#cppcon

Functional Programming in C++ Using Lambda Expressions

C++11 has changed the C++ language drastically. The inclusion of lambdas has enabled functional programming which allows us to write efficient and bug-free code.

This video explains the following in order

1. What is Functional Programming ? 2. How to use Lambda expressions ? 3. How to use lambda expressions to write functional code? 4. How to write functional code within a class function

Hope it helps you in learning something new.. enjoy!

Please take a moment to Like! Subscribe! and Comment! Your actions will keep me going

Want to get more, Connect me @

Youtube: https://www.youtube.com/CodesBay Twitter: https://twitter.com/CodesBay Facebook: https://www.facebook.com/CodesBay instagram: https://www.instagram.com/CodesBay Github: https://github.com/CodesBay Pinterest: https://in.pinterest.com/CodesBay Tumblr:  https://CodesBay.tumblr.com Web: http://www.CodesBay.com

Kate Gregory’s CppCon 2018 talk

Simplicity: Not Just For Beginners

— Modern C++ to Impress Your Embedded Dev Friends – C++ patterns to make embedded programming more … source

Functional Programming: Currying in C++

std::bind(...) is used in partial function applications and its one of the most amazing functionality provided by C++11 onwards.  

This also enables currying which is a part of the functional programming paradigm. 

Partial function applications allow functions to be called with mandatorily providing all the parameters at one go. This is extremely useful in mathematical and scientific calculations as well as managing data in Multithreaded applications. 

DeMystifying The C++ Virtual Keyword

C and C++ programmers tend to make mistakes when writing code.

Many of these mistakes can be found using -Wall, asserts, tests, meticulous code review, IDE warnings, building with different compilers for different operating systems running on different hardware configurations, and the like. But even all these means combined often fail to reveal all the bugs. Static code analysis helps improve the situation a little. In this post, we will take a look at some static analysis tools.

This article considers the following static analyzers:

Cppcheck

Clang Static Analyzer

PVS-Studio

Coverity Scan

看到「CppCon 2015: Greg Law ‘Give me 15 minutes & I’ll change your view of GDB’」這篇去年 CppCon 上介紹 GDB 的影片： 不是給初學者看的，而是給碰壁很多次的人看的… 裡面提到的 Ctrl-X 與內嵌 python 的部份讓人很驚豔，另外也實戰了 Reverse Execution 救 call stack 的技巧，拿來找破壞掉 stack 後不知道問題在哪裡的 case。 很值得看的 15 分鐘 (實際上大概花了半個小時，邊看邊實際操作練習)。

Number 77:

Video: 1 Hour 5 mins. 7/10

This was an interesting talk, where he did a good job of explaining the issues with the most popular implementations before going through his own.

My biggest issue would be working with this once the framework was finished. He only spent a little bit of time showing some use cases and it didn’t look the most friendly or scalable. If feels like a really great tech-demo or home project but I’m not sure it would be workable on a large scale project.

There was a lot of “modern” C++ code I’d never seen before (mostly the Metaprogramming and template code) so it was interesting to see their use in this situation.

Still, I’d like to find the time to look at the code in more depth and I’m glad he posted it so that i can :)

References:

https://github.com/SuperV1234/cppcon2015