Panagiotis Tzamtzis - Digital analytics consultant & Web developer

Mastering Massive Files: Tips, Tricks, and Tools for Data Engineers

In the ever-expanding world of big data, huge files have become commonplace in data engineering projects. These behemoths can bring even powerful systems to their knees, turning simple tasks like viewing or editing into Herculean challenges. But fear not! Whether you're grappling with gigantic log files, colossal datasets, or mammoth database dumps, this article is your roadmap to efficiently managing and processing huge files. We'll explore a toolkit of ingenious solutions, from specialized file viewers that won't freeze your PC, to command-line wizardry for peeking into files without overloading your memory. You'll discover the art of batch processing, allowing you to tackle massive files in manageable chunks. We'll also delve into compression techniques and streaming processes that'll transform the way you handle big data. By the end of this guide, you'll be equipped with the knowledge to view, edit, and process files that don't fit in your PC's memory with confidence and ease. Get ready to tame those data giants and take your data engineering skills to the next level!

Unleashing Creativity and Productivity: The Best Free AI Tools You Need to Know in 2024

Unlock the power of AI without breaking the bank. From intelligent chatbots and creative writing assistants to cutting-edge image generators and coding companions, this curated list of free AI tools offers something for everyone. Whether you're a professional looking to streamline your workflow or an enthusiast eager to explore AI's potential, discover how these accessible solutions can transform your projects and spark your imagination. Dive into our comprehensive guide and start leveraging the best free AI tools available today.

Biases and hidden forces that affect our decisions

Neuromarketing and psychology have always fascinated me. Below is a list of books that I enjoyed on this topic over the years. Predictably Irrational: The Hidden Forces That Shape Our Decisions  Written by Dan Ariely, a Professor of psychology and behavioral economics at Duke University, author and co-founder of several companies implementing insights from behavioral science. His work focuses on understanding human behavior, decision-making, . Ariely explores how humans are predictably irrational, a key tenet of behavioral economics. Through scientific experiments and anecdotes, he illustrates various influences on human behavior, such as the lack of an internal meter for evaluating an...

The Web Scraping Club by Pierluigi Vinciguerra

The Web Scraping Club is a Substack publication curated by Pierluigi Vinciguerra, a seasoned expert in the field of web scraping. This blog serves as a comprehensive resource for individuals interested in the technical and practical aspects of web scraping. It covers a wide range of topics, from basic tutorials for beginners to advanced techniques for experienced scrapers, ensuring there’s something valuable for readers at every skill level. Vinciguerra’s blog is particularly known for its ‘The Lab’ series, which delves into complex challenges faced in web scraping. Recent entries have explored bypassing Cloudflare with anti-detect browsers and evaluating commercial web unblockers. These posts are not only informative...

What’s next for AI agentic workflows by Andrew Ng (AI Ascent by Sequoia Capital)

I came across a fascinating video from Andrew Ng discussing the future of AI with a focus on agentic workflows. Unlike the current non-agentic workflows where we spoon-feed instructions to AI models, agentic workflows allow these models to act more independently, tackling tasks on their own. A great analogy mentioned by Andrew Ng is that non-agentic workflows operate as if you are writting an essay without the option to use backspace (which works remarkably well for LLMs), but what works even better is if you give them the option to contemplate on their results and provide updates (agentic workflows). The...

The rise of the AI engineer by Shawn Wang (Latent.space)

I love Shawn’s articles and thinking style. Both his blog and the latent.space substack have forward-thinking interesting articles around AI engineering. One of the articles that got my attention was the “The rise of the AI engineer“. In the rapidly evolving landscape of artificial intelligence, a new breed of technologists is emerging: the AI Engineer. As detailed in a Latent Space’s article, this role transcends the traditional Prompt Engineer to embrace the full potential of software development within the AI realm. The AI Engineer is at the forefront of a generational shift, harnessing the power of Foundation Models and open-source...