In this article, you’ll learn multiple ways to copy a file to another directory using Python’s built-in modules — shutil, os, and pathlib. Method 1: Using shutil.copy() (Most Common Way) import shutil import os source = ‘reports/summary.txt’ destination_dir = ‘backup/reports/’ # Make sure the destination directory exists os.makedirs(destination_dir, exist_ok=True) # Copy file to destination directory… Continue reading Python – Copy File to Another Directory
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Python – How to Copy Files
Copying files is a common task in Python when you need to back up data, duplicate files, or move content between directories. In this article, you’ll learn multiple ways to copy files in Python, including how to copy single files, entire directories, and even file metadata like timestamps and permissions. Method 1: Using shutil.copy() —… Continue reading Python – How to Copy Files
Python – How to zip files
When you need to compress multiple files or directories into a single archive, Python makes it easy using its built-in zipfile module. Python’s standard library offers the zipfile module for this. There are also third-party modules and strategies for efficiency on large files. In this article, you’ll learn how to create ZIP files in Python,… Continue reading Python – How to zip files
Python – How to Loop through files in a directory
When working with files you often need to loop through a directory to read, filter, or process files. # Example directory: /path/to/my_folder # Contains: file1.txt, image.png, data.csv, subdir/, etc. Recommended approach (short answer) Use pathlib for readability and cross-platform paths; use pathlib.rglob() or pathlib.glob() for pattern-based iteration. For maximum performance when you need filesystem metadata,… Continue reading Python – How to Loop through files in a directory
Python – Get list all functions in current file
When working with large Python scripts, you might want to list all functions defined in the current file — especially for debugging, documentation, or automation purposes. In this article, you’ll learn multiple ways to list all functions defined in the current script using modules like inspect, globals(), and ast. Method 1: Using inspect.getmembers() (Best &… Continue reading Python – Get list all functions in current file
Convert Python List to Dictionary with index as value
Converting a Python list to a dictionary with the index as value is useful when you need to map each element to its position inside the list. In this article, we will learn multiple methods to convert a list into a dictionary where keys are list items and values are their indexes. Example – fruits… Continue reading Convert Python List to Dictionary with index as value
Convert Python List to Dictionary with index as key
Converting a list into a dictionary where each item’s index becomes the key can be used when you want quick access to elements by their position. In this article, you’ll learn multiple ways to convert a list to a dictionary with the index as the key with multiple examples. fruits = [‘apple’, ‘banana’, ‘cherry’] output… Continue reading Convert Python List to Dictionary with index as key
How to list all Functions in a Python module
While exploring a new Python module, we often want to see all available functions. Mostly to understand what it offers without opening the source code manually. In this article, we’ll see different ways to list all functions in a Python module, using built-in libraries like dir(), inspect, and even command-line methods, with code examples. There… Continue reading How to list all Functions in a Python module
How to Access Columns by index in Pandas
In Pandas, accessing columns by their index is useful when you want to retrieve specific columns based on their position, rather than their name. This can be done using various methods, such as iloc[], iat[], or using columns to get the column name by position. In this article, we’ll explore these methods with examples. Pandas:… Continue reading How to Access Columns by index in Pandas
How to Access Column by Name in Pandas
Pandas: How to Access Columns by Name In Pandas, accessing columns by name is a very common operation. It’s simple and effective when you know the exact column name you’re working with. You can use the column name directly to access the data. This article will explore different ways to access columns by their names in… Continue reading How to Access Column by Name in Pandas