From Hypothesis to Insights: A Step-by-Step Guide for people interested in Machine Learning Engineering
As a data scientist and machine learning (ML) engineer, transforming raw data into actionable insights is an exhilarating journey. This journey involves a series of well-defined steps, each crucial for […]...
Setting Up a Python Streamlit Environment on a Synology NAS
In this post, I will walk you through the process of setting up an environment for running Python Streamlit scripts on a Synology NAS as part of my experiences with […]...
Raspberry Pi controlled kiln (part 2)
In my previous post on making a raspberry pi controlled kiln I reached the point with a script running on my Raspberry PI to measure the temperature and manually switch […]...
Raspberry Pi controlled ceramic kiln
In this series of articles I am sharing my experiences with building a Raspberry Pi-controlled kiln from a second hand kiln. In this initial installment, I share my process of […]...
Merging dataframes with Pandas
Performing Anti-Joins Merge employees and top_cust with a left join, setting indicatorargument to True. Save the result to empl_cust. Select the srid column of empl_cust and the rows where _merge is 'left_only'. Save the result to srid_list. Subset the employees table and select those rows where the srid is […]...
Object Oriented Programming in Python
In normal life to tend to think in sequences of activities. Procedural programming Code as a sequence of steps Great for data analysis and scripts Object-oriented programming Code as interactions […]...
How to create a DataFrame in Pandas from a list and add columns
Imagine we have a list and we want to be able to use it as a Pandas DataFrame in Python, how do we do that? And just for fun, I […]...
Reading a .csv file with Python and creating a DataFrame
In this chapter I will dive into reading the data in .csv file and creating a DataFrame. A .csv file stands for comma-separated value, so it simply contains a set […]...