Работа с YAML-Файлами в Python с Помощью Библиотеки PyYAML
PyYAML позволяет эффективно работать с файлами в формате YAML (YAML Ain't Markup Language), который широко используется для конфигураций, настроек и обмена данными в структурированной форме.
import yaml
data_to_write = {'name': 'John Doe', 'age': 30, 'city': 'Example City'}
with open('example.yaml', 'w') as file:
yaml.dump(data_to_write, file, default_flow_style=False)
with open('example.yaml', 'r') as file:
loaded_data = yaml.safe_load(file)
print(f"Загруженные данные: {loaded_data}")
Результат (файл example.yaml):
age: 30
city: Example City
name: John Doe
В этом примере мы используем PyYAML для записи словаря data_to_write в файл example.yaml и затем загружаем данные из этого файла обратно в переменную loaded_data.
Библиотека PyYAML предоставляет удобные средства для работы с данными в формате YAML в Python. Будь то сохранение конфигураций, обмен структурированными данными или другие сценарии, где YAML имеет преимущество, PyYAML обеспечивает легкость в использовании и читаемый код🐍
#python#yaml#pyyaml
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Chandra OCR 2 is a top OCR model that turns images and PDFs into structured Markdown, HTML, or JSON, keeping layout, tables, math, handwriting, and 90+ languages accurate—it leads benchmarks like olmOCR (85.9% overall) and multilingual tests (77.8% average). Install easily with `pip install chandra-ocr` for CLI use, local HuggingFace, or fast vLLM server; try the free playground first. You benefit by quickly digitizing complex docs with high precision, saving time on extraction and enabling easy editing or analysis without manual fixes.
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👩💻StackOverflow's 2019 Developer Survey Results👨💻
This year, nearly 90,000 developers took the survey. Here are some key results:
- For the 7th year in a row, #JavaScript is the most commonly used programming language, but #Python has risen in the ranks again.
- Over half of respondents had written their first line of code by the time they were 16, although this experience varies by country & by gender.
- Respondents were asked to think about the last time they solved coding problems with & without #StackOverflow. The data indicate that Stack Overflow saves a developer 30 to 90 minutes of time per week!
- About 65% of professional developers on Stack Overflow contribute to #OpenSource projects once a year or more.
- #Reddit & #YouTube were the most common answers to what social media site they use the most. (No #Telegram in the list! Wtf, StackOverflow!?)
🔗 Read more here.
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