Sr. Manager, Data Science I enjoy writing code on weekends (mostly hack around with data analysis & machine learning in Python). This year I moved my dev environment fully to Deepnote, and I’m never going back. The future of coding is browser-based. ...
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Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this mod...
IPython is about using Python effectively for interactive scientific and data-intensive computing. This chapter will start by stepping through some of the IPython features that are useful to the practice of data science, focusing especially on the syntax it offers beyond the standard features of Pyth...
Chapter 4. Visualization with Matplotlib We’ll now take an in-depth look at the Matplotlib tool for visualization in Python. Matplotlib is a multiplatform data visualization library built on NumPy arrays, … - Selection from Python Data Science Handboo
在PlaidML 的 GitHub 页面上你能看到更多的 demo 和相关项目,相信随着这一工具的不断发展,它可以支持的算法也会越来越多。我们在自己的笔记本上,也能快速试验个小模型。 参考链接:https://towardsdatascience.com/deep-learning-using-gpu-on-your-macbook-c9becba7c43...
可以用Jupyter Notebook远程连接服务器跑深度学习、做大数据呀，简单点的python学习也可以在jupyter note...
Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel...
Hands-On Data Science with Anacondais for you if you are a developer who is looking for the best tools on the market to perform data science operations. It's also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications using...
本檔案旨在供先前有權使用Data Science Workspace的現有客戶使用。 每個支援的核心都提供內建功能,可讓您從筆記本內的資料集讀取Experience Platform資料。 目前Adobe Experience Platform Data Science Workspace中的JupyterLab支援Python、R、PySpark和Scala的筆記本。 但是,分頁資料的支援僅限於Python...