Recently I have been thinking about how to improve development efficiency. From web crawlers to data processing, and then to artificial intelligence, Python’s strength lies in having a large set of out-of-the-box toolkits, so you do not have to reinvent the wheel, which greatly improves development efficiency. So why not modularize the functional pieces of a project and package them as reusable Python packages?

1. About Django’s Performance Django is a web application framework written in Python. With Django you can develop complex, data-driven websites very simply and efficiently. At the same time, Django pays close attention to component reusability, pluggability, agile development, and DRY (Don’t Repeat Yourself). To a certain extent, Django is an application framework very well suited to implementing business logic.

To respond quickly to user needs and meet the requirements of marketing campaigns, internet products usually have a very high release frequency. Adopting agile development shortens the delivery cycle and speeds up product iteration, but it also brings challenges to a project’s file management. Frontend engineering faces users directly, bears

1. Categories of Django Static Files Django static files fall into two categories: static and media. static: files referenced by pages, such as JS, CSS, and images media: files uploaded by users 2. Production Environment Configuration In production, you usually configure Nginx to forward static file requests while Django handles dynamic requests.

1. Returning the File Directly If the static file is at media/test.zip in the project root, you first have to read the file into memory and then transfer it. The code looks like this: settings.py configuration 1 2 PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__)) MEDIA_ROOT = os.path.join(PROJECT_ROOT, 'media/') yourapp/views.py 1 2 3 4 5 6 7 8 9 10 11 12 from django.