AsyncDownloadProgressBar

Description

AsyncDownloadProgressBar is a Python script that allows you to download multiple files asynchronously using the asyncio framework. It provides a progress bar using the tqdm library to visually track the download progress. This script is designed to efficiently download large files concurrently.

Technology Used and Library Installation

To use the AsyncDownloadProgressBar script, you need to have Python installed on your system. The script uses the httpx library for making asynchronous HTTP requests and the tqdm library for displaying progress bars. You can install the required libraries using the following command:

pip install -r requirements.txt

Make sure you have pip installed and properly configured.

How to Use Using venv

1. Clone or download the repository to your local machine.

2. Navigate to the project directory using your terminal.

3. Create a virtual environment (venv) to isolate the project dependencies:

   python -m venv venv

4. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS and Linux:

     source venv/bin/activate

5. Install the required libraries from the requirements.txt file:

   pip install -r requirements.txt

6. Run the main.py script to start downloading the files asynchronously:

   python main.py

The script will initiate the asynchronous download of the specified files from the provided URLs. The progress bars will indicate the download progress for each file. Here is an example of how the download progress might look in the console:

http://ipv4.download.thinkbroadband.com/200MB.zip:  0%|■■■■■■■        | 0.00/210M [00:00<?, ?MB/s]
http://ipv4.download.thinkbroadband.com/50MB.zip:   0%|■■■■■          | 0.00/52.4M [00:00<?, ?MB/s]
http://ipv4.download.thinkbroadband.com/50MB.zip:   0%|■■■            | 0.00/52.4M [00:00<?, ?MB/s]

Once the downloads are complete, the script will exit.

Remember to deactivate the virtual environment after you are done using the script:

deactivate

Enjoy efficient and concurrent file downloads with the AsyncDownloadProgressBar script!

Note: The provided URLs in the main.py script are for demonstration purposes. You can modify the urls list in the script to specify your own URLs and filenames for downloading.