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Quantopian VS PySpark

Compare Quantopian VS PySpark and see what are their differences

Quantopian logo Quantopian

Your algorithmic investing platform

PySpark logo PySpark

PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor
  • Quantopian Landing page
    Landing page //
    2023-07-27
  • PySpark Landing page
    Landing page //
    2023-08-27

Quantopian videos

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

PySpark videos

Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

Category Popularity

0-100% (relative to Quantopian and PySpark)
Finance
100 100%
0% 0
No Code
0 0%
100% 100
Tool
100 100%
0% 0
Project Management
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Quantopian and PySpark, you can also consider the following products

QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

quantra - A public API for quantitative finance made with Quantlib

NumPy - NumPy is the fundamental package for scientific computing with Python

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa