Friday, 16 August 2024

Efficiently Iterating Over Java Map Entries

 


Iterating over entries in a Java Map is a common task in software development, especially when you need to access both keys and values during processing. The efficiency of iteration can vary based on the Map implementation you choose, and understanding these differences is crucial for optimizing performance. Here’s a comprehensive guide on how to iterate over a Java Map, covering different methods and their implications depending on the Map implementation.

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Thursday, 17 March 2022

how to atomically update values in a ConcurrentHashMap in Java using Compute and ComputeIfAbsent methods?

Hi,  ConcurrentHashMap is a thread-safe implementation of the Java Map interface, designed to be used in multi-threaded environments. It allows multiple threads to access and modify the map simultaneously without causing data corruption or race conditions.

One of the key features of ConcurrentHashMap is that it provides atomic operations to update its elements. Atomic operations are operations that are performed as a single, indivisible unit of work, which means they are guaranteed to be executed completely or not at all. This is important in multi-threaded environments where multiple threads may try to modify the same element at the same time.

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Friday, 4 October 2019

how many types available for getting string variable length in perl?

Method 1:

my $c = map $_, $h =~ /(.)/g;


Method 2:

my $c = split '', $h;


Method 3:

my $count = () = "hello" =~ /./g;


Method 4:

print length $h;


Method 5:

$cnt = "hello" =~ tr/[a-z][A-Z][0-9]//;


Method 6:

$h='hello';
my $v=$h=~ s/[a-z]//g;


Method 7:

print  @_ = push(@_, map $_, (split '', 'hellgo'));


Method 8:

print  @_ = push(@_, grep $_, (split '', 'hellgo'));


Method 9:

print push(@_, grep $_, "hello" =~ /./g);


Method 10:

print push(@_, map $_, "hello" =~ /./g);


Method 11:

print push(@_, grep $_, reverse "hello" =~ /./g);


Method 12:

print push(@_, map $_, reverse "hello" =~ /./g);


Method 13:

print push(@_, map $_, (split '', 'hellgo'));


Method 14:


my $c = grep/./, (reverse split '', 'hello');
print $c;


Method 15:

my $c = map $_, (reverse split '', 'hello');
print $c;


Method 16:

my $c = map $_, (reverse "hello" =~ /./g);
print $c;


Method 17:

my $c = grep/./, (reverse "hello" =~ /./g);
print $c;


Method 18:

my $c = map $_, (reverse split '', 'hello');
print $c;


Method 19:

my $c = grep/./, (reverse split '', 'hello');
print $c;


Method 20:

print scalar map $_, 'hello' =~ /(.)/g;


Method 21:

print scalar grep/./,'helloh' =~ /(.)/g;


Method 22:

print scalar  map $_, (reverse "hello" =~ /./g);


Method 23:

print scalar  map $_, (reverse split '', 'hello');


Method 24:

print scalar  map $_, (split '', 'hello');


Method 25:

print $r = @_= map $_, (split '', 'hello');


Method 26:

print $r = @_= grep $_, (split '', 'hello');


Method 27:

print $r = @_= grep $_, (reverse "hello" =~ /./g);


Method 28:

print $r = @_= grep/./,'helloh' =~ /(.)/g


Method 29:

print $r = @_= map  $_, (reverse "hello" =~ /./g);


Method 30:

print $r = @_= map/./,'helloh' =~ /(.)/g


Method 31:

print $r = @_= map $_, (split '', 'hello');


Method 32:

print $r = @_= grep $_, (split '', 'hello');


Method 33:

print $r = @_= grep $_, (reverse "hello" =~ /./g);


Method 34:

print $r = @_= grep/./,'helloh' =~ /(.)/g


Method 35:

print $r = @_= map  $_, (reverse "hello" =~ /./g);


Method 36:

print $r = @_= map/./,'helloh' =~ /(.)/g


Method 37:

print scalar  map $_, (reverse split '', 'hello');


Method 38:

print length reverse  grep/./,'helloh' =~ /(.)/g;


Method 39:

print length reverse  map $_,'helloh' =~ /(.)/g;


Method 40:

print grep/./, (reverse "hello" =~ tr/[a-z][A-Z][0-9]//);


Method 41:

print map $_, (reverse "hello" =~ tr/[a-z][A-Z][0-9]// );




For More Methods Reach Me:@ letscrackperlinterviewblogspot@gmail.com  

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Monday, 15 April 2024

Component Iteration in React JSX Strategies for Seamless Repetition

 Transitioning from traditional templating to JSX in React can be a bit perplexing, especially when you’re accustomed to looping constructs like for. In JSX, which ultimately compiles down to JavaScript function calls, you need to employ a different approach to achieve repetitive rendering. Let’s explore various techniques to repeat components in JSX.

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Thursday, 8 August 2024

Understanding HashMap and Hashtable in Java

Java developers often encounter two fundamental data structures for storing key-value pairs: HashMap and Hashtable. Understanding the differences between these two is crucial for making optimal choices in your application development. Here, we delve into the distinctions, advantages, and use-cases for each to help clarify when to use one over the other.

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Sunday, 4 August 2019

How to auto generate values for a hash by giving an array or list elements as hash keys in perl?



Method 1:

                       %hash = map {$_=>1} "letcrackperl"=~/./g;
                        print   %final;

Method 2:

                        %final = map { $_ => 1 } 1..5;
                        print  %final;

Method 3:

                        @array=(9,2,3,4,3,6);
                       %final = map { $_ => 1 } @array;
                        print  %final;

Method 4:

                       @array=(9,2,3,4,3,6);
                       @final{@array} = (1) x @array;
                        print  %final;

Method 5:

                       @array=(9,2,3,4,3,6);
                       %final = map { $_,1 } @array;
                        print  %final;

Method 6:

                       @array=(9,2,3,4,3,6);
                       %final = map { $_,1 } split(",",$line)
                        print  %final;

Monday, 1 March 2021

Boost Your Python Code Performance: Tips for Optimizing with JIT Compilation and Profiling Tools

Python is a powerful language for scientific computing and data analysis, but it's also known for its slower execution speed compared to compiled languages like C++ and Java. However, there are ways to optimize Python code for better performance. In this article, we'll explore some tips and tricks for optimizing Python code, including using JIT (just-in-time) compilation and profiling tools.

Use JIT Compilation

One way to improve the performance of your Python code is to use JIT compilation. JIT compilation is a technique that dynamically compiles code at runtime, rather than ahead of time. This allows the interpreter to optimize the code based on the actual data that is being processed, resulting in faster execution.

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Sunday, 19 January 2025

Performing Perl Substitution Without Modifying the Original String

Introduction

When working with strings in Perl, a frequent task is to perform substitutions using regular expressions. However, there are times when you want to keep the original string intact while storing the modified version in a new variable. In this blog post, we’ll explore various ways to achieve this in Perl, ensuring that your original string remains unchanged while you work with its modified copy.

The Traditional Method: Copy and Modify

The most straightforward approach to perform a substitution while preserving the original string is to first copy the string to a new variable and then apply the substitution to the copy.

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