How to setup a Python Data Science environment – Setting up Anaconda environments for working on data science problems using Python

python_data_science_environment

In this article, I will explain and show how I use Python with Anaconda and PyCharm to set up a python data science environment ready for local experimentation with the most popular Python libraries for Machine Learning / Data Science.

This article is focused on Mac users, however, don’t panic, I will make short comments on how to achieve the same results on Windows. I myself use both so no preference there.
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Implementing the up-trendline indicator with Python — From acquiring data to modeling an algorithm and implementing a solution — Part 1 consuming a REST API

This is the first article in a series of articles about working with stock price data and implementing the up-trendline indicator with Python. The complete series will describe in detail implementation of the technical indicator called up-trendline. This article will describe the part of the solution which consumes the REST API, which will give us the data we will need in subsequent articles. Continue reading “Implementing the up-trendline indicator with Python — From acquiring data to modeling an algorithm and implementing a solution — Part 1 consuming a REST API”