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# Introduction
Standard Python objects store attributes in instance dictionaries. They are not hashable unless you implement hashing manually, and they compare all attributes by default. This default behavior is sensible but not optimized for applications that create many instances or need objects as cache keys.
Data classes address these…
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# Introduction
If you are just starting your data science journey, you might think you need tools like Python, R, or other software to run statistical analysis on data. However, the command line is already a powerful statistical toolkit.
Command line tools can often process large datasets faster than loading…
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# Introduction
Time series data is everywhere. Stock prices jump daily. Temperatures shift. Website traffic spikes and crashes. Most people plot a line. Then they stop.
But here's what a single chart won't tell you: Is the trend speeding up? Slowing down? About to reverse completely?
In this…
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# Introduction
Tired of duct-taping scripts, tools, and prompts together? The Claude Agent SDK lets you turn your Claude Code “plan → build → run” workflow into real, programmable agents, so you can automate tasks, wire up tools, and ship command line interface (CLI) apps without tons of glue code.…
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# Introduction
I have been hearing stories about Claude Code or Cursor "deleting the database" or wiping out files that people have spent days building while vibe coding. The real issue is usually not the artificial intelligence (AI) itself but the lack of version control. If you are not using…
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# Introduction
The next frontier in artificial intelligence (AI) is agentic AI, systems capable of planning, acting, and improving themselves without constant human intervention. These autonomous agents denote a shift from static models that respond to inputs to dynamic systems that think and operate independently. The infographic below illustrates what…
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# Introduction
Dask is a set of packages that leverage parallel computing capabilities — extremely useful when handling large datasets or building efficient, data-intensive applications such as advanced analytics and machine learning systems. Among its most prominent advantages is Dask’s seamless integration with existing Python frameworks, including support for processing…
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# Introduction
Keeping up with data science is not always easy. Every day there are new libraries, papers, datasets, and tools, and I can’t remember them all. I found that just following newsletters or threads doesn’t really work. What helps more is having a few go-to resources ready. For me,…
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Is your team using generative AI to enhance code quality, expedite delivery, and reduce time spent per sprint? Or are you still in the experimentation and exploration phase? Wherever you are on this journey, you can’t deny the fact that Gen AI is increasingly changing our reality today. It’s…