Python's readability, ease of use, large standard library, and third-party module compatibility make it a flexible language that is frequently used for automation and scripting.
In order to save time and minimize human error, Python scripts can automate routine or tedious processes including data processing, file management, and email automation. File and directory operations are supported via the os, shutil, and glob modules, among others; data processing is possible with the help of modules like pandas.
Example: A simple Python script to organize files in a directory by moving them into folders based on their extension.
import os import shutil # Directory to organize directory = "/path/to/directory" for filename in os.listdir(directory): if not os.path.isfile(os.path.join(directory, filename)): continue # Skip directories # Extracting file extension file_extension = filename.split('.')[-1] # Creating a directory for the file extension if it doesn't exist extension_dir = os.path.join(directory, file_extension) if not os.path.exists(extension_dir): os.makedirs(extension_dir) # Moving the file shutil.move(os.path.join(directory, filename), os.path.join(extension_dir, filename)) print("Files organized by extension.") |
This script arranges the files within the given directory according to their file extension into subdirectories. For example, organizing download folders can benefit from this.
Python's readability, ease of use, large standard library, and third-party module compatibility make it a flexible language that is frequently used for automation and scripting.
In order to save time and minimize human error, Python scripts can automate routine or tedious processes including data processing, file management, and email automation. File and directory operations are supported via the os, shutil, and glob modules, among others; data processing is possible with the help of modules like pandas.
Example: A simple Python script to organize files in a directory by moving them into folders based on their extension.
import os import shutil # Directory to organize directory = "/path/to/directory" for filename in os.listdir(directory): if not os.path.isfile(os.path.join(directory, filename)): continue # Skip directories # Extracting file extension file_extension = filename.split('.')[-1] # Creating a directory for the file extension if it doesn't exist extension_dir = os.path.join(directory, file_extension) if not os.path.exists(extension_dir): os.makedirs(extension_dir) # Moving the file shutil.move(os.path.join(directory, filename), os.path.join(extension_dir, filename)) print("Files organized by extension.") |
This script arranges the files within the given directory according to their file extension into subdirectories. For example, organizing download folders can benefit from this.
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
6 Top Tips for Learning Python
The following is a step-by-step guide for beginners interested in learning Python using Windows.
Best YouTube Channels to Learn Python
Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.
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