Python Pyramid interview questions | Freshers & Experienced

Python Pyramid is a microframework to write down web applications easily. Pyramid belongs to Python 2 and Python 3. Pyramid supported by Python enables the development of complicated and complex software with minimum effort.

The major features of Python Pyramid are

• Streamlined View Code- with Python Pyramid one can associate numerous views with just one single route.
• Efficient Transactions- With Python Pyramid’s transaction management system, there is little left for the user to do.
• Easy Configuration- The configuration system of Python Pyramid keeps a record of each and every statement. If a user accidentally adds two statements that are identical, then it will complain aloud at the startup time.
• Developers can create the most powerful apps with the help of the simplest parts.
• Python Pyramid comes with in-built authorization and well-tested authentication schemes.

Predicates in Python Pyramid are questions that return true or false. They also shorten the situations where view or routes are called. Moreover, predicates match the callable view with the home route and posts to the requests by HTTP.

Here are a few pros and cons of Python Pyramid Framework:

Pros:

• Python Pyramid is an exceedingly flexible, open-source framework
• It helps in the smart documentation and development of a complex application.
• Python Pyramid has a wide range of scalability that can be applied for different projects.

Cons of Python Pyramid are:

• The framework can be a little difficult to understand for someone who has a less experience with coding.
• Python Pyramid is now facing hard competition from both Flash and Django due to their amazing extensions.

Function decorators in Python Pyramid accept a function as the only parameter and also returns a function. A function decorator is useful to use the functionality within the same code repetitively. They are also helpful in the attachment of the data or attributes to the functions. Function decorators remove the redundancy in the Python pyramid.

In other words, it is a function that accepts a function in the form of argument and departs another function as a return value.

Renderers in Pyramid are used in place of a pyramid response interface when the latter cannot implement and construct a response. A renderer is associated with the call of the View through View Configuration (view_config()). If a view cannot return an object for a response, the renderer will convert the result to a response of the developer.

When a renderer is used, the return must be compatible with that particular type of renderer. Else an error may result during view invocation. There are several types of renderers present in Pyramid.

They are Built-In Renderers like:

• String Renderer
• JSON Renderer
• JSONP Renderer
• Chameleon Template Renderer
• Mako Template Renderer

You can install Python Pyramid using Pip command by following the given steps:

Make a virtual environment workspace:

-export VENV=~/env
-python3 -m venv $VENV

Consider using $VENV/bin/activate to make your shell environment wired to use the virtual environment.

Use pip to get Pyramid and its direct dependencies installed:

-$VENV/bin/pip install "pyramid==2.0

Some of the inbuilt renders of Python Pyramid are as follows:

• String Renderer - It renders a view callable result to a string.
• JSON Renderer - It renders view callable results to JSON.
• Adding and Changing Renderers - New templating systems and serializers can be associated with Pyramid renderer names.

Zope Page Templates is a package of Python that employs Templates for the Page in Zope but operates outside Zope. There is no need to install ZPT templates to implement it. ZPT can be used in reporting frameworks, web apps, and documentation systems. ZPT templates derive their namespace from the database of Zope. The namespace is populated in ZPT by producing an own template class for the page and overriding it by one key method.

The file is inserted into the ZPT instance by using the write() method. This creates a namespace for the template and needs to be rendered along with the context.

To use ZPT macros within Python Pyramid, the macro template should be available near the rendered template just bypassing the macro template into the latter. To insert all the macros inside a view and then passed onto a rendered template, just add:

macros = get_renderer('templates/main_template.pt').implementation().macros

The above should be added to the first code of the sample and extended to the returned dictionary.