Lately, I’ve been coding with Python and building my own small programs and utilities. After building a successful simple timer and calculator I got to wondering, “is my code in the simplest most efficient state it can be?”. How does it translate when being read or used by other people…

Getting any kind of start in Data Science is likely to lead you into the world of NumPy. NumPy is designed to work extremely well with numbers and allow mathematical operations on such data. …

How feature importances aid your classification projects

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During the final weeks of my Flatiron Data Science Bootcamp, I worked on a classification machine learning project with a colleague. We experimented with a few different models learning to optimise the hyperparameters and output their predictions. We settled, finally, on a Random Forest ensemble model. …

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I decided enough is enough and I went on a journey to learn about environment variables and came out with much more.

I've been uneasy about my know-how around environment variables. $PATH, $HOME, $USER come up from time to time. …

Learning to use the permutation formula set for data science.

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How many different permutations of the coloured squares on the face of the Rubiks cube above can there be?

In data science, it can be important to work out the possible permutations in a dataset for specific entities. …

A Google My Business Example with Python

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Learning the Google Cloud API and Google My Business (GMB) framework was not straightforward. I had to go to many different sources and ask many questions along the way. …

$ pip install filprofiler%load_ext filprofiler # use the python fil kernel%%filprofile # run this in the cell you wish to evaluate
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“the resulting sudden system failures, blue screens, and downtime were increasingly unacceptable in this day and age.”

I took some time to learn about how python handles…

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I began my journey into obtaining google reviews last week and was surprised to find that it wasn’t as straightforward as I thought it would be. I write this article to help others who wish to obtain google review data (and other data related to location). …

Introduction to the Transformer Library for Advanced NLP

[1]: from transformers import pipeline[2]: nlp = pipeline("sentiment-analysis")[3]: result = nlp("Lovely atmosphere, staff are super friendly and wonderful people.")[0][4]: print(f"label: {result['label']}, with score: {round(result['score'], 4)}")
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I asked my Bootcamp cohort fellow “I want to do sentiment analysis on reviews…

Hello everyone,

I’ve been meaning to dive deeper into SQL. So I thought of a fun build idea that could use Python and SQL to keep track of materials in my favorite old school game Phantasy Star Online. Welcome to Simple Python Programs — Simple Tracker

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Video tutorial for simple…

Aleksandar Gakovic

Practicing Data Scientist. Interested in Games, Gamification, Ocean Sciences, Music, Biology.

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