Articles

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

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Achievements

Before presenting my articles, I’d like my achievements talk for me. I believe this is a good way for you to understand the quality of my work and the results we can get together:

• Selected by NVIDIA: Given my expertise and the articles I created in the field of Articifial Intelligence, I’ve been selected by NVIDIA for a pre-briefing where they presented the Polars GPU engine in preview:

  

  The invitation to the pre-briefing

  And here’s the article I wrote for them: Accelerating Polars with RAPIDS cuDF

• Spotted by DZONE: One of my articles on Data Engineering has been featured on the DZone main page on the 14th of June 2024 as a spotlighted article (see it here)

• Recognized as one of the most read TDS’s contributors: I was recognized as one of the most read authors by Towards Data Science:

  

  The email from Towards Data Science to Federico Trotta for recognition.

• Owner of the documentation chapter for the “The open source book”: I’ve been the owner of the chapter abot the documentation for the book “The open source book” (“Il libro open source” in Italian) which is an italian manual for developers.

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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 CI

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

• Keeping Self-Hosted LLM Costs Down: Best Practices and Tips

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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

• 12 workflow automation tools to automate your workflows

• Getting started with CRM automation: Essential guide & templates included

• Top 7 Embedded iPaaS Solutions: Choosing the Right Fit for Your Organization

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My articles for Kestra

Kestra is an orchestration tool that simplifies business-critical workflows.

Here are my articles for their blog:

• How Orchestration Can Optimize Your Engineering Processes

• Kestra vs. Popular CI/CD Tools: When to Choose an Orchestration Solution

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My articles for AppSignal

AppSignal has recently opened its doors to Python articles. Here are the ones I wrote for the blog:

• How to use Lambda Functions in Python

• How to use Regular Expressions in Python

• Ways to Optimize Python Code

• Flask or Django: Which One Best Fits Your Needs?

• An introduction to Flask-SQLAlchemy

Attention

The articles not linked are 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

Important

“Exploring The Dynamics of Streaming Databases” has been featured as DZONE’s top article in the daily digest newsletter.

Important

“Exploring The Dynamics of Streaming Databases” has been also featured on the DZone main page on the 14th of June 2024 as a spotlighted article.

“Exploring The Dynamics of Streaming Databases” on DZone’s main page

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My articles for Dev.to

Dev.to is “A constructive and inclusive social network for software developers”.

Here’s the list of my articles on Dev.to:

• Serverless Cost Optimization Three Key Strategies

• Pandas reset_index(): How To Reset Indexes in Pandas

• How To Easily Remove a Password From a PDF file

• How To Create a Repository in GitHub

• How to calculate RGB values in Python

• How to Use Proxies in Python

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My articles for Writech:

Writech is ani Italian company that provides technical aricles services for top-notch companies:

• How to Use Web Scraping for Machine Learning (ghostwriting)

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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.