any closer to your goals.

I've been there.

If you’re new to Python, you probably start by googling "python tutorial." Then you see the 533,000,000 results, scroll for a few seconds, then jump to the first paid ad you see.

You've read the blogs, watched YouTube, and taken all the courses.

But actually using Python for quant finance in real life (and not just for toy examples)?

That can seem like something other people figure out, not you.

Instead, you're...

Sound about right?

It's one thing to "learn Python." But it's a completely different thing to use Python for quant finance.

For many of us, getting started with Python is a mystery.

You know there is immense power at your finger tips, but you just can't quite figure out how to go from theory to practice.

Modules, IDEs, swaps, options, Jupyter, functions, automation, backtesting, loops, classes, CVaR, Sharpe, list comprehensions, walk forward analysis...

People may as well be speaking another language.

Me explaining how to price options using Python in Singapore (2015).

Hi there, I'm Jason and I'm the creator of Getting Started With Python for Quant Finance.

I can translate that language for you.

I've been trading for over 20 years, a quant for 15, and a daily user of Python for 12.

In October 2022, I started helping other people learn how to put the three together.

Over the years, I've helped hundreds of finance professionals, developers, and complete beginners use Python for quant finance. I've done this through keynote talks, Meetups, Twitter threads, LinkedIn posts, in-depth articles, newsletters, and my course Getting Started With Python for Quant Finance.

But Getting Started With Python for Quant Finance is not actually a course.

It's not theory.

It's not jargon.

It's not printing "Hello World" to the screen.

Included is an entire framework to get you started with Python for quant finance.

It's a complete set of step-by-step, proven frameworks that gives you:

So what does all that actually mean?

It means that you won't waste time learning Python you can't use. It means you'll get the skills for a new quant job or to start trading from home.

You get the same quant tools I used to analyze $20 billion of derivatives credit exposure, manage $100 million book of CVA, manage a global team of quant engineers, and trade stocks and options.

So if you're struggling to get started with Python for quant finance, this course is for you.

Getting Started With Python for Quant Finance is designed to work for you, no matter how much experience or time you have (or don't have).

"Hours of content? Live sessions? Learning Python and quant finance? I don't think I have the time"

No lie: This course is deep. It's in-depth. But don't worry, especially if you're just getting started.

When you begin the course, you have a week of onboarding material that you can absorb at your own pace. If you get stuck, you have a community of 750+ people waiting to help you.

Within the first week, you'll have the Python Quant Stack installed, you'll be downloading (free) market data, and you'll be connecting to your broker.

Course schedule

Course dates: November 12, 2023 - December 15, 2023

All live sessions are recorded. The replay, presentation material, and chat transcripts are available within an hour after the call. Access to the course content and community opens on November 12.

$799

All the guidance, code, and community support you need.

• click to reserve your spot for the November 12th cohort

Limited spots available. Payment plan available.

Common questions

"I'm bad at math and feel completely out of my depth. Is this course for me?"
The course goes fast. But since you have 50% discount to the PQN Pro community, you can go at your own pace. Plus you have 750+ people that can quickly help you debug your code, answer questions, and get you unstuck to keep learning."How can I trust you?"
I built a business on trust. I am public online and have tied my personal avatar on social media platforms (including LinkedIn where my posts are monitored) to the PyQuant News avatar. 750+ people have trusted me to get them outcomes with Python. You can too."Why is your course so expensive when I can take the Udemy one for $19?"
Here's the dirty secret of Udemy, Datacamp, Coursera, Udacity, Code Camp, and others: Their business model requires you to take course after course after course. So they teach the most general topics to the broadest audience possible to get the most users on their platform. Their incentives are not aligned with yours. Mine are: Get you outcomes with Python for quant finance. I lose if you can't use what you learn."What if I can't watch the sessions live?"
All Live Sessions are recorded and available within 30 minutes of the session ending. I have students from 39 countries and 71% of them watch the replays instead of attending live."Does your code work in my market?"
Things like conditional value at risk, factor investing, and options valuation work in all markets. The code templates are meant for you to modify as you need to!"Do I need an Interactive Brokers account?"
No! Of the 40 code templates, 3 of them are specific to Interactive Brokers. 99% of the course is applicable to any broker."I'm completely new to Python. Will this work for me?"
Yes! To successfully get started, you need a real-life problem to solve, code to help you get started, and a community for support. In this course, you get all that. There's no better way to start your Python journey."I'm an experienced software developer. Will this work for me?"
Yes! I've had people in my course that were software engineers for 30 years. They participated in the community, helped answer questions, and learned a ton about quant finance along the way!"What if I'm not happy with the course? Can I get my money back?"
100%, no-questions-asked refund policy if you complete the course materials and find the course isn't for you within 14 days of the cohort start date."What if I don't have time to take the course but want to attend the Live Sessions?"
I also offer a free rollover policy. That means if you just can't find the time, you can roll over your subscription to the next course—at no additional cost."What's the time commitment"
Life is busy. I know you don't have time to work on Python all day. That's why this course is designed to be done in less than 1 hour per day. There are two live sessions per week as well as a weekly self-paced curriculum.”Can I really learn Python in 30 days?”
On the surface, this might look like an average course on how to get started with Python. But beneath the surface, what you're really getting is an immersive cohort-based course and community that ensures you take action, holds you accountable, and moves you along to get started with Python with ease.

$799

All the guidance, code, and community support you need.

• click to reserve your spot for the November 12th cohort

Limited spots available. Payment plan available.