Dharsan Decodes Data

Dharsan
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This podcast is a documentation of data concepts from scratch! We can connect over Linkedin @mahadharsan

  1. 30 ЯНВ.

    (Eng) S5 E4.2. Python essentials for DE II

    import requests url = "https://api.weather.com/v1/current" # Example URL try: response = requests.get(url, timeout=5) # Stop waiting after 5 seconds response.raise_for_status() # Automatically trigger an error if status isn't 200 data = response.json() print("Data fetched successfully!") except requests.exceptions.HTTPError as err: print(f"The Server had an issue: {err}") except requests.exceptions.ConnectionError: print("The Internet is down! Checking again in 5 minutes...") except Exception as e: print(f"Something weird happened: {e}") import os from dotenv import load_dotenv load_dotenv() # Load the secrets from the .env file api_key = os.getenv("WEATHER_API_KEY") print(f"Using API Key: {api_key[:4]}****") # Only print a tiny bit for safety

    11 мин.

  2. 29 ЯНВ.

    (Eng) S5 E4.1. Python essentials for DE

    pip install requests import requests # Telling Python we want to use this power-up # The "Waiter's" Address (A free API for current weather) url = "https://api.open-meteo.com/v1/forecast?latitude=13.08&longitude=80.27¤t_weather=true" # 1. Send the request response = requests.get(url) # 2. Convert the "mess" into a Python Dictionary data = response.json() # 3. Dig into the Dictionary to find the temperature # (Based on the JSON structure the API provides) current_temp = data["current_weather"]["temperature"] print(f"The current temperature in Chennai is {current_temp}°C")

    14 мин.

  3. 28 ЯНВ.

    (Tamil) S5 E3.4. Expert Level SQL

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    14 мин.

  4. 28 ЯНВ.

    (Tamil) S5 E3.3 Intermediate SQL

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    13 мин.

  5. 28 ЯНВ.

    (Tamil) S5 E3.2. Beginner level SQL

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    9 мин.

  6. 28 ЯНВ.

    (Tamil) S5 E3.1. SQL Map

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    12 мин.

  7. 28 ЯНВ.

    (Eng) S5 E2.4 God Level SQL

    Congrats!

    18 мин.

  8. 28 ЯНВ.

    (Eng) S5 E2.3. Intermediate SQL

    -

    19 мин.
См. все (37)

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This podcast is a documentation of data concepts from scratch! We can connect over Linkedin @mahadharsan

Информация

  • Автор
    Dharsan
  • Годы выхода
    2025 - 2026
  • Выпуски
    37
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © Dharsan
  • Сайт подкаста
    Dharsan Decodes Data