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#pythondataclass zoekresultaten

anastasiaz007's profile picture. “While you live, tell truth and shame the devil - Shakespeare Henry IV, Part 1, Act 3, Scene 1.
Anastasia Zoldak
@anastasiaz007
16 u

➜ 5/15 @dataclass class Judgment: case_id: str verdict: str findings: List[Finding] sentence: Optional[Dict[str, Any]] confidence: float rationale: str audit_log_id: str

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anastasiaz007's profile picture. “While you live, tell truth and shame the devil - Shakespeare Henry IV, Part 1, Act 3, Scene 1.
Anastasia Zoldak
@anastasiaz007
16 u

➜ 4/15 @dataclass class LegalRule: id: str text: str jurisdiction: str precedence_weight: float factors: Dict[str, float] @dataclass class Finding: issue: str conclusion: str confidence: float supporting_evidence_ids: List[str]

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anastasiaz007's profile picture. “While you live, tell truth and shame the devil - Shakespeare Henry IV, Part 1, Act 3, Scene 1.
Anastasia Zoldak
@anastasiaz007
16 u

➜ 3/15 @dataclass class EvidenceItem: id: str type: str content: Any credibility_score: float provenance: Dict[str, Any] @dataclass class Case: case_id: str jurisdiction: str charges: List[str] facts: Dict[str, Any] evidence:…

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testdrivenio's profile picture. Teaching practical programming through real-world applications. Tweets by @MikeHerman and @JanGiacomelli.
TestDriven.io
 @testdrivenio
5 dec.

Python tip: Use the "__post_init__" method in a dataclass for additional initialization after the default __init__ method runs. That’s useful for computing derived fields. Example 👇

testdrivenio's tweet image. Python tip: Use the "__post_init__" method in a dataclass for additional initialization after the default __init__ method runs. That’s useful for computing derived fields. Example 👇
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wormple_xp's profile picture. ケータイ📱好きな一般人。ハイエンド至上主義者 ガジェット/Hoi4/ポケモン/逆転裁判 /将棋 リプやフォローはお気軽に 巻き込みリプ、チラ裏引用リプ、反日サヨクは即ブロック 他SNS↓ 青空:wormple note: https://t.co/ljjUvihN78 mixi2:wormple_xp
わーむぷる
 @wormple_xp
5 dec.

Python3.7以上のデータ格納はdataclassを活用しよう #Python - Qiita - qiita.com/ttyszk/items/0… これを初めて知ったので試してる

wormple_xp's tweet card. はじめに Pythonでデータを格納する際に辞書や普通のクラスを使っていませんか？Python3.7からはデータ格納に便利なdataclassデコレータが用意されています。 この記事では公式ドキュメントやPEP557の説明ではいまいち掴めない、どういった時に便利で、なぜ使...
Python3.7以上のデータ格納はdataclassを活用しよう - Qiita
Bron: qiita.com
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PranavG_23_'s profile picture. Currently learning Data Analytics → Aspiring ML Engineer | 18 y/o building in public | #LearnInPublic
@pranav
 @PranavG_23_
3 dec.

📅 Day 9 – Data Analytics Journey 🔹 Python: • Revised polymorphism (not required for DA, but learning for better understanding) 🔹 SQL: • Solved filtering-data questions (operators) • Practiced what I learned yesterday #DataAnalytics #Python #SQL #LearnInPublic

PranavG_23_'s tweet image. 📅 Day 9 – Data Analytics Journey 🔹 Python: • Revised polymorphism (not required for DA, but learning for better understanding) 🔹 SQL: • Solved filtering-data questions (operators) • Practiced what I learned yesterday #DataAnalytics #Python #SQL #LearnInPublic
PranavG_23_'s tweet image. 📅 Day 9 – Data Analytics Journey 🔹 Python: • Revised polymorphism (not required for DA, but learning for better understanding) 🔹 SQL: • Solved filtering-data questions (operators) • Practiced what I learned yesterday #DataAnalytics #Python #SQL #LearnInPublic
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testdrivenio's profile picture. Teaching practical programming through real-world applications. Tweets by @MikeHerman and @JanGiacomelli.
TestDriven.io
 @testdrivenio
3 dec.

Python tip: You can define default values in a dataclass using "name: type = value" or with "field(default=value)". The latter provides more control, allowing features like metadata, init=False, or default factories. Example 👇

testdrivenio's tweet image. Python tip: You can define default values in a dataclass using "name: type = value" or with "field(default=value)". The latter provides more control, allowing features like metadata, init=False, or default factories. Example 👇
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OpenCastlabs's profile picture. Data Analyst Training Accelerator| Data Science | Business Intelligence | Microsoft Certification. #WhatData #OCL #Learning
OCL Learning
 @OpenCastlabs
3 dec.

Master Python Data Analysis! Learn to collect, clean, analyze & visualize data with pandas, numpy, matplotlib, seaborn & plotly. 📊 Hands-on training with real-world datasets to create pro reports & dashboards. #Python #DataAnalysis #DataViz opencastlabs.co.ke/data-analysis-…

OpenCastlabs's tweet card. Python Data Analysis training equips learners with the skills to collect, clean, analyze, and visualize data using powerful Python libraries such as pandas,
Data Analysis with Python - OCL Learning | Training, Consulting, Certification
Bron: opencastlabs.co.ke
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DigitalAcademyy's profile picture. 🎓 Welcome to Digital Academy ™ 👇🏻 Enroll Now and Learn #Programming Online 💌 Weekly Newsletter for #Python #Developers 🐍
Digital Academy 🎓
 @DigitalAcademyy
2 dec.

Dive into Python data types! 🐍 Numbers, strings, lists & more. Perfect for beginners! Learn the basics. Level up your coding skills! 💪 👉 youtube.com/watch?v=EXnA95… #Python #DataTypes #Coding #Programming #Tutorial #Beginner

DigitalAcademyy's tweet card. Data Types in Python: Number, String, List, Dictionary, Tuple, Set...

youtube.com

YouTube

Data Types in Python: Number, String, List, Dictionary, Tuple, Set...

Bron: youtube.com
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PranavG_23_'s profile picture. Currently learning Data Analytics → Aspiring ML Engineer | 18 y/o building in public | #LearnInPublic
@pranav
 @PranavG_23_
2 dec.

📅 Day 8 – Data Analytics Journey 🔹 Python: • Revised OOPs and inheritance 🔹 SQL: • Filtering data using operators • Comparison: =, >, <, >=, <= • Logical: AND, OR, NOT • Range: BETWEEN • Membership: IN, NOT IN • Pattern search: LIKE #DataAnalytics #Python #SQL

PranavG_23_'s tweet image. 📅 Day 8 – Data Analytics Journey 🔹 Python: • Revised OOPs and inheritance 🔹 SQL: • Filtering data using operators • Comparison: =, &amp;gt;, &amp;lt;, &amp;gt;=, &amp;lt;= • Logical: AND, OR, NOT • Range: BETWEEN • Membership: IN, NOT IN • Pattern search: LIKE #DataAnalytics #Python #SQL
PranavG_23_'s tweet image. 📅 Day 8 – Data Analytics Journey 🔹 Python: • Revised OOPs and inheritance 🔹 SQL: • Filtering data using operators • Comparison: =, &amp;gt;, &amp;lt;, &amp;gt;=, &amp;lt;= • Logical: AND, OR, NOT • Range: BETWEEN • Membership: IN, NOT IN • Pattern search: LIKE #DataAnalytics #Python #SQL
PranavG_23_'s tweet image. 📅 Day 8 – Data Analytics Journey 🔹 Python: • Revised OOPs and inheritance 🔹 SQL: • Filtering data using operators • Comparison: =, &amp;gt;, &amp;lt;, &amp;gt;=, &amp;lt;= • Logical: AND, OR, NOT • Range: BETWEEN • Membership: IN, NOT IN • Pattern search: LIKE #DataAnalytics #Python #SQL
PranavG_23_'s tweet image. 📅 Day 8 – Data Analytics Journey 🔹 Python: • Revised OOPs and inheritance 🔹 SQL: • Filtering data using operators • Comparison: =, &amp;gt;, &amp;lt;, &amp;gt;=, &amp;lt;= • Logical: AND, OR, NOT • Range: BETWEEN • Membership: IN, NOT IN • Pattern search: LIKE #DataAnalytics #Python #SQL
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sani_stance's profile picture. Regardless Of Your Ethnicity, Religion, Or Region, There's One Level Of Love I Have For You Just For Being A Human. Your Actions Decide What Happens Next.🇳🇬❤️
Muhammad Sani 🇳🇬✊️
@sani_stance
2 dec.

8. Data Science using Python From Saylor Academy learn.saylor.org/course/view.ph…

sani_stance's tweet image. 8. Data Science using Python From Saylor Academy learn.saylor.org/course/view.ph…
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sufyanmaan's profile picture. I write words, hike mountains, make things, read biographies of great entrepreneurs, simplify AI, and take on 30-day challenges, then share what I learn.
Sufyan Maan, M.Eng
@sufyanmaan
2 dec.

10. Introduction to Data Science with Python. In this online course to learn how to use Python to harness and analyze data. Learning Objectives: → Use popular libraries → Run basic ML models → Practice Python for modeling 🔗 edx.sjv.io/QjGQL3

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PratheekBurkha1's profile picture. Daten-Alchemist & Tech-Entrepreneur. Revolutioniere die Matrix von Sport & Lifestyle im digitalen Zeitalter.
Pratheek Burkhard
@PratheekBurkha1
1 dec.

Erstellen Sie eine leichte Python-DSL, um Datenqualitätsregeln klar und ausdrucksstark zu definieren. Komplexe Validierungslogik wird in einfache, wiederverwendbare Konfigurationen umgewandelt, die Ihr ganzes Datenteam versteht. #Python #DataQuality #DataScience

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testdrivenio's profile picture. Teaching practical programming through real-world applications. Tweets by @MikeHerman and @JanGiacomelli.
TestDriven.io
 @testdrivenio
1 dec.

Python tip: The "@dataclass" decorator automatically generates standard methods like __init__, __repr__, and __eq__ based on class attributes. Example 👇

testdrivenio's tweet image. Python tip: The &quot;@dataclass&quot; decorator automatically generates standard methods like __init__, __repr__, and __eq__ based on class attributes. Example 👇
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bbelderbos's profile picture. Co-founder @Pybites. Python developer & coach helping devs level up with project-based learning & modern Python. Start here → https://t.co/55nvP1WuHN
Bob Belderbos
 @bbelderbos
1 dec.

2️⃣ Small, named types over tuples/dicts Instead of returning `Tuple[str, str, int]` / `Dict[str, Any]`, create a small type: use a `dataclass` or a `NamedTuple` (immutable, very Rust-y). Your IDE can better assist you – and it’s much nicer for your future self and your team.

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OpenCastlabs's profile picture. Data Analyst Training Accelerator| Data Science | Business Intelligence | Microsoft Certification. #WhatData #OCL #Learning
OCL Learning
 @OpenCastlabs
1 dec.

Master Python Data Analysis! Learn to collect, clean, analyze & visualize data with pandas, numpy, matplotlib, seaborn & plotly. 📊 Hands-on training with real-world datasets to create pro reports & dashboards. #Python #DataAnalysis #DataViz opencastlabs.co.ke/data-analysis-…

OpenCastlabs's tweet card. Python Data Analysis training equips learners with the skills to collect, clean, analyze, and visualize data using powerful Python libraries such as pandas,
Data Analysis with Python - OCL Learning | Training, Consulting, Certification
Bron: opencastlabs.co.ke
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OpenCastlabs's profile picture. Data Analyst Training Accelerator| Data Science | Business Intelligence | Microsoft Certification. #WhatData #OCL #Learning
OCL Learning
 @OpenCastlabs
1 dec.

Master Python Data Analysis! Learn to collect, clean, analyze & visualize data with pandas, numpy, matplotlib, seaborn & plotly. 📊 Hands-on training with real-world datasets to create pro reports & dashboards. #Python #DataAnalysis #DataViz opencastlabs.co.ke/data-analysis-…

OpenCastlabs's tweet card. Python Data Analysis training equips learners with the skills to collect, clean, analyze, and visualize data using powerful Python libraries such as pandas,
Data Analysis with Python - OCL Learning | Training, Consulting, Certification
Bron: opencastlabs.co.ke
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grok's profile picture. https://t.co/fqNKQSiLQB @grok it
Grok
@grok
1 dec.

Sure, I'll deep dive into those Python concepts with examples and real-world use cases. 1. **Descriptors**: Customize attribute access. Example: class Temp: def __get__(self, obj, type=None): return 72. Usage: class Room: temp = Temp(). room = Room(); print(room.temp) # Outputs…

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