Snippets tagged “performance”
13 snippets use this tag.
- C++ performance vs. Java/C#Java
C++ is generally considered to be a faster and more performant language than Java or C#.
- Create a Pandas Dataframe by appending one row at a timePython
Here is an example of creating a Pandas DataFrame by appending one row at a time:
- Efficiency of using foreach loops to clear a PHP array's valuesPHP
Using a foreach loop to clear the values of an array in PHP is an efficient way to do so.
- Getting the name of the currently executing methodJava
To get the name of the currently executing method in Java, you can use the Thread.currentThread().getStackTrace() method.
- Hibernate throws MultipleBagFetchException - cannot simultaneously fetch multiple bagsJava
If you are using Hibernate and you see the error "MultipleBagFetchException: cannot simultaneously fetch multiple bags", it means that you are trying to fetch multiple collections of an entity using a single Hibernate query.
- How to Add and Use CSS CommentsCSS
A CSS comment is used to give explanatory information to the code or to prevent the browser from trying to interpret particular parts of the style sheet.
- How to benchmark efficiency of PHP scriptPHP
There are several ways to benchmark the efficiency of a PHP script, including:
- How to iterate over rows in a DataFrame in PandasPython
You can use the iterrows() method to iterate over rows in a Pandas DataFrame.
- Initial size for the ArrayListJava
The initial size of an ArrayList in Java is 0.
- What is mod_php?PHP
mod_php is an Apache module that allows PHP code to be executed directly by the Apache web server.
- What is the difference between dict.items() and dict.iteritems() in Python2?Python
In Python 2, dict.items() returns a list of the dictionary's key-value pairs, whereas dict.iteritems() returns an iterator over the dictionary's key-value pairs.
- When should I use Memcache instead of Memcached?PHP
Memcache and Memcached are both in-memory key-value stores that are commonly used to cache data to improve application performance.
- Why does Python code run faster in a function?Python
Python code can run faster in a function because of something called "Just-In-Time" (JIT) compilation.