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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
How to connect Snowflake with S3 and EC2 using Python
We have provided you with several tutorials in Snowflake. In this example, we consider the scenario where we have to
AWK Tutorial for Data Scientists and Engineers
AWK appeared back in 1977 and is a programming language designed for text processing that is used mainly for data
A Complete Guide of How to Choose and Apply the Right Statistical Test in Python
We often underestimate statistics and their importance and from my own experience, I can tell for certain that it’s the
Interview Question: A Variation of Russian Roulette
For Data Science positions, it is common to be asked questions about probabilities. One example is the following: The Question
How to Generate the Requirements of your Python project based on your Imports
We have provided many tutorials on how to generate the requirements.txt for your python project without environments, how to work
How to Schedule Tasks in Snowflake
We have started a series of Snowflake tutorials, like How to Get Data from Snowflake using Python, How to Load
Data Validation for Machine Learning using TFDV
After the Machine Learning model deployment we need somehow to validate the incoming datasets before we move on and input
How to Sync your Working Environment with Docker Jupyter Notebooks
Data Scientists love to work with Jupyter notebooks. It is possible that in the machine that you have to work
How to work with VS Code and Virtual Environments in Python
We have provided examples of how to work with conda environments. In this post, we will provide you a walk-through
What you can do with Snowflake
Snowflake is a popular cloud-based data storage and analytics service. Personally, when I examine new technologies and products, I would
3 Ways To Perform Quick Exploratory Data Analysis in Python
Exploratory data analysis is a very important procedure in Data Science. Whatever we want to do with the data, we
10 Tips And Tricks For Data Scientists Vol.11
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In case you have
How to Get Data from Snowflake using Python
In a previous post, we provided an example of how to load data from S3 to Snowflake. Data Scientists and
How to Load Data from S3 to Snowflake
In this tutorial, we will show you how to create a database and a warehouse and how to load data
Automated Machine Learning Model Testing
We have all been in this situation that we didn’t know which model is optimum for our ML project and
How to create tables and query data in Redshift Spectrum from S3
In this tutorial, we will show you how to create several tables in Redshift Spectrum from data stored in S3.
How to Create an EMR Cluster
Let’s see how to create an EMR Cluster on AWS. Assuming that you have the required access (IAM Roles) we
An Example of a Data Science Pipeline in Python on Bike Sharing Dataset
Introduction We will provide a walk-through tutorial of the “Data Science Pipeline” that can be used as a guide for
Meta Analysis in R
Introduction We can analyze different scientific studies that address the same question by applying a meta-analysis. The assumption is that
