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# Introduction
Imagine you are traveling and suddenly receive an urgent notification to update a pull request. You do not have your laptop with you, only your mobile phone. What do you do?
This is exactly where mobile code-editing apps become incredibly useful.
These apps allow you to collaborate,…
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# Introduction
Vibe coding is about building quickly, staying focused, and keeping momentum without constantly thinking about usage limits or costs.
If you are using Claude Code through the API, the billing can grow very quickly. Frequent iterations, debugging, and experimentation make API-based workflows expensive for long coding sessions.…
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# Introduction
I have been vibe coding my Stable Coin Payment platform, running everything locally with my own server setup using Docker Compose.
But at some point, I realized something important: there really is not a simple self hosted platform that can handle scaling, deployment, and multi service Docker…
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# Introduction
Docker has simplified how we build and deploy applications. But when you are getting started learning Docker, the terminology can often be confusing. You will likely hear terms like "images," "containers," and "volumes" without really understanding how they fit together. This article will help you understand the core…
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# Introduction
As a machine learning practitioner, you know that feature engineering is painstaking, manual work. You need to create interaction terms between features, encode categorical variables properly, extract temporal patterns from dates, generate aggregations, and transform distributions. For each potential feature, you test whether it improves model performance, iterate…
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# Introduction
Learning AI today is not just about understanding machine learning models. It is about knowing how things fit together in practice, from math and fundamentals to building real applications, agents, and production systems. With so much content online, it is easy to feel lost or jump between…
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# Introduction
As a data scientist, you're probably already familiar with libraries like NumPy, pandas, scikit-learn, and Matplotlib. But the Python ecosystem is vast, and there are plenty of lesser-known libraries that can help you make your data science tasks easier.
In this article, we'll explore ten such libraries organized…
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# Introduction
Whether you accept it or not, agentic AI browsers are here to stay. They don’t just automate your web workflow; they help you with research, writing, understanding content, and much more.
An agentic browser uses autonomous AI agents that can navigate websites, fill forms, execute multi-step tasks, and…
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# Introduction
OCR (Optical Character Recognition) models are gaining new recognition every day. I am seeing new open-source models pop up on Hugging Face that have crushed previous benchmarks, offering better, smarter, and smaller solutions.
Gone are the days when uploading a PDF meant getting plain text with lots…
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# Introduction
We all have those tasks that eat up our time without adding real value. These include sorting downloaded files, renaming photos, backing up folders, clearing out clutter, and performing the same little maintenance tasks over and over again. None of these are particularly difficult, but they are repetitive,…