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Python Data Science jobs, interview tips, and career insights for aspiring professionals.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ”₯ Generating fake data in Python β€” no pain at all

If you're testing forms, mockups, or just want to play with data, there's Mimesis β€” a generator of fake data. Names, emails, addresses, and phone numbers. There's a location setting that allows you to select a country, and the data will be generated accordingly.

πŸ“¦ Installation:
from typing import Dict
from mimesis.enums import Gender
from mimesis import Person

def generate_fake_user(locale: str = "es", gender: Gender = Gender.MALE) -> Dict[str, str]:
    """
    Generates fake user data based on the locale and gender.

    :param locale: The locale (for example, 'ru', 'en', 'es')
    :param gender: The gender (Gender.MALE or Gender.FEMALE)
    :return: A dictionary with the fake user data
    """
    person = Person(locale)

    user_data = {
        "name": person.full_name(gender=gender),
        "height": person.height(),
        "phone": person.telephone(),
        "occupation": person.occupation(),
    }

    return user_data

if __name__ == "__main__":
    fake_user = generate_fake_user(locale="es", gender=Gender.MALE)
    print(fake_user)


πŸ“Œ Result:
{
  'name': 'Carlos Herrera',
  'height': '1.84',
  'phone': '912 475 289',
  'occupation': 'Arquitecto'
)


⚑️ Mimesis can:
πŸ–± Generate names, addresses, phone numbers, professions, etc. 
πŸ–± Work with different countries (πŸ‡·πŸ‡Ί ru, πŸ‡ΊπŸ‡Έ en, πŸ‡ͺπŸ‡Έ es, etc.) 
πŸ–± Suitable for tests, fake accounts, demo data in projects, and bots.

βš™οΈ GitHub/Instructions

Save it, it'll come in handy πŸ‘

#python #github #interview
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tags: #python #deeplearning

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➑ @CODEPROGRAMMER
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πŸ“° Stay up-to-date with the latest developments in lane-keeping technology for autonomous vehicles.


Key takeaways:

πŸš— Object detection: Lane-keeping systems rely on object detection to identify road features like lanes, lines, and even pedestrians. πŸ“Έ
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Practical examples:

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πŸ’» Read the full article: https://github.com/algorismo-au/lanekeep

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Learn more about Deep Agents and how it can help you harness the power of AI in your projects.Check out LangChain's website: https://talkpython.fm/sentry

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