PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

19 Tweets 1 reads Mar 02, 2023
I asked 91.3K people why they struggle getting started with Python:
556 people responded.
Top 3:
1. Lost where to even start
2. Overwhelmed with information
3. Confused how to apply what they learn
So I built a course to help them solve those problems.
Here's what happened:
DK started with no Python experience.
Now he's importing and analyzing market data.
"He guides people that have never programmed from zero experience to placing automated trades all in 30 days."
Yohanes struggled to apply the Python he was learning.
"The course gives me the opportunities to not only learn practical coding but also meet like-minded people."
Now he can leverage the community to apply it immediately.
Brad got started with a career in finance.
"Hands down, best way to get started with Python for a career in finance."
First, the 🤯 improvements for March:
• Discord community server
• NEW affiliate program that can make you $
• 40 Jupyter Notebooks (20 MORE than November)
• Use the production-ready Zipline backtesting framework
And more!
Let's dive in!
🎥 12 Live Sessions (with lifetime access to the recordings)
From installing and configuring the Anaconda Distribution, to assessing and backtesting real trading strategies, to executing live trades with Python. I cover it all in 10 Live Sessions.
🏢 2 Live Office Hours sessions with Jason to answer any questions about anything
These Office Hours sessions make sure everyone is on the same page, gets their questions answered, and no one is left behind.
🥇 51-lesson curriculum you can review at your own pace (with lifetime access to the content)
Each Live Sessions has a written module that dives deeper into the content. There are frameworks, Deep Dives, and mental models to help you get started with Python for quant finance.
💻 40 Jupyter Notebooks with real quant code you can use immediately
These include tutorials on Python, NumPy, Pandas, and other packages in the Python Quant Stack. You also get Notebooks that show you how to backtest strategies and execute them in a live trading environment.
🎬 FREE lifetime access to full session recordings, chat transcripts, and detailed show notes
I throw a lot at you in the course. To make sure you get it all and make sure nobody is left behind, you keep lifetime access to the Live Session recordings and course curriculum.
💨 Q&A during the Live Sessions to reinforce everything you’ve learned
Unlike other courses, I answer questions in real-time throughout the Live Sessions. This makes sure everyone is keeping up with the content no matter what their experience and skill level.
⭕️ Private community of beginners with channels for different topics, platforms, niches, and geographies
By joining, you get access to a community of like-minded people with the same goal as you. To get started with Python for quant finance.
📙 3 step-by-step guides making sure you always have high-value problems to solve, know exactly how to get started with Python, and how to ask questions to get Great Answers from the community to get unstuck fast.
🤿 4 Deep Dives packed with Notebooks for options pricing models, automated execution scripts, and sample strategy backtests
I throw even MORE at you in the Deep Dives which includes step-by-step walk-throughs and code.
And just for joining Getting Started With Python for Quant Finance, you get 8 bonuses:
1. A free copy of The Ultimate Guide to Pricing Options and Implied Volatility with Python
2. A free copy of the Options Breakeven Cheat Sheet
3. 70% off high-resolution, real-time, tick-level equity and options data from @theta_data
4. 30% off The 47-Page Ultimate Guide to Options Pricing Theory
5. 30% off the next Getting Started With Python for Quant Finance cohort
6. Up to $1,000 when you open and fund an account at Interactive Brokers
7. A top spot on the waiting list for Trade Blotter along with a 50% discount for lifetime access
8. Deep Dive into OpenBB the FREE, open source, Bloomberg Terminal with the founder and CEO @didier_lopes
Leave with:
$1,000 at IB
3 templates
10 live sessions
The cheatsheet
70% options data
30 Jupyter Notebooks
100% the options ebook
10 presentation modules
30% off the March cohort
A top spot for Trade Blotter
30% the other options ebook
Finally get started with Python in 2023.
Getting Started With Python for Quant Finance starts March 12.
Reserve one of the last 49 spots:
gettingstartedwithpythonforquantfinance.com

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