MASTER IN DATA SCIENCE AND BIG DATA

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Here are some practical examples of how Python can be used to automate tasks: Example : File Organization Suppose we have a large number of files in a directory and we want to organize them into subdirectories based on their extension. We can use Python to achieve this quickly and easily: ```python import you import shutil def file_organizedirectory: for filename in os.listdirdirectory: if os.path.isfileos.path.joindirectory, filename: extension  os.path.splitextfilename new_path  os.path.joindirectory, extension.strip'.'.upper os.makedirsnew_path, exist_okTrue shutil.moveos.path.joindirectory, filename, os.path.joinnew_path, filename organize_files"/path/to/files.


This simple script can save hours of manual work by Belarus WhatsApp Number automatically organizing files on a system. First, import the necessary libraries  osand shutil. It then recursively loops through the files in a directory, obtains their extension, creates a folder with the name of that extension, and moves the file to that folder. Automate Tasks with Python: Simplifying your daily work  img x Example : Bitcoin price extraction We can also use Python to extract data from the web, a technique known as web scraping . The following script, for example, extracts the current value of Bitcoin, allowing it to be monitored for investment or financial analysis purposes.





Take advantage of the opportunities of Big Data and become a Data Scientist I want to know more! ```python import requests def get_bitcoin_price: try: url  '' response  requests.geturl data  response.json price  data'bitcoin''usd' return price except Exception as e: print"Error getting Bitcoin price:", e return None bitcoin_price  get_bitcoin_price if bitcoin_price is not None: print"Current price of Bitcoin in USD:", bitcoin_price ``` In this example, the library is used requeststo extract data from the web, calling an API that returns the value of the bitcoin in dollars, and printing the value on the screen.