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How to Build AI Agents that can Use any Website

ConnectingAIAgentstotheWeb:ADeveloper'sJourneyandtheRiseofComputerUseOnemajorhurdleinAIagentdevelopmentoverthepasttwoyearshasbeenreliablygrantingwebaccess.ConsideranAIagentdesignedtosendemails:howdoyouconnectittoGmailorOutlook?APIs,websites,orautonom

Jan 08, 2025 am 12:02 AM

Automating Your LeetCode Journey: Building an Enterprise-Grade LeetCode to GitHub Sync System

IntroductionSoftwareengineersdedicatesubstantialtimetoLeetCode,honingalgorithmicskillsandpreparingforinterviews.However,managingtheresultingcodeoftenproveschallenging.Thisarticledetailsanenterprise-gradeautomationsystemsynchronizingLeetCodesolutionsw

Jan 07, 2025 pm 08:30 PM

Building a Contact Form Backend with FastAPI and Discord Integration

ThistutorialdemonstratesbuildingarobustandsecurebackendAPIusingFastAPItomanagecontactformsubmissionsandrelaythemtoaDiscordchannelviawebhooks.We'llalsoaddresscrucialCORSconfigurationforcontrolledaccess.Prerequisites:Python3.11 FastAPIhttpx(forasynchro

Jan 07, 2025 pm 08:24 PM

Django: Find Nearby Users with Coordinates and Radius

In today's world, location-based functionality is becoming more and more important in web applications. Integrating geographic data can significantly enhance the user experience, whether it's finding nearby friends, locating nearby services, or enabling geotagged content. This article will explore how to use Django's ORM to find nearby users based on their geographic coordinates (latitude and longitude) and a specified radius. First, we will define a Location model to store the geographic coordinates of each user. We'll use Django's built-in User model to associate each location with a user. fromdjango.dbimportmodelsfromdjango.contrib.auth.modelsimport

Jan 07, 2025 pm 08:17 PM

Fit vs Fit_transform

Have you ever wondered about the difference between fit() and fit_transform()? These two functions often appear during data preprocessing. Let’s take a closer look at their differences and illustrate them with examples. Data normalization is an important preprocessing step that usually requires calculating various parameters of the data, such as mean, minimum, maximum, and variance. fit_transform() calculates these parameters and applies them to the data set, while fit() only calculates these parameters and does not apply them to the data set. Suppose we have a small data array: data=[[1,2,3],[4,5,6],[7,8,9]] using fit() and transform() respectively: fromsklea

Jan 07, 2025 pm 08:14 PM