Examples of using Lines of code in English and their translations into Hindi
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
Writing lines of code is easy to measure.
Use to simply number the lines of code.
When debugging lines of code, here are the usual scenarios.
Why shouldn't I use lines of code?
Lines of code tend to reward profligate design and penalize concise design.
People also translate
Reading individual lines of code is easy.
There is no(ISO or other) standard for Source Lines of Code.
It requires several lines of code to be written.
Google's internet services run on 2 billion lines of code.
That obeys lines of code that I have written. This is a machine, a computer program.
Need to write multiple lines of code?
Backfiring is based on lines of code, so you run into the same difficulties as using lines of code. .
I just need to write several lines of code.
For trivial programs(e.g. less than 20 lines of code), some or all of these can be done in function main.
The Windows operating system has 50 million lines of code(a line averages 60 characters) and grows 20% with every release.
For example, Google's codebase is two billion lines of code.
The initial release from Torvalds was 10,000 lines of code and now it has reached many millions in total number.
Google's infrastructure is estimated to have 2 billion lines of code.
A function containing more than 50 lines of code should raise a red flag.
Comments in C Comments in C language are used to provide information about lines of code.
At the time, you still had to type in lines of code just to start up a program.
Here's the first 7-minute video of the series, introducing a supervised learning algorithm in Python-in just six lines of code!:!
This is a machine, a computer program that obeys lines of code that I have written.
Before you hit the Finish button,take a deep breath and make sure you're ready to have lines of code thrown at your face.
NASA's SATC managed to reduce thenumber of errors to fewer than 0.1 per 1000 lines of code(SLOC) but this was not felt to be feasible for projects in the business world.
NASA's SATC managed to reduce thenumber of errors to fewer than 0.1 per 1000 lines of code(SLOC)[citation needed] but this was not felt to be feasible for any real world projects.
NASA's Software Assurance Technology Center managed to reduce thenumber of errors to fewer than 0.1 per 1000 lines of code(SLOC)[citation needed] but this was not felt to be feasible for projects in the business world.
NASA's Software Assurance Technology Center managed to reduce thenumber of errors to fewer than 0.1 per 1000 lines of code(SLOC){{Citation needed|date=September 2009}} but this was not felt to be feasible for projects in the business world.