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CS109 Data Science
Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.
Python for Data Science _ Tutorial for Beginners #1 _ Python Basics
In my Python for Data Science articles I'll show you everything you have to know. I'll start from the very basics _ so if you have never touched code, don't worry, you are at the right place. I'll focus only on the data science related part of Python _ and I will skip all the unnecessary and impractical trifles.
What is Docker and How to Use it With Python
This is an introductory tutorial on Docker containers. By the end of this article, you will know how to use Docker on your local machine. Along with Python, we are going to run Nginx and Redis containers. Those examples assume that you are familiar with the basic concepts of those technologies. There will be lots of shell examples, so go ahead and open the terminal.