Articles

This section shows the article I wrote for different online websites.

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My articles for Towards Data Science

With tens of published articles, I started my Technical Writing career by collaborating with the established publication Towards Data Science.

I have published articles about Python programming, statistical concepts for Data Scientists, and Machine Learning.

Here’s the list of my best articles:

Tutorials

• How to Convert a CSV file into an XLSX one with Python and Pandas

• How To Deal With Missing Values in Data Science

• How to Perform Feature Selection in a Data Science Project

• How To Detect Outliers in a Data Science Project

• How to Effectively Start Coding in the Era of ChatGPT

• How To Solve Python Dependency Issues With Anaconda On Windows

General programming

• Loops and statements in Python: A deep understanding (with examples)

• Python Loops: A Complete Guide On How To Iterate in Python

• Python Classes Made Easy: The Definitive Guide to Object-Oriented Programming

• Mastering Modular Programming: How to Take Your Python Skills to the Next Level

• Python Lists: The Definitive Guide for Working With Ordered Collections of Data

• Leveraging the Power of “5S” for Clean and Reusable Code

Data science

• What is the Difference between a Barplot and a Histogram?

• Two Methods for Performing Graphical Residuals Analysis

• The Difference Between Correlation and Regression

• Understanding l1 and l2 Regularization

• What is a Trained Model?

• 5 Python Libraries to Learn to Start Your Data Science Career

• Mastering the Art of Regression Analysis: 5 Key Metrics Every Data Scientist Should Know

• Make Your Tabular Data Stand Out via CLI With These Tips and Tricks

• Please: No More Flipping Coins in Data Science

• Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists

• The Myth Of p-values: Why They’re Not the Holy Grail in Data Science

• Classification Metrics: The Complete Guide For Aspiring Data Scientists

• Unleashing the Power of Prompt Engineering for Data Scientists

• The Data Scientist’s Toolbox: Leveraging scikit-learn’s Top Features for Success

• A Gentle Introduction To Generative AI For Beginners

• Use Pandas Data Frames More Effectively with the Top 7 Column Operations

• Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries

• Building Interactive Data Visualizations in Python: An Introduction to Plotly

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My articles for Stack Abuse

Stack Abuse is a firm that helps developers through programming tutorials and courses.

I wrote the following articles:

• Python Dictionary Comprehension: A Fast and Flexible Way to Build Dictionaries

• The Power of Indexing: Boosting Data Wrangling Efficiency with Pandas

• Data Integrity: How OrderedDict Preserves Key Order in Python

• Finding Numbers in Various Data Types in Python

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My articles for Codemotion

Codemotion is an Italian firm that helps developers grow.

I wrote the following articles for the English magazine:

• Unsupervised Learning in Python: A Gentle Introduction to Clustering Techniques for Discovering Patterns

• Data Analysis Made Easy: Mastering Pandas for Insightful Results

• Python and Databricks: A Dynamic Duo for Data Dominance

• Python: The Versatile Programming Language That Captivates Everyone

And the following articles for the Italian magazine:

• Creative Coding: Come Creare Opere d’Arte Programmando

• La gestione degli errori resa semplice: una introduzione in Python

• Apprendimento Non Supervisionato in Python: Una Introduzione alle Tecniche di Clustering per Scoprire i Pattern

• Python e DataBricks: la giusta accoppiata per dominare i dati

• L’analisi dei dati resa semplice: padroneggia Pandas per ottenere risultati dai tuoi dati

• Come programmare con Python: Il linguaggio versatile che conquista tutti

Codemotion for Istituto Poligrafico Zecca dello Stato e Politecnico di Bari

I contributed to writing an article on a study made by Istituto Poligrafico Zecca dello Stato and Politecnico di Bari about the creation of a knowledge graph of the whole Italian regulatory database:

• Come Realizzare un Knowledge Graph dell’intera Banca Dati Normativa Italiana

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My articles for Semaphore

Semaphore helps technology companies achieve better results.

Read the articles I wrote for their blog:

• How to Handle Imbalanced Data for Machine Learning in Python

• Flaky Tests in Machine Learning: Challenges and Countermeasures

• Unlocking Efficiency: 3 AI Tools for Automatic Software Documentation

Attention

This article is under the publication process.

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My articles for n8n

N8n is a low-code automation tool that helps developers save time by creating stunning automations.

Read the articles I wrote fot their blog:

• How to make a Slack bot: Python vs. n8n Guide

Attention

The article is under the publication process.

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My articles for DZone

I’m having the privilege to co-author the following articles with Karin Wolok:

• An Introduction to Stream Processing

• Choosing The Right Stream Processing System: A Comprehensive Guide

• Exploring The Dynamics of Streaming Databases

Attention

The last two articles are under the publication process.

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My article for Butler Scientifics

Here’s my contribution to Butler Scientifics, a Spanish firm developing AutoDiscovery, a software that automates the discovery phase when analyzing data:

• Unlock the Power of Automation: Why Automating Data Exploration is Essential for Your Efficiency

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My articles for Planeta ChatBot

Planeta ChatBot translated into Spanish and published on their website some of the articles I wrote for Towards Data Science.

Read them here.

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Repurposed articles from KdNuggets

KDnuggets repurposed some of the articles I wrote for Towards Data Science: read them here.

I’ve also been featured here and mentioned there.