#data-structures

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#programming

Python Dictionary Comprehensions: How and When to Use Them - Real Python

Dictionaries in Python can be created using literals, the dict() constructor, or for loops, with comprehensions offering additional manipulation capabilities.

Fold Function in JavaScript - Makemychance

Fold in programming simplifies data processing by applying a function to arrays, improving both code readability and versatility.

Data Structure Interview Questions [Must-Know]

Data structure interviews assess knowledge, not just perfect answers; preparation is essential.

Understanding Serialization and Deserialization: Methods, Examples, and Best Practices

Serialization converts data structures into storable formats, whereas deserialization reconstructs them from those formats.

Top 10 Key Differences Between HashSet and TreeSet in Java

HashSet provides faster operations, while TreeSet offers sorted storage and ordering.

Beginner guide to using set in Scala | managing Scala collections

Scala Sets provide a powerful way to handle collections of unique elements with mutable and immutable options.

Python Dictionary Comprehensions: How and When to Use Them - Real Python

Dictionaries in Python can be created using literals, the dict() constructor, or for loops, with comprehensions offering additional manipulation capabilities.

Fold Function in JavaScript - Makemychance

Fold in programming simplifies data processing by applying a function to arrays, improving both code readability and versatility.

Data Structure Interview Questions [Must-Know]

Data structure interviews assess knowledge, not just perfect answers; preparation is essential.

Understanding Serialization and Deserialization: Methods, Examples, and Best Practices

Serialization converts data structures into storable formats, whereas deserialization reconstructs them from those formats.

Top 10 Key Differences Between HashSet and TreeSet in Java

HashSet provides faster operations, while TreeSet offers sorted storage and ordering.

Beginner guide to using set in Scala | managing Scala collections

Scala Sets provide a powerful way to handle collections of unique elements with mutable and immutable options.
moreprogramming
#algorithms

The Importance of Data Structures and Algorithms in the Life of a Data Engineer

Mastering Data Structures and Algorithms is crucial for optimizing data engineering tasks.

Why Swift sucks as a functional language

Understanding fundamental principles can aid in solving programming challenges effectively.

How to Go From Noob to Master: Leetcode Contests | HackerNoon

Consistent participation in coding contests is essential for mastering Data Structures and Algorithms.
Reviewing past solutions and upsolving problems significantly enhances learning.
Focusing on key DSA topics is crucial for contest success.

GitHub - CSRT-NTUA/AlgoPlus: AlgoPlus is a C++17 library for complex data structures and algorithms

AlgoPlus C++ library offers complex data structures and algorithms for easy usage and implementation.

The Importance of Data Structures and Algorithms in the Life of a Data Engineer

Mastering Data Structures and Algorithms is crucial for optimizing data engineering tasks.

Why Swift sucks as a functional language

Understanding fundamental principles can aid in solving programming challenges effectively.

How to Go From Noob to Master: Leetcode Contests | HackerNoon

Consistent participation in coding contests is essential for mastering Data Structures and Algorithms.
Reviewing past solutions and upsolving problems significantly enhances learning.
Focusing on key DSA topics is crucial for contest success.

GitHub - CSRT-NTUA/AlgoPlus: AlgoPlus is a C++17 library for complex data structures and algorithms

AlgoPlus C++ library offers complex data structures and algorithms for easy usage and implementation.
morealgorithms
#c23

Choosing the Best Dictionary in C++. Part 2: Unordered Containers | HackerNoon

Unordered containers in C++23 are hash maps without defined key order, offering efficient average-case time complexity but potential performance issues with rehashing.

Learn How to Pick the Correct Dictionary in C++ With Ordered Containers | HackerNoon

Selecting the most suitable associative container in C++ requires understanding various characteristics, including type, ordering, and internal structure.

Choosing the Best Dictionary in C++. Part 2: Unordered Containers | HackerNoon

Unordered containers in C++23 are hash maps without defined key order, offering efficient average-case time complexity but potential performance issues with rehashing.

Learn How to Pick the Correct Dictionary in C++ With Ordered Containers | HackerNoon

Selecting the most suitable associative container in C++ requires understanding various characteristics, including type, ordering, and internal structure.
morec23

Bloom Filters - Power in Simplicity | HackerNoon

Bloom filters are efficient membership-checking structures that utilize multiple hash functions for space-saving, accurate results.

Mastering Map, WeakMap, Set, and WeakSet in JavaScript

JavaScript's Maps and WeakMaps improve performance and memory management with advanced key features.

There's the easy way...

Using sets allows for O(1) lookup, optimizing the range-extension algorithm for longer integer sequences.

Efficiency Comparison Between the Codes

Your approach works, but it can be optimized for better performance by reducing file I/O operations.

Heap Sort Algorithm: Your Complete Implementation Guide

Heap Sort is efficient with a guaranteed O(n log n) time complexity, ideal for scenarios like priority queues.

The Algorithm for Inserting Sequences into Sequences | HackerNoon

Using traditional numbering systems for ordered data sequences is cumbersome during modifications, especially with large datasets.

I'm a software engineer at Amazon. Here's my step-by-step guide to nailing the technical interview and breaking into tech.

Clear career goals and tailored prep strategies are essential for passing technical interviews in tech.
#scala

Become a Scala Wizzard!

Scala covers key programming concepts like classes, objects, control abstractions, traits, and packages.
Scala emphasizes code reuse through traits and explores data structures like lists and collections.

Simple Hash Map with Scala in 15 minutes

Use chaining to resolve collisions in hash map implementation
Support operations add, remove, and get with immutability for new map creation.

Understanding the Pattern Matching in Scala.

Pattern matching in Scala allows for matching data structures like case classes and lists.
Sealed types in Scala are used for exhaustive pattern matching and restricting subclasses.

Self-Referential Expressions in Functional Programming With Scala Examples

Self-referential expressions form the backbone of recursion and data structures in functional programming.

Solving the 'Add Two Numbers' Problem on LeetCode-Scala Solutions Walkthrough

Scala is effective for data structures and concurrent programming.
Approach involves summing corresponding digits and managing carry.
Space complexity is O(n) due to creating new nodes for each sum digit.

Become a Scala Wizzard!

Scala covers key programming concepts like classes, objects, control abstractions, traits, and packages.
Scala emphasizes code reuse through traits and explores data structures like lists and collections.

Simple Hash Map with Scala in 15 minutes

Use chaining to resolve collisions in hash map implementation
Support operations add, remove, and get with immutability for new map creation.

Understanding the Pattern Matching in Scala.

Pattern matching in Scala allows for matching data structures like case classes and lists.
Sealed types in Scala are used for exhaustive pattern matching and restricting subclasses.

Self-Referential Expressions in Functional Programming With Scala Examples

Self-referential expressions form the backbone of recursion and data structures in functional programming.

Solving the 'Add Two Numbers' Problem on LeetCode-Scala Solutions Walkthrough

Scala is effective for data structures and concurrent programming.
Approach involves summing corresponding digits and managing carry.
Space complexity is O(n) due to creating new nodes for each sum digit.
morescala

Replace strings by views when you can

Using a single string buffer for integers drastically reduces memory consumption compared to multiple std::string instances.

Trie data structures: A guide for UX designers - LogRocket Blog

Trie data structures enhance search efficiency and user experience in applications like auto-complete and spell-checking.
#python

Python Basics Exercises: Dictionaries - Real Python

Dictionaries in Python store key-value pairs.
Understanding the structure and use of dictionaries in Python.

Sorting Dictionaries in Python: Keys, Values, and More - Real Python

Learn how to effectively sort dictionaries in Python.

Understanding Python Memory Efficiency: Tuples vs. Lists | HackerNoon

Tuples are generally more memory-efficient than lists due to their fixed size and immutability.

Python Pandas Tutorial to Learn Series and DataFrames

Pandas library is crucial for data analysis, providing Series and DataFrame structures.
Created by Wes McKinney in 2008, Pandas is widely used for data analysis in Python.

List slicing in Python

Slicing a list in Python creates a new list with a specified range.
In Python, the start index is inclusive while the stop index is exclusive in list slicing.

Python Basics: Lists and Tuples Quiz - Real Python

Interactive quiz covering Python's list and tuple basics.

Python Basics Exercises: Dictionaries - Real Python

Dictionaries in Python store key-value pairs.
Understanding the structure and use of dictionaries in Python.

Sorting Dictionaries in Python: Keys, Values, and More - Real Python

Learn how to effectively sort dictionaries in Python.

Understanding Python Memory Efficiency: Tuples vs. Lists | HackerNoon

Tuples are generally more memory-efficient than lists due to their fixed size and immutability.

Python Pandas Tutorial to Learn Series and DataFrames

Pandas library is crucial for data analysis, providing Series and DataFrame structures.
Created by Wes McKinney in 2008, Pandas is widely used for data analysis in Python.

List slicing in Python

Slicing a list in Python creates a new list with a specified range.
In Python, the start index is inclusive while the stop index is exclusive in list slicing.

Python Basics: Lists and Tuples Quiz - Real Python

Interactive quiz covering Python's list and tuple basics.
morepython

Equivalence versus Equality

Data structures in the library are equivalence-aware and type-safe, accommodating multiple valid equivalence relations depending on context.
#memory-management

Augmented Linked Lists: An Essential Guide | HackerNoon

Linked lists are efficient for fast addition of data without resizing the entire array, suitable for write-only data, and organizing data for sequential reads.

Augmented Tree Data Structures | HackerNoon

Data structures are key to efficient data storage and organization, crucial for memory management and optimizing software performance.

Augmented Linked Lists: An Essential Guide | HackerNoon

Linked lists are efficient for fast addition of data without resizing the entire array, suitable for write-only data, and organizing data for sequential reads.

Augmented Tree Data Structures | HackerNoon

Data structures are key to efficient data storage and organization, crucial for memory management and optimizing software performance.
morememory-management

Python Sequences: A Comprehensive Guide - Real Python

Sequences in Python include lists, tuples, strings, and range objects, sharing common characteristics like being iterable and having a length.

A Brief Survey of Data Structures (and a Little Digression about the Go Language)

Data structures store multiple values of the same type.
Access methods for data structures include sequential access, stacks, queues, and sorted lists.
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