#data-structures

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#python-programming

There's the easy way...

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

Pandas DataFrame to List in Python - PythonForBeginners.com

Python lists and dataframes are two of the most used data structures in python.While we use python lists to handle sequential data, dataframes are used to handle tabular data.In this article, we will discuss different ways to convert pandas dataframe to list in python.Convert Pandas DataFrame to a List of Rows
Each row in a pandas dataframe is stored as a series object with column names of the dataframe as the index and the values of the rows as associated values.

Pandas Assign New Columns to a DataFrame - PythonForBeginners.com

Pandas dataframes are the data structures that we use to handle tabular data in python.This article discusses different ways to assign new columns to pandas dataframe using the assign() method.The Pandas assign() Method
The assign() method is used to assign new columns to a pandas dataframe.It has the following syntax.

Create a Dictionary From a String in Python - PythonForBeginners.com

Strings and dictionaries are the two most used data structures in Python.We use strings for text analysis in Python.On the other hand, a dictionary is used to store key-value pairs.In this article, we will discuss how to create a dictionary from a string in Python.Create a Dictionary From a String Using for Loop
To create a dictionary from a string in Python, we can use a python for loop.

There's the easy way...

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

Pandas DataFrame to List in Python - PythonForBeginners.com

Python lists and dataframes are two of the most used data structures in python.While we use python lists to handle sequential data, dataframes are used to handle tabular data.In this article, we will discuss different ways to convert pandas dataframe to list in python.Convert Pandas DataFrame to a List of Rows
Each row in a pandas dataframe is stored as a series object with column names of the dataframe as the index and the values of the rows as associated values.

Pandas Assign New Columns to a DataFrame - PythonForBeginners.com

Pandas dataframes are the data structures that we use to handle tabular data in python.This article discusses different ways to assign new columns to pandas dataframe using the assign() method.The Pandas assign() Method
The assign() method is used to assign new columns to a pandas dataframe.It has the following syntax.

Create a Dictionary From a String in Python - PythonForBeginners.com

Strings and dictionaries are the two most used data structures in Python.We use strings for text analysis in Python.On the other hand, a dictionary is used to store key-value pairs.In this article, we will discuss how to create a dictionary from a string in Python.Create a Dictionary From a String Using for Loop
To create a dictionary from a string in Python, we can use a python for loop.
morepython-programming
#optimization

Efficiency Comparison Between the Codes

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

I wasn't going to write a CSV parser, really... - JSON Indepth

The library csv42 applies the following general techniques to get a good performance.First important thing is to not optimize based on your assumptions, but based on measurements.In general, it is best to write your code optimized to be simple to read, understand, and maintain.Only when there turns out to be a performance issue, you can effectively pinpoint the bottleneck and try to improve the performance.

Efficiency Comparison Between the Codes

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

I wasn't going to write a CSV parser, really... - JSON Indepth

The library csv42 applies the following general techniques to get a good performance.First important thing is to not optimize based on your assumptions, but based on measurements.In general, it is best to write your code optimized to be simple to read, understand, and maintain.Only when there turns out to be a performance issue, you can effectively pinpoint the bottleneck and try to improve the performance.
moreoptimization

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.
#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.

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.

Lua Tables: Techniques for Maintaining and Sorting Order in Arrays and Dictionaries | HackerNoon

Lua is a versatile programming language that excels in various applications due to its flexibility and efficiency.

How to Sort an Array in Java - A Complete Tutorial | HackerNoon

Java provides various methods for sorting arrays, including built-in methods and custom implementations.
Sorting involves rearranging elements in a list or array, primarily using comparison operators.

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.

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.

Lua Tables: Techniques for Maintaining and Sorting Order in Arrays and Dictionaries | HackerNoon

Lua is a versatile programming language that excels in various applications due to its flexibility and efficiency.

How to Sort an Array in Java - A Complete Tutorial | HackerNoon

Java provides various methods for sorting arrays, including built-in methods and custom implementations.
Sorting involves rearranging elements in a list or array, primarily using comparison operators.
moreprogramming

The Algorithm for Inserting Sequences into Sequences | HackerNoon

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

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.

Convert XML to YAML in Python - PythonForBeginners.com

XML and YAML are two of the most used file formats in software engineering.Sometimes, we need to convert an XML file to YAML or vice versa.This article discusses how to convert XML string or file to YAML format in Python.What is XML Format?XML is a markup language used for encoding documents in a human and machine-readable format.

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.

Convert XML to YAML in Python - PythonForBeginners.com

XML and YAML are two of the most used file formats in software engineering.Sometimes, we need to convert an XML file to YAML or vice versa.This article discusses how to convert XML string or file to YAML format in Python.What is XML Format?XML is a markup language used for encoding documents in a human and machine-readable format.
moresoftware-engineering
#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.
#efficiency

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.

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.

Data Structures in Python: A Comprehensive Guide

Data structures are fundamental concepts in computer science that organize and optimize data for efficient manipulation and problem-solving.

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.

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.

Data Structures in Python: A Comprehensive Guide

Data structures are fundamental concepts in computer science that organize and optimize data for efficient manipulation and problem-solving.
moreefficiency
#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.

Augmented Tree Data Structures | HackerNoon

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

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.
#documentation

How to assign a variable in Python

Trey Hunner Python 3.7-3.11*

How can you assign a variable in Python?An equals sign assigns in Python
In Python, the equal sign (=) assigns a variable to a value:
This is called an assignment statement.We've pointed the variable count to the value 4.
We don't have declarations or initializations
Some programming languages have an idea of declaring variables.

What's a Python Sequence? [Python Data Structure Series #2]

You started your journey through Python's main data structure categories in the first article in this series, which dealt with iterables.In this article, you'll focus on another term you'll often see in Python articles and documentation.You'll explore the Python sequence.'Sequence' is not the name of a single data type in Python.

Tapir 1.0 released

We're happy to announce the release of tapir 1.0!After almost 4 years of development and multiple 0.x releases, the declarative, type-safe web endpoints library has reached the important milestone of a stable release.libraryDependencies += "com.softwaremill.sttp.tapir"%% "tapir-core" % "1.0.0" import sttp.tapir._

How to assign a variable in Python

Trey Hunner Python 3.7-3.11*

How can you assign a variable in Python?An equals sign assigns in Python
In Python, the equal sign (=) assigns a variable to a value:
This is called an assignment statement.We've pointed the variable count to the value 4.
We don't have declarations or initializations
Some programming languages have an idea of declaring variables.

What's a Python Sequence? [Python Data Structure Series #2]

You started your journey through Python's main data structure categories in the first article in this series, which dealt with iterables.In this article, you'll focus on another term you'll often see in Python articles and documentation.You'll explore the Python sequence.'Sequence' is not the name of a single data type in Python.

Tapir 1.0 released

We're happy to announce the release of tapir 1.0!After almost 4 years of development and multiple 0.x releases, the declarative, type-safe web endpoints library has reached the important milestone of a stable release.libraryDependencies += "com.softwaremill.sttp.tapir"%% "tapir-core" % "1.0.0" import sttp.tapir._
moredocumentation
#introduction

API with NestJS #106. Improving performance through indexes with Prisma

The bigger our database, the more we need to care about its performance.A common way of improving it is through indexes.Therefore, this article introduces the idea of indexes and implements them through Prisma.You can find the code from this article in this repository.Introduction to indexes
In one of the recent articles, we've created a posts table.

Cruising through complex data

This post is a showcase of data wrangling techniques in Python, using glom.If you haven't heard of glom, it's a data transformation library and CLI designed for Python.Think HTML templating, but for objects, dicts, and other data structures.It's been almost five years since the first release of glom.

API with NestJS #106. Improving performance through indexes with Prisma

The bigger our database, the more we need to care about its performance.A common way of improving it is through indexes.Therefore, this article introduces the idea of indexes and implements them through Prisma.You can find the code from this article in this repository.Introduction to indexes
In one of the recent articles, we've created a posts table.

Cruising through complex data

This post is a showcase of data wrangling techniques in Python, using glom.If you haven't heard of glom, it's a data transformation library and CLI designed for Python.Think HTML templating, but for objects, dicts, and other data structures.It's been almost five years since the first release of glom.
moreintroduction

Pandas Series to DataFrame in Python - PythonForBeginners.com

Pandas series and dataframes are the two data structures that we use extensively to manipulate sequential or tabular data in Python.Sometimes, we need to convert one or multiple series objects to a dataframe in Python.This article discusses how to convert a pandas series to a dataframe in python.Convert Pandas Series to DataFrame Using the to_frame() Method
We can convert a pandas series to a dataframe using the to_frame() method.
#operating-system

malloc() function in C Programming Language | Codementor

The malloc function in C is used to dynamically allocate memory at runtime.This means that you can request memory from the operating system when your program is running, instead of having to specify the amount of memory you need before the program starts.In simple terms, malloc is a function that allows you to create a block of memory of a specified size and returns a pointer to the first byte of that block.

Convert XML to JSON in Python - PythonForBeginners.com

We use different file formats to store and transmit data generated from software systems.Sometimes, we need to convert an XML file to JSON to communicate between two software.This article discusses how to convert an XML file or string into JSON format in Python.What is XML?XML stands for Extensible Markup Language.

malloc() function in C Programming Language | Codementor

The malloc function in C is used to dynamically allocate memory at runtime.This means that you can request memory from the operating system when your program is running, instead of having to specify the amount of memory you need before the program starts.In simple terms, malloc is a function that allows you to create a block of memory of a specified size and returns a pointer to the first byte of that block.

Convert XML to JSON in Python - PythonForBeginners.com

We use different file formats to store and transmit data generated from software systems.Sometimes, we need to convert an XML file to JSON to communicate between two software.This article discusses how to convert an XML file or string into JSON format in Python.What is XML?XML stands for Extensible Markup Language.
moreoperating-system
#differences

Structured clones in javascript

The structuredClone function is a relatively new addition to the JavaScript language that was introduced in ECMAScript 2019 (ES10).It is similar to the JSON.stringify and JSON.parse methods in that it allows developers to serialize and deserialize objects, but with some important differences.The structuredClone function creates a deep copy of an object and its properties, including any child objects and functions, while preserving their type and behavior.

GitHub - giffeler/undoh: This Typescript module provides an undo class that can be used to implement a simple undo/redo mechanism.

Many programs, especially those with user interaction, have functions to undo or redo processing steps.Implementation usually requires providing a mechanism that produces an opposite of a particular action.These functions have an impact on an underlying data structure.This Typescript module provides an undo class that can be used to implement a simple undo/redo mechanism in programs.

Structured clones in javascript

The structuredClone function is a relatively new addition to the JavaScript language that was introduced in ECMAScript 2019 (ES10).It is similar to the JSON.stringify and JSON.parse methods in that it allows developers to serialize and deserialize objects, but with some important differences.The structuredClone function creates a deep copy of an object and its properties, including any child objects and functions, while preserving their type and behavior.

GitHub - giffeler/undoh: This Typescript module provides an undo class that can be used to implement a simple undo/redo mechanism.

Many programs, especially those with user interaction, have functions to undo or redo processing steps.Implementation usually requires providing a mechanism that produces an opposite of a particular action.These functions have an impact on an underlying data structure.This Typescript module provides an undo class that can be used to implement a simple undo/redo mechanism in programs.
moredifferences
#years

TypeScript 5.0 retools decorators

Microsoft published a beta release of TypeScript 5.0, the company's strongly typed JavaScript variant, on January 26.The new release aims to modernize decorators for class customization.Decorators, an upcoming ECMAScript feature, allow for customizing classes and their members in a reusable way, Microsoft noted in a blog post announcing the release.

Identity Crisis: How Modern Applications Generate Unique Ids

TL;DR: Use  so you don't need to worry about all this identifier complexity.It's 7:15 am and customer support is swamped.We just got featured on Good Morning America, and a whole bunch of first time customers are bumping into bugs.A customer would fill a shopping cart with items, check out, pay for the items, and then be presented with an order receipt with all the wrong items!

TypeScript 5.0 retools decorators

Microsoft published a beta release of TypeScript 5.0, the company's strongly typed JavaScript variant, on January 26.The new release aims to modernize decorators for class customization.Decorators, an upcoming ECMAScript feature, allow for customizing classes and their members in a reusable way, Microsoft noted in a blog post announcing the release.

Identity Crisis: How Modern Applications Generate Unique Ids

TL;DR: Use  so you don't need to worry about all this identifier complexity.It's 7:15 am and customer support is swamped.We just got featured on Good Morning America, and a whole bunch of first time customers are bumping into bugs.A customer would fill a shopping cart with items, check out, pay for the items, and then be presented with an order receipt with all the wrong items!
moreyears

Building A 500 Line API Regression Test Suite - PyBites

This article appeared as a Pybites email first.If you like it consider joining our friends list for weekly Python, developer and (!) mindset content ...Last year I built a cool API to post code images using our pybites-carbon tool.It will store the tip code in a database and store the code image in an S3 bucket.

ECMAScript proposal: iterator helpers

In this blog post, we look at the ECMAScript proposal "Iterator helpers" by Gus Caplan, Michael Ficarra, Adam Vandolder, Jason Orendorff, Kevin Gibbons, and Yulia Startsev.It provides utility methods for working with iterable data: .map(),.filter(),etc.The style of the proposed API clashes with the style of the current iteration API.

Implementation of Data Structures in JavaScript

JavaScript, like many other programming languages, provides built-in support for common data structures such as arrays, lists, and dictionaries.In this blog post, we will discuss how to implement some of the most common data structures in JavaScript.Arrays Arrays are one of the simplest and most commonly used data structures.

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.
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