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mensfeld.pl | ||
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enix.io
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| | | | | This serie of articles deals with solutions for Docker image size optimization. In this first part, we talk about *multi-stage build*. We also explain differences between static and dynamic libraries and why it matters. We also describe the use of the famous Alpine Linux distribution. | |
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rpep.dev
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| | | | | Alpine Linux is a distribution that is designed to be lightweight. In particular, its seen a lot of use in Docker images because the resulting image bundles are considerably smaller than those generated by other minimal distros. However, in the context of building a Docker image for a Python application, its worth thinking carefully before using Alpine, as it can often result in slower builds and counterintuitively it can even result in larger images occasionally. | |
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ashvardanian.com
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| | | | | Experienced devs may want to skip the intro or jump immediately to the conclusions. The backbone of many foundational software systems - from compilers and interpreters to math libraries, operating systems, and database management systems - is often implemented in C and C++. These systems frequently offer Software Development Kits (SDKs) for high-level languages like Python, JavaScript, GoLang, C#, Java, and Rust, enabling broader accessibility. But there is a catch. | |
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www.venkateshwaragroup.in
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| | | BCA coursesubjects include programming languages like C++ and Java, data structures, web development, networking And Artificial Intelligence | ||
