think-cell-library
etl
think-cell-library | etl | |
---|---|---|
2 | 55 | |
363 | 1,956 | |
5.5% | 1.6% | |
3.7 | 9.6 | |
13 days ago | 7 days ago | |
C++ | C++ | |
Boost Software License 1.0 | MIT License |
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think-cell-library
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Inside boost::concurrent_flat_map
We at think-cell use that pattern a lot in our library.
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C++ Jobs - Q3 2023
Library * We use Boost throughout our code, e.g., Boost.Spirit for parsing. * We have our own range library, in the same spirit as Boost.Range or Eric Niebler’s range-v3, but going further, for example, by unifying internal and external iteration. We gave a talk about it, and most of the code is public. * We develop our own cross-platform library to support Mac and Windows with a single code base. * We have our own reference-counting and persistence libraries to save and restore whole object trees. * We have an extensive bug reporting infrastructure. Assertions and error checks stay in the release code, and our software automatically reports bugs to our server. The server analyzes the bug, categorizes it and files it in a database that all developers can access. If an update fixes the bug, the user can download the update directly from a bug response web page.
etl
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Modern C++ Programming Course
If you can't use the STL because of exceptions: https://www.etlcpp.com/
- How many of you do you actually use C++?
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Undefined Behavior?
You can also use ETL (https://www.etlcpp.com)
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As an embedded programmer which parts of C++ should I focus?
Use ETL for embedded standard library functionality: https://www.etlcpp.com/
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C++ on embedded studio
The best choice here is use embedded Template Library: https://www.etlcpp.com/
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C++20 for bare-metal microcontroller programming
If you can't get C++23, expected it's implemented in the ETL (it's also just a really amazing library for this kind of stuff - highly recommend!).
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Recompile C++ Standard library to only include classes that are embedded system friendly
I want to use some of C++ std library classes/functions in my embedded system library project that I'm writing. However as the environment has limited ressources I don't want to have use or expose classes or functions that do the following: * Dynamic memory allocations * RTTI * Runtime exceptions I will be rewriting some basic container and algorithms according to my needs. I know that there are other re writes of STL like ESTL but I don't want to have any external dependencies So my question is can I somehow compile/package a fork of C++ std library that only include embedded systems friendly classes such as: - array - tuple - variant - type_traits Etc This compiled library must be completely standalone. The compiler that I use can support upto C++17 standard.
- Looking for well written, modern C++ (17/20) example projects for microcontrollers
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What are some essential libraries for embedded systems everyone should learn?
I will never not recommend the Embedded Template Library
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What programming language should I pick up as a senior developer ?
STL containers use dynamic memory allocation which is often a no-no in embedded contexts. there is the ETL https://www.etlcpp.com/ but I haven't used it!
What are some alternatives?
scnlib - scanf for modern C++
EA Standard Template Library - EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.
LeetCode - This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
graphMat - A matrix header-only library, uses graphs internally, helpful when your matrix is part of a simulation where it needs to grow many times (or auto expand)
C++ Actor Framework - An Open Source Implementation of the Actor Model in C++
ordered-map - C++ hash map and hash set which preserve the order of insertion
gtl - Greg's Template Library of useful classes.
libsrt - libsrt is a C library for writing fast and safe C code, faster. It provides string, vector, bit set, set, map, hash set, and hash map handling. Suitable for soft and hard real-time. Allows both heap and stack allocation. *BETA* (API still can change: suggestions are welcome)
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
RxCpp - Reactive Extensions for C++
C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Ygg - An intrusive C++17 implementation of a Red-Black-Tree, a Weight Balanced Tree, a Dynamic Segment Tree and much more!