PYTHON FULL STACK INTERVIEW QUESTIONS
A full stack web developer interview will undoubtedly be incomplete if this question is not asked, especially at the freshers level. A candidate should take the time to discuss the competency required in various coding languages, as this is the foundation stone upon which a good professional can be built. He should discuss the coordination skills he will need while working in a team and emphasise excellent observation skills as a key factor in performing well in this role.
This is a discussion of any full stack web developer tool, technology, or skill that you believe is essential for a full stack web developer.
Python is a dynamically typed programming language. It means that you don’t have to specify the data type of variables when declaring them.
Python supports object-oriented programming by allowing you to define classes, as well as their composition and inheritance.
In Python, functions are similar to first-class objects. It implies that you can store them in variables, return them from other methods, and pass them as arguments.
Python development is quick, but running it is often slower than compiled languages.
Python has a wide range of applications, including web-based applications, test automation, data modelling, big data analytics, and much more.
Python packages and Python modules are two mechanisms in Python that allow for modular programming. There are several advantages to modularizing –
Working on a single module allows you to concentrate on a relatively small portion of the problem at hand. This simplifies development and reduces the likelihood of errors.
Modules are intended to enforce logical boundaries between different problem domains. Modifications to a module are less likely to impact other parts of the programme if they are written in a way that reduces interdependence.
Reusability: Module functions can be easily reused by other parts of the application.
Sometimes objects within the same scope have the same name but function differently. In such cases, scope resolution comes into play in Python automatically. A few examples of such behavior are:
Python modules namely ‘math’ and ‘cmath’ have a lot of functions that are common to both of them – log10(), acos(), exp() etc. To resolve this ambiguity, it is necessary to prefix them with their respective module, like math.exp() and cmath.exp().
Consider the code below, an object temp has been initialized to 10 globally and then to 20 on function call. However, the function call didn’t change the value of the temp globally.
Python is not an interpreted or compiled language. The implementation’s property is whether it is interpreted or compiled. Python is a bytecode (a set of interpreter-readable instructions) that is generally interpreted.
The source code is in the form of a.py file.
Python converts source code into instructions for a virtual machine. The Python interpreter is a virtual machine implementation. This intermediate format is known as “bytecode,” and it is created by compiling.py source code into.pyc, which is bytecode.