Learn how to build a serverless ETL pipeline using Python and Google Cloud Functions to extract CSV files from an FTP server, transform the data, and load it into BigQuery — including setup, code walkthrough, and automation.
On-Premise infrastructure gave way to SaaS, which gave way to PaaS. Learn how IaaS, SaaS, and PaaS differ, and why Platform-as-a-Service has become the preferred cloud model for mobile app development teams.
Cloud architect roles demand a blend of deep technical expertise and strong soft skills. Here are the ten most important skills to build or sharpen if you want to advance your cloud architecture career.
Git and GitHub are no longer just for software developers. Learn the core GitHub workflows every data scientist needs — repositories, branches, and pull requests — to collaborate effectively and move models into production.
Choosing the right programming language can shape your cybersecurity career. This guide breaks down Java, JavaScript, PHP, Python, and C# — covering use cases, learning curves, and career fit.
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Kubernetes alone won’t future-proof your career. Here are five core competencies — from scripting and infrastructure automation to cloud architecture and security — that every I&O engineer should develop.
GitHub is the world’s largest code hosting platform built on Git. Learn what GitHub is, how it works, and why millions of developers rely on it for version control, collaboration, and open-source contribution.
From VS Code to Home Assistant, discover the open-source GitHub repositories that attracted the most contributors in 2019, according to GitHub’s Octoverse report.
KNIME CEO Michael Berthold outlined a four-phase end-to-end data science cycle at the KNIME Fall Summit 2019, covering data gathering, modelling, deployment, and optimisation—along with three generations of ML automation.
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In October 2019, GitHub CEO Nat Friedman published a public defense of the company’s decision to renew a GitHub Enterprise Server contract with US Immigration and Customs Enforcement (ICE), even as employees demanded the contract be cancelled.
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Software developers have moved from basement code factories to boardroom decision-makers. Here is what drove that shift, what it demands of engineers today, and what the trend means for DevOps teams.
Running Python workloads in Docker introduces unique challenges around build speed, security, and image optimization. This guide covers the key best practices every Python DevOps engineer should know.
A UK government Digital Economy Council report breaks down median salaries, hiring volumes and the best cities for tech roles including DevOps engineer, data scientist, Python developer and more.
Python hit its highest-ever Tiobe Index rating of 8.53% in June 2019, and already leads the rival Pypl index. At its growth pace, Tiobe projected Python could overtake Java and C within three to four years.
A SlashData survey of more than 20,500 developers found that machine learning and data science top the list of skills developers plan to acquire, with Python emerging as the language of choice in the data science space.
Python has emerged as the dominant language for DevOps engineers—not by accident, but because of its readability, scripting power, and deep integration with core automation tools like Ansible and SaltStack. Here’s why it belongs in every DevOps toolchain.
Learn how to build a Dockerized Python Flask todo application, write automated tests, and set up a complete CI/CD pipeline using Semaphore to deploy automatically to Heroku.
