Validating data input

It is tested on Python 2.7, 3.3, 3.4, 3.5, and 3.6, and Py Py.Colander can be used to: Schema is a library for validating Python data structures, such as those obtained from config-files, forms, external services or command-line parsing, converted from JSON/YAML (or something else) to Python data-types.The HTML form we will be working at in these chapters, contains various input fields: required and optional text fields, radio buttons, and a submit button: The validation rules for the form above are as follows: This code adds a script tag and an alert command.And when the page loads, the Java Script code will be executed (the user will see an alert box). These pages will show how to process PHP forms with security in mind.Proper validation of form data is important to protect your form from hackers and spammers!

The next step is to make input fields required and create error messages if needed.

If you are a system administrator, it is likely that you have encountered Perl, Bash or some other scripting language. Scripting languages are often used to do repetitive, tedious work at a rate and with an accuracy that far surpass what you could accomplish without them. We believe that Python is a valuable tool, specifically because it enables you to get your work done efficiently.

They have value only insofar as they help you get your job done better.

Here we’ve listed out 7 best python libraries which you can use for Data Validation:- Cerberus is a lightweight and extensible data validation library for Python.

Cerberus provides type checking and other base functionality out of the box and is designed to be non-blocking and easily extensible, allowing for custom validation.

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