Deep Learning, NLP, NMT, AI, ML
The terminal can be intimidating to work with when you’re used to working with graphical user interfaces. However, it’s an important tool that you need to get used to in your journey as a Python developer. Even though you can substitute some workflows in the terminal with apps that contain a graphical user interface (GUI), you may need to open the terminal at some point in your life as a Python developer. In this Code Conversation, you’ll follow a chat […]
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One of the most common questions you might have when entering the world of pandas is how to iterate over rows in a pandas DataFrame. If you’ve gotten comfortable using loops in core Python, then this is a perfectly natural question to ask. While iterating over rows is relatively straightforward with .itertuples() or .iterrows(), that doesn’t necessarily mean iteration is the best way to work with DataFrames. In fact, while iteration may be a quick way to make progress, relying […]
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Libraries like NumPy and Pandas let you switch data types, which allows you to reduce memory usage. Switching from numpy.float64 (“double-precision” or 64-bit floats) to numpy.float32 (“single-precision” or 32-bit floats) cuts memory usage in half. But it does so at a cost: float32 can only store a much smaller range of numbers, with less precision. So if you want to save memory, how do you use float32 without distorting your results? Let’s find out! In particular, we will: Explore some […]
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The Python standard shell, or REPL (Read-Eval-Print Loop), allows you to run Python code interactively while working on a project or learning the language. This tool is available in every Python installation, so you can use it at any moment. As a Python developer, you’ll spend a considerable part of your coding time in a REPL session because this tool allows you to test new ideas, explore and experiment with new tools and libraries, refactor and debug your code, and […]
Read moreWelcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article Revolutionizing Document AI with multimodal document foundation models Organizations must digitize various documents, many with charts and images, to manage and streamline essential functions. Yet manually digitized documents are often of uneven
Read moreWe stand at the threshold of a new era of precision medicine, where health and life sciences data hold the potential to dramatically propel and expand our understanding and treatment of human disease. One of the tools that we believe will help to enable precision medicine is Terra, the secure biomedical research platform co-developed by Broad Institute of MIT and Harvard, Microsoft, and Verily. Today, we are excited to share that Terra is available for preview on Microsoft Azure. Starting […]
Read moreOOP, or object-oriented programming, is a method of structuring a program by bundling related properties and behaviors into individual objects. Conceptually, objects are like the components of a system. Think of a program as a factory assembly line of sorts. At each step of the assembly line, a system component processes some material, ultimately transforming raw material into a finished product. An object contains both data, like the raw or preprocessed materials at each step on an assembly line, and […]
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Linear algebra is an important topic across a variety of subjects. It allows you to solve problems related to vectors, matrices, and linear equations. In Python, most of the routines related to this subject are implemented in scipy.linalg, which offers very fast linear algebra capabilities. In particular, linear models play an important role in a variety of real-world problems, and scipy.linalg provides tools to compute them in an efficient way. In this tutorial, you’ll learn how to: Study linear systems […]
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If you need to speed up Python, Cython is a very useful tool. It lets you seamlessly merge Python syntax with calls into C or C++ code, making it easy to write high-performance extensions with rich Python interfaces. That being said, Cython is not the best tool in all circumstances. So in this article I’ll go over some of the limitations and problems with Cython, and suggest some alternatives. A quick overview of Cython In case you’re not familiar with […]
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In this post, I comment on our (i.e., myself, Helmut Schmid and Alex Fraser) year-old paper “Why don’t people use character-level machine translation,” published in Findings of ACL 2022. Here, I will (besides briefly summarizing the paper’s main message) mostly comment on what I learned while working on the one-year-later perspective, focusing more on what I would do differently now. If you are interested in the exact research content, read the paper or watch a 5-minute presentation. Paper TL;DR Doing […]
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