Python

Python Basics Exercises: Installing Packages With pip

So far on the Python Basics learning path, you’ve been working within the bounds of the Python standard library. Now it’s time to unlock packages that aren’t included with Python by default. To do that, you’ll need pip. Many programming languages offer a package manager that automates the process of installing, upgrading, and removing third-party packages. Python is no exception. The de facto package manager for Python is called pip. In this Python Basics Exercises course, you’ll test and reinforce […]

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Artificial intelligence Leave a comment

Structured knowledge from LLMs improves prompt learning for visual language models

This research paper was presented at the 38th Annual AAAI Conference on Artificial Intelligence (opens in new tab) (AAAI-24), the premier forum for advancing understanding of intelligence and its implementation in machines. We’re seeing remarkable abilities from visual language models in transforming text descriptions into images. However, creating high-quality visuals requires crafting precise prompts that  

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Python

Duck Typing in Python: Writing Flexible and Decoupled Code

Python makes extensive use of a type system known as duck typing. The system is based on objects’ behaviors and interfaces. Many built-in classes and tools support this type system, which makes them pretty flexible and decoupled. Duck typing is a core concept in Python. Learning about the topic will help you understand how the language works and, more importantly, how to use this approach in your own code. In this tutorial, you’ll learn: What duck typing is and what […]

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Python

What can you do about climate change?

Climate change is impacting the whole planet, and getting worse every year. So you want to do something—but you’re not sure what. If you do some research you might encounter an essay by Bret Victor—What can a technologist do about climate change? There’s a whole pile of good ideas in there, and it’s worth reading, but the short version is that you can use technology to “create options for policy-makers.” And working on clean energy or efficiency is definitely a […]

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Machine Learning

Leveraging ANOVA and Kruskal-Wallis Tests to Analyze the Impact of the Great Recession on Housing Prices

In the world of real estate, numerous factors influence property prices. The economy, market demand, location, and even the year a property is sold can play significant roles. The years 2007 to 2009 marked a tumultuous time for the US housing market. This period, often referred to as the Great Recession, saw a drastic decline in home values, a surge in foreclosures, and widespread financial market turmoil. The impact of the recession on housing prices was profound, with many homeowners […]

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Python

How to Read User Input From the Keyboard in Python

You may often want to make your Python programs more interactive by responding dynamically to input from the user. Learning how to read user input from the keyboard unlocks exciting possibilities and can make your code far more useful. The ability to gather input from the keyboard with Python allows you to build programs that can respond uniquely based on the preferences, decisions, or data provided by different users. By fetching input and assigning it to variables, your code can […]

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Artificial intelligence Leave a comment

Research Focus: Week of February 19, 2024

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud Kubernetes is a prominent open-source platform for managing cloud applications, including stateful databases, which keep track of changes and transactions involving the underlying data. These monolithic applications often must rely on vertical  

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Machine Learning

Garage or Not? Housing Insights Through the Chi-Squared Test for Ames, Iowa

The Chi-squared test for independence is a statistical procedure employed to assess the relationship between two categorical variables – determining whether they are associated or independent. In the dynamic realm of real estate, where a property’s visual appeal often impacts its valuation, the exploration becomes particularly intriguing. But how often do you associate a house’s external allure with functional features like a garage? Using the Ames housing dataset, this exploration delves deep into discerning whether there exists a statistically significant […]

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Python

Unleashing the Power of the Console With Rich

Python’s Rich package is a versatile tool kit that enables you to generate beautifully formatted and highlighted text in the console. It extends beyond this to help you build captivating text-based user interfaces (TUIs). But why opt for a TUI instead of a graphical user interface (GUI)? There are instances where a text interface feels more fitting. Why employ a complex GUI for a simple application when an elegant text interface suffices? Working with plain text can be refreshing. It […]

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Machine Learning

Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing Dataset

In the realm of inferential statistics, you often want to test specific hypotheses about our data. Using the Ames Housing dataset, you’ll delve deep into the concept of hypothesis testing and explore if the presence of an air conditioner affects the sale price of a house. Let’s get started. Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing DatasetPhoto by Alex Staudinger. Some rights reserved. Overview This post unfolds through the following segments: The Role […]

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