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What does debugging a program look like?
We wish to take an array of 32 million 64bit floating point values, and compute the sum of their squares. This will let us explore some fundamental abilities of various languages. Their ability to iterate over arrays efficiently, whether they can vectorize basic loops, and whether higher order functions like map and reduce compile to efficient code. When applicable, I will show runtimes of both map and reduce, so we get insight into whether the language can stream higher order functions together, and also the runtime with a single reduce or fold operation.
I marker this article as "funny" since I can not believe it is serious. Or at least I'm missing something...
We often have to write code using  permissive programming languages like C and C++. They tend to generate hard-to-debug problems that can crash your applications. Thankfully, many compilers offer “sanitizers”. I discussed them in my post No more leaks with sanitize flags in gcc and clang. I strongly encourage the use of sanitizers as I think it is the modern way to write C and C++. When many people describe how impossibly difficult it is to build good software in C and C++, they often think about old-school bare metal C and C++ where the code do all sorts of mysterious things without any protection. Then they feel compelled to run their code in a debugger and to manually run through it. You should not write code this way! Get some tools! Sanitizers can catch undefined behaviour, memory leaks, buffer overflows, data races, and so forth.
Which built-ins should you know about?
I estimate most Python developers will only ever need about 30 built-in functions, but which 30 depends on what you’re actually doing with Python.
We’re going to take a look at all 69 of Python’s built-in functions, in a birds eye view sort of way.
GitHub Gist: instantly share code, notes, and snippets.
Vim 8.1 was released about a year ago, in May 2018. The “main new feature” was official support for running a terminal within vim. Along with this came a built-in debugger plugin, termd…
Interesting consideration on the usage of setvbuf in a C program.
I do the bulk of my code reviews from the command line, especially when reviewing larger changes. I've built up a number of tools and config settings …
Calculating the mean of a list of numbers Consider the following problem:
You have a list of floating point numbers. No nasty tricks - these
aren’t NaN or Infinity, just normal “simple” floating point numbers.
Now: Calculate the mean (average). Can you do it?
It turns out this is a hard problem. It’s hard to get it even close to right. Lets see why.
Data structure and algorithms are core part of any Programming job interview. It doesn't matter whether you are a C++ developer, a Java developer or a Web developer working in JavaScript, Angular, React, or Query. As a computer science graduate, its expected from a programmer to have strong knowledge of both basic data structures e.g. array, linked list, binary tree, hash table, stack, queue and advanced data structures like the binary heap, trie, self-balanced tree, circular buffer etc. I have taken a lot of Java interviews for both junior and senior positions in the past, and I have been also involved in interviewing C++ developer. One difference which I have clearly noticed between a C++ and a Java developer is their understanding and command of Data structure and algorithms.
On average, a C or C++ developer showed a better understanding and application of data structure and their coding skill was also better than Java developers. This is not a coincidence though. As per my experience, there is a direct correlation between a programmer having a good command of the algorithm also happens to be a good developer and coder.
I firmly believe that interview teaches you a lot in very short time and that's why I am sharing some frequently asked Data structure and algorithm questions from various Java interviews.
If you are familiar with them than try to solve them by hand and if you do not then learn about them first, and then solve them. If you need to refresh your knowledge of data structure and algorithms then you can also take help from a good book our course like Data Structures and Algorithms: Deep Dive Using Java for quick reference.
For coding interview preparation, LeetCode is one of the best online resource providing a rich library of more than 300 real coding interview questions for you to practice from using one of the 7 supported languages - C, C++, Java, Python, C#, JavaScript, Ruby.
A curated list of awesome Competitive Programming, Algorithm and Data Structure resources.
Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable but comes with sensible defaults out of the box.
It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API.
Click in three points:
- arbitrary nesting of commands
- automatic help page generation
- supports lazy loading of subcommands at runtime
Error handling is an integral part of programming, but in many popular languages, it comes as an afterthought.
The godfather of numerous programming dialects, C, never had a dedicated error or exception mechanism in the first place. It is up to the programmer to accurately report whether the function did what it was intended to do, or threw a tantrum—usually by relying on integers. In case of a segmentation fault—well, all bets are off.
This post goes through the experience of the author in the adaptation to the Golang error management workflow.
Contains clickable links to The Book, Rust by Example, Std Docs, Nomicon, Reference. Furthermore, entries are marked as largely deprecated, have a minimum edition, or are bad.
It summarizes concept including: Data Structures, References & Pointers, Functions & Behaviors, Control Flow, Organizing code, Type Aliases and Cast, Code Generation, Pattern Matching, Generics & Constraints, Strings & Chars, Comments, Common Operators, Idiomatic Rust.
From Josh Mcguigan.
This is a tutorial on building your own shell using Rust, in the spirit of the build-your-own-x list. Creating a shell is a great way to understand how the shell, terminal emulator, and OS work together.
Inspired by Ollie Charles and his excellent 24 days of Hackage series, I'm going to try and introduce you to a number of Rust language features, useful libraries and cool projects built with Rust.
In fact this is a learning opportunity for me too - as much as I love Rust, I'm just diving in. If you think I'm wrong or know an interesting library you want me to write about, feel free to comment!