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Before starting Part 2, make sure you catch up on Part 1, where I share the groundwork for transforming raw bank statements — the data collection, Google Sheets and Llama LLM for data cleanup, failed attempts, and learning many valuable techniques — click to read Part 1!
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We all spend 12–15+ years studying, aiming to secure a job or start a business — in other words, to make money. Most of us succeed in one way or another. As Malayalam actor Prithviraj Sukumaran once said in an interview, “Getting to a position is easier, but maintaining it is harder”. The same applies to money—earning, whether from a job, investments, real estate, rentals, or even through family support may come relatively easily, but managing it wisely is much more challenging. That’s where financial trackers become essential. They allow us to visually track where our money comes from and where it goes, enabling us to make informed decisions. This blog will guide you in building a simple yet automated personal finance tracker.
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Car Data Analysis to find best car for my needs, (Image by Author, Python Logo from Wikipedia)
Since the start of 2024, there has been a discussion in my home regarding purchasing a new car, but the talks and planning have gone on without a final decision. But when my current car started costing a good amount just from routine checkups and other services, the talk rose again to full power. Just like every time, it was my responsibility to find the latest and best car based on some constraints, but this time I thought of analyzing an Indian Cars dataset (get the data here) using Python rather than searching on Google and filtering through websites.
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Python’s Virtual Environment(venv) is a self-contained directory tree that contains a Python installation for a particular version of Python, with several additional packages.
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In the dynamic landscape of technology, innovation becomes a beacon that guides creators to captivate audiences with unique and engaging projects. For me, this journey began with a challenge from my college’s technical fest, Asthra 8.0. The head of the department tasked me with crafting something special, something that would not only capture attention but also evoke joy. Thus, the inception of Emotion2Emoji — a lightweight system that predicts and displays emojis from facial emotions in a live webcam feed.