In this blog for Python interview questions answer, we will introduce the top questions frequently asked by interviewers. This is a perfect guide to learn all the concepts in detail to clear the Python interview successfully. With this guide, you can accelerate the interview preparation and get your dream job right away. If you are planning to start a career in Python and wish to enhance your skills then this is the right time to dive in and start your work immediately. All these questions in the blog are prepared by expert mentors having wide industry experience in Python programming.
Lists are mutable and easy to edit. Lists are slower than tuples. At the same time, Tuples are immutable and not possible to edit. Tuples are faster than List.
The various benefits of Python programming language are given below -
The memory management in Python is achieved by the heap space. All the function, objects are declared in the private heap. Programmers would not be able to access this private heap but taken care by the interpreter itself. The memory allocation is done through the memory manager and programmers are given some tools to code the programs. There is one garbage collector too that recycles the unused memory and frees it up for further use.
A Shallow copy is used when new instances are created and it will store the values contained by the new instance. It is used to reference pointers as well. A Deep copy is used to store values that are already copied. It is not suitable to reference pointers but reference objects.
Python has multithreading packages and it makes sure that only one thread should be executed at one time. The threads will execute so quickly like executing in parallel and it will speed up the overall coding time too. According to expert programming, using multithreading packages is not a good idea in Python.
The ternary operators in Python are used to show the conditional statements and the final output will be either true or false based on the evaluation.
Flask is a micro-framework based on two platforms i.e. Werkzeug, and Jinja2 with little or no dependencies and a few external libraries. The biggest benefit of the platform is that it has fewer security bugs and easy to update as well. There is one session that allows you to remember information from one request to another. Also, you could use sessions to look at the content and modify it. The users would be able to modify the content only in the presence of the secret key Flask.secret_key.
Inheritance is the process of inheriting the attributes of one class to another that provides reusability and makes it easy to maintain the application too. The class that is inherited is a superclass and the class that is inheriting the properties of another class is derived class. There are different types of inheritances supported by Python. These are –
As the name suggests, help () function is used to display documentation and help related modules, keywords, attributes etc. The Dir () function is used to define symbols.
Every time when Python exists, the objected having reference to other objects are not de-allocated automatically. This is not possible to free up the objects that are reserved by the C library. When the Python exists, it has a special cleaning mechanism and it will destroy the maximum objects automatically.
Dictionary is the built-in database that defines the relationship among keys and values. Dictionaries are usually indexed by keys.
There is special technique “Monkey Patching” term is used to modify a class or function dynamically at the runtime.
Each sequence in Python is indexed and it may consist of either positive or negative numbers. The index for positive number starts from zero and the index for negative numbers start from minus 1 onwards.
The compilation and linking in Python allow new extensions to be compiled properly without any bug and linking is performed when the compiled procedures are passed. For the dynamic loading, there is one special mechanism is used in Python within the system. Further, the interpreter is used to provide the dynamic loading of configuration files and it could rebuild the interpreter as well.
Yes, you can generate the random number in Python with the random module and the process is given below in the example –
For most of the programmers, range and xrange both are almost the same when it comes to functionality. They are used to generate a complete list of integers and can be used as per your convenience. They are different in term of return values. For example, range variable will return the Python list object and xrange will return the xrange object.
Pickle module has the capability to accept the Python objects and convert the same into a string representation and dumps the same into a file with the help of a dump function. This complete process is named as the pickling in python. On the other hand, the process of accessing original Python objects from stored string representation is named as the unpickling process.
Django is used to support the large apps in Python and provides the flexibility to programmers to use the right tools for their project. The developers are free to choose the tools, templates, URL structure and more.
Django templates contain variables that can be replaced with other values based on your requirements.
The objective of sessions in the Django framework is used to store or retrieve the data on visitor basis. That’s all for the day! All the Best.
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