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Client-server communication involves more than just sending requests and receiving JSON responses. In this handbook, @devseyi explains how HTTP, REST, WebSockets, GraphQL, gRPC, and Protocol Buffers work under the hood. You’ll also learn about their tradeoffs and how to choose the right communication approach for your system. https://www.freecodecamp.org/news/how-clients-and-servers-communicate-handbook-http-rest-websockets-graphql-grpc-protobuf/
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freeCodeCamp.org
Discrete Mathematics plays a key role in machine learning and algorithms. And in this Python course, you'll learn some of its key concepts like combinatorics, number theory, and the Pigeonhole Principle. The course also covers permutations, the Rule of Sum, prime and rational numbers, congruences, and lots more. https://www.freecodecamp.org/news/learn-discrete-mathematics/
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freeCodeCamp.org
React Native is a JS framework that lets you build native mobile apps for both iOS and Android using one codebase. And in this course, you'll learn how to use it by building a meditation app. You'll also use Expo, TypeScript, & other tools along the way. https://www.freecodecamp.org/news/build-a-meditation-app-with-react-native-expo-router/
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freeCodeCamp.org
As a developer, you may spend a lot of time in your terminal. So to help you work more happily and productively there, @pliutau has shared this collection of CLI/TUI tools. He goes over their features and installation instructions so you can try them out yourself. https://www.freecodecamp.org/news/essential-cli-tui-tools-for-developers/
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freeCodeCamp.org
"Trust no one. Verify everything." That's the motto, if you will, of zero-trust authentication. This approach to security checks every person, every device, and every request – every single time they try to access resources. In this in-depth guide, @tope_fasasi walks you through implementing zero-trust auth in your web apps. https://www.freecodecamp.org/news/how-to-implement-zero-trust-authentication-in-your-web-apps/
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freeCodeCamp.org
Time series forecasting in Python can help you predict future trends. In this course, you'll learn what time series data is and how to break it down into its key components. Then you'll build baseline models, learn important forecasting techniques like ARIMA and seasonal ARIMA, evaluate your models, & more. https://www.freecodecamp.org/news/learn-time-series-forecasting-in-python/