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Source channel @githubtrending · Post #14952 · Jul 13
#go#go_interview_questions#go_practice#golang#golang_interview_questions#golang_practice#hacktoberfest#interview#interview_practice#interview_questions#learn_to_code#learning_resources You can practice and improve your Go programming skills with an interactive web platform that offers 30 coding challenges ranging from beginner to advanced levels. It provides a live code editor with syntax highlighting, instant test results, and detailed performance analytics to help you write efficient Go code. You can track your progress on leaderboards, compare your solutions with others, and learn from detailed explanations and resources for each challenge. The platform supports easy setup via web UI, GitHub Codespaces, or command line, making it convenient to prepare for Go technical interviews and boost your coding confidence. This helps you master Go concepts and get ready for real job interviews effectively. https://github.com/RezaSi/go-interview-practice
Search: #classification
@djangoproject · Post #240 · 01/25/2017, 10:03 AM
http://www.aparat.com/v/4nbc9 This talk gives a quick overview of Python's capabilities as a #data_processing and #machine_learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for #classification and #prediction#tasks.