English for Programmers: A Guide to Advancing Your Career
English is the standard language of technology. See why programmers and leaders need it and how to master the language with daily practice and immersion.
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Articles by Renata Weber
Problem decomposition: what it is and how to apply it
Problem decomposition is the technique of breaking a complex challenge into smaller, manageable parts, applied in code, teams and crisis management.
Productivity for devs: behind the scenes of a tech career
Developer productivity comes from habits: continuous learning, mastering the fundamentals, and the critical use of AI. See the behind-the-scenes secrets of tech.
Simpson's Paradox: when aggregated data deceives
Simpson's Paradox occurs when a trend seen in subgroups disappears or reverses when the data is aggregated. See why it happens and how to handle it in Python.
AWS, Azure, or GCP: Which cloud service to choose?
AWS leads the cloud with 28% of the market, ahead of Azure (21%) and GCP (14%). Compare service types, strengths, and when to use each provider.
The R language: what it is, what it is for, and how to get started
R is an open-source language for statistics and data visualization, with more than 24 thousand packages on CRAN and central use in data science.
Marketing and Information Technology: digital strategies
IT transforms marketing with data, automation and personalization: segmented, measurable campaigns in real time and more return on investment.
Machine Learning fundamentals: concepts and algorithms
Machine Learning is the AI field where algorithms learn patterns from data. See the algorithms, learning types, and evaluation metrics.
Machine Learning vs Artificial Intelligence: the difference
Artificial Intelligence is the broad field that simulates human capabilities; Machine Learning is the subarea where algorithms learn from data.
Projects, Programs and Portfolios: what is the difference?
A project is a temporary effort, a program coordinates related projects and a portfolio groups initiatives aligned with strategy. See the differences.
Data Warehouse: what it is, architecture and how it works
A Data Warehouse is a central repository that integrates data from several sources for historical analysis, reporting and decision support via ETL and BI.
What is Power BI and what it is for in data analysis
Power BI is Microsoft''s business intelligence suite that turns raw data into interactive dashboards and reports for data-driven decisions.
BDD: What Behavior-Driven Development Is
BDD is an agile practice that describes software behavior in Given-When-Then scenarios, aligning business, developers, and QA before the code.
Tech Lead: what they do, salary and skills
The Tech Lead is the senior developer who technically leads a team: defines architecture, makes critical decisions, mentors and connects code to business.
What is a technologist? A guide to technology degrees
A technologist is the higher-education degree from the Higher Technology Courses: a practical 2 to 3 year program focused on a specific area of the market.
What are Big Techs? Impact and dominance of the giants
Big Techs are technology giants like Google, Apple, Amazon, Microsoft and Meta that dominate the digital economy, data and innovation on a global scale.
IT degrees: which course to choose for your career?
Computer Science, Information Systems, ADS and Computer Engineering lead the IT courses; compare profiles, duration and the market before choosing.
What is ITSM? IT management as a strategic asset
ITSM is the set of practices to manage IT services. See the difference from ITIL, the benefits and how to implement it in your company in steps.
Product Owner: What they do and what the PO career is like
A Product Owner maximizes the value of the product in Scrum: they manage the backlog, prioritize deliveries, and earn an average of R$9,525/month in Brazil.
Key Visual: what it is and how to create visual identities
A Key Visual (KV) is the guide image that defines colors, typography and style of a campaign, ensuring a cohesive visual identity across all brand pieces.
Nielsen Heuristics: the 10 usability rules
The 10 Nielsen Heuristics are usability principles created by Jakob Nielsen to evaluate interfaces and fix UX problems.
Best VSCode themes and extensions: 2026 guide
VSCode is the most used editor in the world (75.9%): see the best themes, like Dracula, and the essential extensions to code faster in 2026.
Data Science: 65 Application Areas with Real Examples
Data science uses statistics and machine learning to drive decisions: see 65 application areas, from finance and health to smart cities.
Threads: Instagram's social network and Twitter rival
Threads is Meta's text-conversation social network, integrated with Instagram and the fediverse via ActivityPub, with about 500 million monthly users.
Types of Blockchain: Public, Private, and Consortium
Blockchain can be public, private, hybrid, or consortium: the types differ in who participates and validates transactions. See which model to choose.
7 Sites to Practice JavaScript with Real Challenges
HackerEarth, Edabit, CodinGame, Codewars, LeetCode, HackerRank and CodeChef offer free challenges to practice JavaScript online.
How to Study Machine Learning: A Guide to Methods and Resources
To study Machine Learning, start with Python, statistics, and linear algebra, move on to algorithms, and practice on real projects on Kaggle.
Metaverse: what it is, how it works and the future of the internet
The metaverse is a shared 3D virtual space that combines virtual reality, augmented reality and blockchain so people can interact, work and trade online.
Social media in 2026: engagement and SEO guide
To grow on social media in 2026, optimize your profile with SEO, publish short videos, track engagement metrics, and invest in targeted ads.