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Posts tagged #DataTypes on Bluesky
No Need To Be Jealous

No Need To Be Jealous

No Need To Be Jealous

#string #Char #Datatypes #Programminglogic #Showerthoughts

programmerhumor.io/programming-memes/no-nee...

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Adapter Code: GetSpecificationLines Explained Simply! #shorts
Adapter Code: GetSpecificationLines Explained Simply! #shorts A look at an adapter with simple code. The translator's GetSpecificationLines is called twice, as there are 2 types of data. These are merged together, including repair, retread, and repair-only data. #adapterpattern #datatypes #coding #software #mergingdata

ICYMI: Adapter Code: GetSpecificationLines Explained Simply! #shorts: A look at an adapter with simple code. The translator's GetSpecificationLines is called twice, as there are 2 types of data. These are merged together, including repair, retread, and repair-only data. #adapterpattern #datatypes

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Find Your Place

Find Your Place

Find Your Place

#Boolean #Memoryoptimization #Datatypes #computerscience #Storage

programmerhumor.io/programming-memes/find-y...

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Things I worked through today:

- Column clustering into graph object representing correlation between variables
- Apple's Developer App - don't even get me started

#genAI #llm #statistics #dataTypes #dataFormats #analystProgrammer #data #python #statsmodels #scikitLearn #rustLang #swift #iOS

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Adapter Code: GetSpecificationLines Explained Simply! #shorts
Adapter Code: GetSpecificationLines Explained Simply! #shorts A look at an adapter with simple code. The translator's GetSpecificationLines is called twice, as there are 2 types of data. These are merged together, including repair, retread, and repair-only data. #adapterpattern #datatypes #coding #software #mergingdata

Adapter Code: GetSpecificationLines Explained Simply! #shorts: A look at an adapter with simple code. The translator's GetSpecificationLines is called twice, as there are 2 types of data. These are merged together, including repair, retread, and repair-only data. #adapterpattern #datatypes #coding

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Tipos de datos en Go Introducción En los artículos anteriores has aprendido qué son las variables y las constantes en Go, y cómo se declaran. Con eso ya eres capaz de dar nombre a valores y trabajar con ellos.

Las variables y las constantes tienen un tipo de dato asociado. Hasta este momento había evitado hablar de esos tipos. En este artículo introduzco los tipos de datos primitivos de Go.

www.lateclaescape.com/post/2026/go...

#LaTeclaESC #golang #datatypes

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Just A Simple Boolean Question

Just A Simple Boolean Question

Just A Simple Boolean Question

#Boolean #Datatypes #Typesafety #Apidesign #Programminghumor

programmerhumor.io/programming-memes/just-a...

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Virtual DuPSUG - December 2025 - Jeff Wouters
Virtual DuPSUG - December 2025 - Jeff Wouters YouTube video by DuPSUG

The session from Jeff Wouters from the December Virtual DuPSUG (Dutch PowerShell User Group) Meetup is also live on YouTube! www.youtube.com/watch?v=2GBy...

#PowerShell #DuPSUG #Dotnet #DataTypes

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Best Integer Type

Best Integer Type

Best Integer Type

#Int32 #Int64 #Signedintegers #Datatypes #Brainmeme

programmerhumor.io/programming-memes/best-i...

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The Complete Guide to Pydantic for Python Developers - MachineLearningMastery.com In this article, you will learn how to use Pydantic to validate, parse, and serialize structured data in Python using type hints.

Python's ability to work with various data types is useful but can also cause runtime errors with unexpected formats. It's important to handle data carefully to avoid issues. #DataTypes #ErrorHandling machinelearningmastery.com/the-complete-guide-to-py...

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Finally A Real-World Example Of Why Null Is Scarier Than 0

Finally A Real-World Example Of Why Null Is Scarier Than 0

Finally A Real-World Example Of Why Null Is Scarier Than 0

#programming #debugging #Codinghumor #Datatypes #Errorhandling

programmerhumor.io/programming-memes/finall...

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Just A Simple Boolean Question

Just A Simple Boolean Question

Just A Simple Boolean Question

#programming #validation #Codequality #Programminglogic #Datatypes

programmerhumor.io/programming-memes/just-a...

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Just A Simple Boolean Question

Just A Simple Boolean Question

Just A Simple Boolean Question

#programming #string #Programminglogic #Codehumor #Datatypes

programmerhumor.io/programming-memes/just-a...

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A fascinating discussion point: exploring alternative signed integer representations. Could specific bit patterns (e.g., `0xFF`) represent NaN values, mirroring floating-point behavior? It sparks thought on integer design. #DataTypes 3/5

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I don't know who needs to hear this, but data frames are NOT native Python objects. You need special libraries to use them, and downstream software does not natively support data frame inputs.

#theMoreYouKnow #tedTalk #dataVisualization #python #rstats #dataTypes #dataFrames

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Data Types ใน SQL คืออะไร

อ่านต่อ : www.blockdit.com/posts/68a026...

#ShoperGamer #Data #Type #DataTypes #SQL #DataBase #DB #Study #Knowledge #Feed

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Check your knowledge of declaring variables with this quiz.

Learn more: learn.java/learning/tut...

#java #learnjava #teachjava #javaprogramming #beginningprogramming #introtoCS
#beginningprogrammer #variables #datatypes #beginningprogrammingwithjava

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The TechBeat: Navigating MySQL Data Types: Sets and Enums (8/10/2025) How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ##...

The TechBeat: Navigating MySQL Data Types: Sets and Enums (8/10/2025) #Technology #SoftwareEngineering #ProgrammingLanguages #MySQL #DataTypes

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Hobbit vs Hobbyte: The Ultimate Memory Optimization

Hobbit vs Hobbyte: The Ultimate Memory Optimization

Hobbit vs Hobbyte: The Ultimate Memory Optimization

#programming #Programminghumor #Datatypes #Namingconventions #Lordoftherings

programmerhumor.io/programming-memes/hobbit...

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Python Variables and Data Types Explained Simply In Python, variables and data types are fundamental concepts that you'll use in nearly every program you write. Understanding how to use variables and recognize different dat...

Python Variables and Data Types Explained Simply #Python #Variables #Datatypes #Integer #Float #String #Boolean #List #Dictionary #Conversion #Assignment #Manipulation #Data #Programming

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Day 17 of Java Mastery: Intro to Data Types Hey there, coding adventurers! Remember how we used the var keyword and let Java figure out what kind of data we were dealing with? That magic was possible thanks to type inference. But there's something more beneath the surface - a hidden world of data types that makes everything work! Today, we're going to explore that world, and trust me, understanding data types will give you an even better grasp of coding.

🧱 Day 17 of Java Mastery: Introduction to Data Types in Java

📘 Read Blog: https://wp.me/paNbWh-9c

What data type confused you the most when you started coding? Let’s talk 👇

#Java #JavaMastery #Day17 #DataTypes #LearnJava #100DaysOfCode #JavaBasics #ProgrammingTips #CodeNewbie

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https://medium.com/learning-data/understanding-data-shift-in-machine-learning-causes-types-and-consequences-cd31a7afcef3?source=rss----eec44e936bf1---4 Causes, Types, and Consequences of Data Shift (a.k.a. Data Drift)

Understanding the causes and consequences of #DataShift is crucial in the world of data science. Stay informed on how to adapt to different #DataTypes to mitigate risks and maximize insights. #DataDrift medium.com/learning-data/understand...

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Understanding Python Type Hierarchy Python is a dynamically types language, which means that the type of a variable is determined at runtime. Understanding the type hierarchy in Python is crucial for writing efficient and error-free code. This article will provide a detailed yet easy to understand overview of Python's type hierarchy. ## **Basic Types** * **int:** Represents integer values. * **float:** Represents floating-point numbers. * **complex:** Represents complex numbers. * **bool:** Represents Boolean values(True or False), which is a subclass of int. * **str:** Represents string values, which are sequences of characters. ## **Sequence Types** Sequence types are collections that maintain the order of their elements and allow for indexing and slicing: * **str:** Immutable sequence of characters. * **list:** An ordered, mutable collection of items. * **tuple:** An ordered, immutable collection of items. * **range:** Represents an immutable sequence of numbers, commonly used for looping a specific number of times in for loops. ## **Set Types** Set types are collections of unique items: * **set:** An unordered collection of unique items. * **frozenset:** An immutable version of a set. ## **Mapping Types** Mapping types are collections of key-value pairs: * **dict:** A collection of key-value pairs. ## **Special Types** There are also some special types in Python: * **NoneType:** Represents the absence of a value, with a single instance None. * **type:** The type of all types, including itself. ## **Other Built-in Types** Python also includes several other built-in types: * **bytes:** Represents immutable sequences of bytes. * **bytearray:** Represents mutable sequences of bytes. * **memoryview:** Provides a view of the memory of another binary object.
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Understanding Python Type Hierarchy Python is a dynamically types language, which means that the type of a variable is determined at runtime. Understanding the type hierarchy in Python is crucial for writing efficient and error-free code. This article will provide a detailed yet easy to understand overview of Python's type hierarchy. ## **Basic Types** * **int:** Represents integer values. * **float:** Represents floating-point numbers. * **complex:** Represents complex numbers. * **bool:** Represents Boolean values(True or False), which is a subclass of int. * **str:** Represents string values, which are sequences of characters. ## **Sequence Types** Sequence types are collections that maintain the order of their elements and allow for indexing and slicing: * **str:** Immutable sequence of characters. * **list:** An ordered, mutable collection of items. * **tuple:** An ordered, immutable collection of items. * **range:** Represents an immutable sequence of numbers, commonly used for looping a specific number of times in for loops. ## **Set Types** Set types are collections of unique items: * **set:** An unordered collection of unique items. * **frozenset:** An immutable version of a set. ## **Mapping Types** Mapping types are collections of key-value pairs: * **dict:** A collection of key-value pairs. ## **Special Types** There are also some special types in Python: * **NoneType:** Represents the absence of a value, with a single instance None. * **type:** The type of all types, including itself. ## **Other Built-in Types** Python also includes several other built-in types: * **bytes:** Represents immutable sequences of bytes. * **bytearray:** Represents mutable sequences of bytes. * **memoryview:** Provides a view of the memory of another binary object.
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Is there a meaningful explanation for this weird PostgreSQL behaviour of the char datatype? In PostgreSQL (9.6), suppose that we have a table with a char(3) column with an empty string: create table ztest (col1 char(3)); insert into ztest values (''); Why do the operators CONCAT, ||, = a...

Is there a meaningful explanation for this weird PostgreSQL behaviour of the char datatype? – d...

dba.stackexchange.com/questions/346217/is-ther...

#postgresql #datatypes #operator

Event Attributes

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Day-18: Understanding Return Datatypes in Java **Return Datatypes:** A return type specifies what kind of value a method gives back when it finishes running. If a method doesn't return anything, we use void. 1). Returning an Integer public int add(int a, int b) { return a + b; } 2). Returning a String public String greet(String name) { return "Hello, " + name; } 3. public void printMessage(String message) { System.out.println(message); } the return datatype specifies what type of data a method will return, and it must match the actual returned value in the method body. If the method doesn't return anything, use void. **Example code for Return Datatype:** public class Calculator2 { // Adds two numbers and returns the result public int add(int no1, int no2) { // parameters & int retunr datatype return no1 + no2; } // Multiplies two numbers and returns the result public int multiply(int no1, int no2) { return no1 * no2; } // Divides two numbers, if no2 is not zero public void division(int no1, int no2) { // void return datatype if (no2 != 0) { System.out.println("Division result: " + (no1 / no2)); } else { System.out.println("Cannot divide by zero."); } } public static void main(String[] args) { Calculator2 calc = new Calculator2(); int result = calc.add(10, 20); System.out.println("Addition result: " + result); int multiplyOutput = calc.multiply(result, 2); System.out.println("Multiplication result: " + multiplyOutput); // Create a Calculator3 instance and use the subtractor method Calculator3 calculator3 = new Calculator3(); int subtractor = calculator3.subtractor(result, 5); System.out.println("Subtraction result: " + subtractor); int subtractor1 = calculator3.subtractor(multiplyOutput, 7); System.out.println("Subtraction by 7 result: " + subtractor1); calc.division(result, 2); // } } class Calculator3 { // Subtracts two numbers and returns the result public int subtractor(int no1, int no2) { return no1 - no2; } } **Key Takeaways** ✔ Every method must declare a return type (or void). ✔ Return types enforce type safety (Java checks compatibility). ✔ void methods are for actions, not computations. ✔ Always return the correct data type (or face compiler errors). **Final Thought** Understanding return types is crucial for writing correct and reusable Java methods. Whether returning a value or performing an action, always choose the appropriate type to make your code clear and reliable. Note: The formatting and structure were optimized for clarity with AI assistance. --------------------------- End of the Blog ------------------------------
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#GSPy - A New #Toolbox & #DataStandard For #Geophysical #Datasets
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doi.org/10.3389/fear...
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#GIS #spatial #mapping #geophysics #NetCDF #datatypes #code #opensource #library #dataformats #standardisation #openstandard #metadata #Python #package #workflows #xarray #opendata #architecture #toolbox

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Ever wondered which tree data is continuous? 🌲 We break down 4 options to uncover the answer and explain the concepts of continuous vs. discrete data. Perfect for students and curious minds! 💡 Watch till the end to learn! #DataTypes #ContinuousData #LearningTikTok

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Pandas DataFrames, numeric columns are sometimes converted to float.

#PandasDataFrame #DataScience
#PythonProgramming #DataAnalysis
#DataTypes #FloatToInt #NumericData
#DataPrecision #CodingTips #MachineLearning
#codebreakdown #devlife #codingconundrums #codebreakdown #codingconundrums #devlife

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