Skip to content

python

Removing Directories in Python

Remove Empty Directories in Python

To remove an empty directory, you can use os.rmdir() with os and Path.rmdir() with pathlib.

import os

directory_path = '/path/to/empty_directory'

try:
    os.rmdir(directory_path)
    print(f"The directory '{directory_path}' has been successfully removed.")
except OSError as e:
    print(f"Error: {directory_path} : {e.strerror}")
from pathlib import Path

directory_path = Path('/path/to/empty_directory')

try:
    directory_path.rmdir()
    print(f"The directory '{directory_path}' has been successfully removed.")
except OSError as e:
    print(f"Error: {directory_path} : {e.strerror}")

Flask based File Hosting (web app & api & python module & cli app)

This guide will walk you through creating a basic file hosting web application using Flask, a lightweight web framework for Python. The application will include features such as user login, file uploads, and file listing. We'll also explore adding a simple API for interacting with the application.

Prerequistes

  • python >=3.9

Setup Environment

  1. Create a requirements.txt file:
python-slugify
python-dotenv
Flask~=2.0.1

Managing Python Dependencies: Navigating pip, pipenv, poetry, conda and more

Introduction

In the realm of Python development, a crucial aspect is managing project dependencies effectively.

Python-logo-notext

This guide delves into four prominent tools—pip, pipenv, poetry, conda and more—each offering distinct approaches to dependency management. Grasping their strengths, weaknesses, and use cases empowers you to make informed decisions for your projects.

Seaborn in Practice: Syntax and Guide

Seaborn is a powerful data visualization library in Python that provides a high-level interface for drawing attractive and informative statistical graphics. One common misconception about Seaborn and programming in general is the necessity to remember all the syntax. In reality, it's more about understanding the tool's capabilities and how to leverage its functions to visualize data effectively.

So, what can i do exactly with seaborn ?

import the library

import seaborn as sns
sns.set(style="whitegrid")