Python Algorithm Trading Part 1: Python Data Analysis for Algorithm Trading
Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.
169 learners
Level Basic
Course period Unlimited
(Boot Camp Lecture Promotion, May 10, 2024, 8:00 PM) Building a Spark Engine with Docker
Hello, students.
This is Daniel. How are you spending your spring? 😃
I would like to once again thank my students for taking my quant lectures.
I am writing this update to introduce my live lecture that will be held on May 10th at 8 PM.
The course is a live boot camp on building a PySpark engine using Docker.
PySpark is really easy because it is based on sql syntax .
However, it is true that the hurdles for individual learners to start learning are high because the difficulty of setting up the environment is high and the cost of using services such as Databricks is a burden.
So my lecture is going to be about setting up PySpark on an individual's local computer using Docker.
If you feel burdened by Docker or other developer-related content, you can put aside the burden of prior knowledge as we will be connecting remotely during the live lecture and doing troubleshooting.
So, after the basic session, we may reschedule the schedule and have additional sessions. I planned a 3-hour lecture, but I don't know what variables may arise in the middle. However, I can promise that I, as a knowledge sharer, will be responsible for the results until the end.
The lecture is linked below.
We take classes face to face together.
thank you
Daniel Dream