
Open-Source Data Science Frameworks:
How to Use Them in Software Projects?
Open-Source Data Science Frameworks: launched on January 16, 2020 with 3 votes, #1,655 of 3,509 launches that month.
What it does
Data science is going to the most trendiest sector in 2020. Here, we have explained the role of data-science projects in custom software development. We have even included different data science tools for custom software development.
Does a similar job
all alternatives →- IWI wrote a book about using data science to solve “everyday” problems2021 · andrewnc.github.io · ▲632
- 1G1000 GitHub Data Science projects, now executable in 1 click2020 · cloud.blobcity.com · ▲125
Data Engineering Book – An open source, community-driven guideFeb 2026 · github.com · ▲251Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
- SPSelf-Published Book – “Data Science in Production”2020 · ▲172
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
- AOAn Open-Source Data Science Curriculum2014 · github.com · ▲135

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Hey folks. Last year I was fortunate enough to sign a deal to write a book with my favorite technical publisher, The Pragmatic Bookshelf. When I started out as an Engineering Manager many years ago, I found that there wasn't a huge amount of material that specifically and practically helped me understand how to do my job. When you learn to program there's all of these amazing tutorials, examples and guides, but what was there for new managers? In response to this, a couple of years ago I started a blog over at https://www.theengineeringmanager.com which got a decent amount of…
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