Python pip Tips for Data Scientists
Data Scientists use to work with Anaconda Environments and for installing packages they use to run the “conda” commands. However,
Unix Sed Command Tutorial with Examples
Sed (stream editor) is a very powerful tool for parsing and transforming text that was developed back in 1973 at
ARIMA Model in Python
ARIMA is one of the most popular statistical models. It stands for AutoRegressive Integrated Moving Average and it’s fitted to
How to Check if a File or a Directory exists in R, Python and Bash
When we build Data Workflows and Machine Learning Pipelines, it is common to check for the existence of specific files
10 Tips And Tricks For Data Scientists Vol.6
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In
Docker Storage Tutorial
Docker has two main categories of data storage, the persistent and the non-persistent. Persistent Data Storage Persistent data storage are
How to Write Interactive Python Scripts
Examples of how you can write scripts taking input from users and/or standard input Functions With Users Input In Python Below we
Document Similarity with Synsets and Path Similarity
We will provide an example of how you can define similar documents using synsets and the path similarity. We will
Example of Machine Translation in Python and Tensorflow
We will build a deep neural network that functions as part of an end-to-end machine translation pipeline. The completed pipeline
Time Series Decomposition in Python
Time series decomposition is a technique that splits a time series into several components, each representing an underlying pattern category, trend,
Tutorial: Control Flow in Bash Scripting
In this tutorial we will provide basic examples of the conditional statements in bash scripting. Passing Variables to Scripts via
