#dataformats — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dataformats, aggregated by home.social.
-
I always found TOML's rules that define when and how tables can be extended later in the document quite insane: it depends on how a table was created (with a header or a dotted key) and you are somehow allowed to define a super-table later if you defined its sub-table first.
But my main problem with them isn't just that they are annoying to implement and largely irrelevant for real document, the main problem is that they are moot.The following is a perfectly valid TOML document:
```
fruit.apple.color = "red"
vegetable.cabbage.color = "green"
fruit.lemon.color = "yellow"
fruit.apple.taste = "sweet"
vegetable.cabbage.price = 1
fruit.lemon.taste = "sour"
```If the goal was to make messy documents unrepresentable, the standard has failed it and needs to reconsider the whole thing.
-
I always found TOML's rules that define when and how tables can be extended later in the document quite insane: it depends on how a table was created (with a header or a dotted key) and you are somehow allowed to define a super-table later if you defined its sub-table first.
But my main problem with them isn't just that they are annoying to implement and largely irrelevant for real document, the main problem is that they are moot.The following is a perfectly valid TOML document:
```
fruit.apple.color = "red"
vegetable.cabbage.color = "green"
fruit.lemon.color = "yellow"
fruit.apple.taste = "sweet"
vegetable.cabbage.price = 1
fruit.lemon.taste = "sour"
```If the goal was to make messy documents unrepresentable, the standard has failed it and needs to reconsider the whole thing.
-
I always found TOML's rules that define when and how tables can be extended later in the document quite insane: it depends on how a table was created (with a header or a dotted key) and you are somehow allowed to define a super-table later if you defined its sub-table first.
But my main problem with them isn't just that they are annoying to implement and largely irrelevant for real document, the main problem is that they are moot.The following is a perfectly valid TOML document:
```
fruit.apple.color = "red"
vegetable.cabbage.color = "green"
fruit.lemon.color = "yellow"
fruit.apple.taste = "sweet"
vegetable.cabbage.price = 1
fruit.lemon.taste = "sour"
```If the goal was to make messy documents unrepresentable, the standard has failed it and needs to reconsider the whole thing.
-
I always found TOML's rules that define when and how tables can be extended later in the document quite insane: it depends on how a table was created (with a header or a dotted key) and you are somehow allowed to define a super-table later if you defined its sub-table first.
But my main problem with them isn't just that they are annoying to implement and largely irrelevant for real document, the main problem is that they are moot.The following is a perfectly valid TOML document:
```
fruit.apple.color = "red"
vegetable.cabbage.color = "green"
fruit.lemon.color = "yellow"
fruit.apple.taste = "sweet"
vegetable.cabbage.price = 1
fruit.lemon.taste = "sour"
```If the goal was to make messy documents unrepresentable, the standard has failed it and needs to reconsider the whole thing.
-
I always found TOML's rules that define when and how tables can be extended later in the document quite insane: it depends on how a table was created (with a header or a dotted key) and you are somehow allowed to define a super-table later if you defined its sub-table first.
But my main problem with them isn't just that they are annoying to implement and largely irrelevant for real document, the main problem is that they are moot.The following is a perfectly valid TOML document:
```
fruit.apple.color = "red"
vegetable.cabbage.color = "green"
fruit.lemon.color = "yellow"
fruit.apple.taste = "sweet"
vegetable.cabbage.price = 1
fruit.lemon.taste = "sour"
```If the goal was to make messy documents unrepresentable, the standard has failed it and needs to reconsider the whole thing.
-
📰 Python Data Processing 2026: Deep Dive into Pandas, Polars, and DuckDB
Stop waiting for your CSVs to load. Learn how Pandas 2.x, Polars, and DuckDB are revolutionizing tabular data processing with Apache Arrow in 2026.
#csv #excel #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 TOML vs INI vs ENV: Why Configuration is Still Broken in 2026
Stop using .env files for secrets. Discover why INI, TOML, and ENV variables are failing modern dev teams in 2026 and how to fix your config workflow now.
#config #dataformats #devops #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs JSON Schema: Why 2026 is the Year of Type-Safe Data Contracts
Stop guessing your data types. Discover how Zod v4, JSON Schema Draft 2020-12, and TypeBox are revolutionizing API safety and performance in 2026.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs JSON Schema: Why 2026 is the Year of Type-Safe Data Contracts
Stop guessing your data types. Discover how Zod v4, JSON Schema Draft 2020-12, and TypeBox are revolutionizing API safety and performance in 2026.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs JSON Schema: Why 2026 is the Year of Type-Safe Data Contracts
Stop guessing your data types. Discover how Zod v4, JSON Schema Draft 2020-12, and TypeBox are revolutionizing API safety and performance in 2026.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs JSON Schema: Why 2026 is the Year of Type-Safe Data Contracts
Stop guessing your data types. Discover how Zod v4, JSON Schema Draft 2020-12, and TypeBox are revolutionizing API safety and performance in 2026.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs JSON Schema: Why 2026 is the Year of Type-Safe Data Contracts
Stop guessing your data types. Discover how Zod v4, JSON Schema Draft 2020-12, and TypeBox are revolutionizing API safety and performance in 2026.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 ELK Stack vs OpenTelemetry: The Ultimate Guide to Log Parsing in 2026
Is your observability platform a house of cards? Learn the truth about schema drift, AI-driven anomalies, and the real cost of log storage in 2026.
#logging #devops #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 ELK Stack vs OpenTelemetry: The Ultimate Guide to Log Parsing in 2026
Is your observability platform a house of cards? Learn the truth about schema drift, AI-driven anomalies, and the real cost of log storage in 2026.
#logging #devops #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 ELK Stack vs OpenTelemetry: The Ultimate Guide to Log Parsing in 2026
Is your observability platform a house of cards? Learn the truth about schema drift, AI-driven anomalies, and the real cost of log storage in 2026.
#logging #devops #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 JSON vs JSON5 vs YAML: The Ultimate Data Format Guide for 2026
Master the evolution of JSON, JSON5, and YAML in 2026. Learn how to handle massive payloads, avoid YAML bombs, and implement strict schema validation today.
#json #dataformats #standards #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
🛒 Ah, the modern marvel of squishing #IKEA into a flat text file! Because who doesn't want the thrill of assembling their own dataset from a jumble of words? 😂 #JSON was obviously too roomy, so they went ahead and invented 'CommerceTXT' - the IKEA of data formats. 🏗️📦
https://huggingface.co/datasets/tsazan/ikea-us-commercetxt #DataFormats #CommerceTXT #AssemblyThrill #ModernMarvel #HackerNews #ngated -
🛒 Ah, the modern marvel of squishing #IKEA into a flat text file! Because who doesn't want the thrill of assembling their own dataset from a jumble of words? 😂 #JSON was obviously too roomy, so they went ahead and invented 'CommerceTXT' - the IKEA of data formats. 🏗️📦
https://huggingface.co/datasets/tsazan/ikea-us-commercetxt #DataFormats #CommerceTXT #AssemblyThrill #ModernMarvel #HackerNews #ngated -
🛒 Ah, the modern marvel of squishing #IKEA into a flat text file! Because who doesn't want the thrill of assembling their own dataset from a jumble of words? 😂 #JSON was obviously too roomy, so they went ahead and invented 'CommerceTXT' - the IKEA of data formats. 🏗️📦
https://huggingface.co/datasets/tsazan/ikea-us-commercetxt #DataFormats #CommerceTXT #AssemblyThrill #ModernMarvel #HackerNews #ngated -
🛒 Ah, the modern marvel of squishing #IKEA into a flat text file! Because who doesn't want the thrill of assembling their own dataset from a jumble of words? 😂 #JSON was obviously too roomy, so they went ahead and invented 'CommerceTXT' - the IKEA of data formats. 🏗️📦
https://huggingface.co/datasets/tsazan/ikea-us-commercetxt #DataFormats #CommerceTXT #AssemblyThrill #ModernMarvel #HackerNews #ngated -
JSON Handling: Which Language Makes It Easier?!
JavaScript JSON vs PHP JSON - native vs functions, which wins? SURPRISING results!
#javascript #php #jsvsphp #json #jsonparsing #serialization #jsonencode #jsondecode #viralcoding #dataformats #programmingcomparison #mindblown
-
JSON Handling: Which Language Makes It Easier?!
JavaScript JSON vs PHP JSON - native vs functions, which wins? SURPRISING results!
#javascript #php #jsvsphp #json #jsonparsing #serialization #jsonencode #jsondecode #viralcoding #dataformats #programmingcomparison #mindblown
-
JSON Handling: Which Language Makes It Easier?!
JavaScript JSON vs PHP JSON - native vs functions, which wins? SURPRISING results!
#javascript #php #jsvsphp #json #jsonparsing #serialization #jsonencode #jsondecode #viralcoding #dataformats #programmingcomparison #mindblown
-
JSON Handling: Which Language Makes It Easier?!
JavaScript JSON vs PHP JSON - native vs functions, which wins? SURPRISING results!
#javascript #php #jsvsphp #json #jsonparsing #serialization #jsonencode #jsondecode #viralcoding #dataformats #programmingcomparison #mindblown
-
JSON Handling: Which Language Makes It Easier?!
JavaScript JSON vs PHP JSON - native vs functions, which wins? SURPRISING results!
#javascript #php #jsvsphp #json #jsonparsing #serialization #jsonencode #jsondecode #viralcoding #dataformats #programmingcomparison #mindblown
-
📰 Zod vs Yup vs TypeBox: The Ultimate Schema Validation Guide for 2025
Stop guessing your data's shape. Master Zod, Yup, and TypeBox to build bulletproof, type-safe TypeScript applications in 2025. Learn the latest features now.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs Yup vs TypeBox: The Ultimate Schema Validation Guide for 2025
Stop guessing your data's shape. Master Zod, Yup, and TypeBox to build bulletproof, type-safe TypeScript applications in 2025. Learn the latest features now.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs Yup vs TypeBox: The Ultimate Schema Validation Guide for 2025
Stop guessing your data's shape. Master Zod, Yup, and TypeBox to build bulletproof, type-safe TypeScript applications in 2025. Learn the latest features now.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs Yup vs TypeBox: The Ultimate Schema Validation Guide for 2025
Stop guessing your data's shape. Master Zod, Yup, and TypeBox to build bulletproof, type-safe TypeScript applications in 2025. Learn the latest features now.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 Zod vs Yup vs TypeBox: The Ultimate Schema Validation Guide for 2025
Stop guessing your data's shape. Master Zod, Yup, and TypeBox to build bulletproof, type-safe TypeScript applications in 2025. Learn the latest features now.
#validation #typescript #dataformats #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
📰 JSON vs YAML vs JSON5: The Truth About Data Formats in 2025
Is YAML a security nightmare? Discover the truth about JSON, JSON5, and YAML in 2025. Learn why your choice of data format impacts performance and safety.
#json #dataformats #standards #news
🌍 Also in: 🇪🇸 🇫🇷 🇩🇪 🇧🇷 🇮🇹
-
#TOON #JSON #TokenOptimization #DataFormats #LLM #AI #MachineLearning #Programming #Tech #JSON #TOON #TốiƯuToken #MôHìnhNgônNgữ #TríTuệNhânTạo #LậpTrình #CôngNghệ #DữLiệu
**Tóm tắt:** Việc sử dụng TOON có thể tiết kiệm 20-35% token khi xử lý các mảng dữ liệu đồng nhất (danh sách người dùng, nhật ký), nhưng lại có thể tốn thêm 15-20% token với dữ liệu cấu trúc lồng ghép phức tạp hoặc đối tượng cấu hình. TOON hiệu quả với dữ liệu dạng bảng, trong khi JSON vẫn tối ưu hơn cho cấu trúc lồng ghép sâu
-
#TOON #JSON #TokenOptimization #DataFormats #LLM #AI #MachineLearning #Programming #Tech #JSON #TOON #TốiƯuToken #MôHìnhNgônNgữ #TríTuệNhânTạo #LậpTrình #CôngNghệ #DữLiệu
**Tóm tắt:** Việc sử dụng TOON có thể tiết kiệm 20-35% token khi xử lý các mảng dữ liệu đồng nhất (danh sách người dùng, nhật ký), nhưng lại có thể tốn thêm 15-20% token với dữ liệu cấu trúc lồng ghép phức tạp hoặc đối tượng cấu hình. TOON hiệu quả với dữ liệu dạng bảng, trong khi JSON vẫn tối ưu hơn cho cấu trúc lồng ghép sâu
-
#TOON #JSON #TokenOptimization #DataFormats #LLM #AI #MachineLearning #Programming #Tech #JSON #TOON #TốiƯuToken #MôHìnhNgônNgữ #TríTuệNhânTạo #LậpTrình #CôngNghệ #DữLiệu
**Tóm tắt:** Việc sử dụng TOON có thể tiết kiệm 20-35% token khi xử lý các mảng dữ liệu đồng nhất (danh sách người dùng, nhật ký), nhưng lại có thể tốn thêm 15-20% token với dữ liệu cấu trúc lồng ghép phức tạp hoặc đối tượng cấu hình. TOON hiệu quả với dữ liệu dạng bảng, trong khi JSON vẫn tối ưu hơn cho cấu trúc lồng ghép sâu
-
#TOON #JSON #TokenOptimization #DataFormats #LLM #AI #MachineLearning #Programming #Tech #JSON #TOON #TốiƯuToken #MôHìnhNgônNgữ #TríTuệNhânTạo #LậpTrình #CôngNghệ #DữLiệu
**Tóm tắt:** Việc sử dụng TOON có thể tiết kiệm 20-35% token khi xử lý các mảng dữ liệu đồng nhất (danh sách người dùng, nhật ký), nhưng lại có thể tốn thêm 15-20% token với dữ liệu cấu trúc lồng ghép phức tạp hoặc đối tượng cấu hình. TOON hiệu quả với dữ liệu dạng bảng, trong khi JSON vẫn tối ưu hơn cho cấu trúc lồng ghép sâu
-
#TOON #JSON #TokenOptimization #DataFormats #LLM #AI #MachineLearning #Programming #Tech #JSON #TOON #TốiƯuToken #MôHìnhNgônNgữ #TríTuệNhânTạo #LậpTrình #CôngNghệ #DữLiệu
**Tóm tắt:** Việc sử dụng TOON có thể tiết kiệm 20-35% token khi xử lý các mảng dữ liệu đồng nhất (danh sách người dùng, nhật ký), nhưng lại có thể tốn thêm 15-20% token với dữ liệu cấu trúc lồng ghép phức tạp hoặc đối tượng cấu hình. TOON hiệu quả với dữ liệu dạng bảng, trong khi JSON vẫn tối ưu hơn cho cấu trúc lồng ghép sâu
-
Liebe Archiv-Bubble.
Gibt es Fachzeitschriften, die ich kennen sollte, wenn es um Nachrichten rund um das Thema (digitale) Archivarbeit geht?
• Auch Datenformate, Metadaten, Events etc.
• Zeitschriften aus D-A-CH aber auch englischsprachige Journale aus dem europäischen Ausland.Gerne boosten - Danke!
#Archiv #Archive #archives #dataformats #archivistodon -
Liebe Archiv-Bubble.
Gibt es Fachzeitschriften, die ich kennen sollte, wenn es um Nachrichten rund um das Thema (digitale) Archivarbeit geht?
• Auch Datenformate, Metadaten, Events etc.
• Zeitschriften aus D-A-CH aber auch englischsprachige Journale aus dem europäischen Ausland.Gerne boosten - Danke!
#Archiv #Archive #archives #dataformats #archivistodon -
Liebe Archiv-Bubble.
Gibt es Fachzeitschriften, die ich kennen sollte, wenn es um Nachrichten rund um das Thema (digitale) Archivarbeit geht?
• Auch Datenformate, Metadaten, Events etc.
• Zeitschriften aus D-A-CH aber auch englischsprachige Journale aus dem europäischen Ausland.Gerne boosten - Danke!
#Archiv #Archive #archives #dataformats #archivistodon -
Liebe Archiv-Bubble.
Gibt es Fachzeitschriften, die ich kennen sollte, wenn es um Nachrichten rund um das Thema (digitale) Archivarbeit geht?
• Auch Datenformate, Metadaten, Events etc.
• Zeitschriften aus D-A-CH aber auch englischsprachige Journale aus dem europäischen Ausland.Gerne boosten - Danke!
#Archiv #Archive #archives #dataformats #archivistodon -
Liebe Archiv-Bubble.
Gibt es Fachzeitschriften, die ich kennen sollte, wenn es um Nachrichten rund um das Thema (digitale) Archivarbeit geht?
• Auch Datenformate, Metadaten, Events etc.
• Zeitschriften aus D-A-CH aber auch englischsprachige Journale aus dem europäischen Ausland.Gerne boosten - Danke!
#Archiv #Archive #archives #dataformats #archivistodon -
🎉 Behold, the groundbreaking revelation: #Xz is not the Holy Grail of data formats! 🚀 Apparently, using xz for digital preservation is like using a sieve as a bucket—bound to fail. Who knew? 🤦♂️ Stick to #bzip2, #gzip, or #lzip if you want actual functionality and avoid sinking your data into the abyss of inadequacy. 🔍💾
https://www.nongnu.org/lzip/xz_inadequate.html #dataformats #digitalpreservation #HackerNews #ngated -
🎉 Behold, the groundbreaking revelation: #Xz is not the Holy Grail of data formats! 🚀 Apparently, using xz for digital preservation is like using a sieve as a bucket—bound to fail. Who knew? 🤦♂️ Stick to #bzip2, #gzip, or #lzip if you want actual functionality and avoid sinking your data into the abyss of inadequacy. 🔍💾
https://www.nongnu.org/lzip/xz_inadequate.html #dataformats #digitalpreservation #HackerNews #ngated -
🎉 Behold, the groundbreaking revelation: #Xz is not the Holy Grail of data formats! 🚀 Apparently, using xz for digital preservation is like using a sieve as a bucket—bound to fail. Who knew? 🤦♂️ Stick to #bzip2, #gzip, or #lzip if you want actual functionality and avoid sinking your data into the abyss of inadequacy. 🔍💾
https://www.nongnu.org/lzip/xz_inadequate.html #dataformats #digitalpreservation #HackerNews #ngated -
🎉 Behold, the groundbreaking revelation: #Xz is not the Holy Grail of data formats! 🚀 Apparently, using xz for digital preservation is like using a sieve as a bucket—bound to fail. Who knew? 🤦♂️ Stick to #bzip2, #gzip, or #lzip if you want actual functionality and avoid sinking your data into the abyss of inadequacy. 🔍💾
https://www.nongnu.org/lzip/xz_inadequate.html #dataformats #digitalpreservation #HackerNews #ngated
