Financial Analysis - Build a ChatGPT Pairs Trading Bot - Anaconda Environment Setup

This lecture covers installing data science and machine learning libraries on Windows using Anaconda. It explains the ease of installation with Anaconda, including basic libraries like Numpy and Scipy, and deep learning libraries such as TensorFlow and Keras. The video also discusses choosing between Python 2 and Python 3, verifying installations, and installing Theano and OpenAI Gym for reinforcement learning.

Why might someone choose to use Python 2 over Python 3?

How can you verify that the libraries have been installed successfully?

What issues might arise when installing CNTK, and how can they be resolved?

What is the purpose of the command 'conda install Theano'?