Interviews are stressful for everyone. Candidates are trying to present themselves as fitting for the job and great employees while hiring managers want to create a comfortable environment and find their perfect employee through a couple of basic Python interview questions.
However, a little bit of preparation goes a long way for both parties. It will help Python developers reduce stress and do their best and hiring managers will know what Python advanced interview questions to ask to get the most accurate picture of the candidate.
Python most often used a scripting language” for web applications as it does a great job automation specific services of tasks making it more efficient. This being said, Python is most often used for building software applications, shells of operating systems, pages within a web browser, and for some types of games.
Yes, Python is a case-sensitive programming language meaning that Variable and variable have different values.
Yes, since it does not have machine-level code before runtime. Code uses an interpreter to be executed by the machine.
Slicing is taking parts of strings, arrays, tuples, and lists. Its syntax is [start : stop : step].
Import OR module and use os.remove().
Unlike lists, tuples are not editable and faster. They also have different syntax:
for tuples: tup_1 = (10, ‘Chelsea’ , 20)
for lists: Syntax: list_1 = [10, ‘Chelsea’, 20]
Pass by value is the passing of the copy. If the copy is edited, the original object will remain the same.
Pass by reference is passing of the reference to the original. Edits in the reference will result in changes in the original object.
Pickling is the process of converting any Python object into a string representation. Unpickling is picking the object out of the string representation.
['!!Python!! ', '!!Python!!']
It is a Python Enhancement Proposal, guidelines that determine Python code formats for better readability.
Arrays can store only one data type while lists store any data type.
In order to comment in Python, you need to put this character # in front of the comment. In order to comment on more than one line, you should press Ctrl and left-click all the lines that this comment is about.
Help() function displays all the documentation and information about modules, attributes, and so on. Dir() function displays defined symbols.
A namespace is used for creating unique object names that will not cause a conflict later. Some namespaces are:
Decorators add functionality to the current function without changing its structure. It can also accept arguments and modify these arguments.
The keyword self defines an instance or object of a class and helps to differentiate between methods and attributes of a class.
.py file includes the source code while .pyc includes the bytecode (intermediate between source code and machine-level code).
With statement makes exception handling easier: encapsulates cleanup and preparation, assists in file stream management, and makes code more readable.
Python developers are able to make dynamic edits, edits of the module during the runtime. Monkey-patching helps them do so.
It is used for converting one data type into the other, for example, characters into an integer - ord(0), any data type to list type - list(), integer into a string - str(), etc.
NumPy uses less storage, is faster, and has many vector and matrix operations that eliminate the need for oftentimes unnecessary work. Its slicing and broadcasting functionality are more powerful than those of regular Python lists.
Python offers a multi-threading package but it is not really good for speeding up the code. The GIL is a great way though it is not really multithreading. It executes one at a time but takes turns for different threads really fast which makes it seem like processes are running simultaneously.
Python offers a strip function that is already built-in. It clears all the whitespace or trailing spaces automatically.
-1 is the last negative index, while -2 is the second last and so on. It is mainly used to traverse the element backward.
Those are Django, Flask, and Pyramid. Flask aims at small applications while Django and Pyramid were created for larger projects. Pyramid is very flexible, developers can choose all the tools they want from database to templating style. Django has ORM and many other tools out of the box.
Python works great for data analysis especially for data mining, data processing and data visualization. Senior software developers should be able to answer all the Python data science interview questions in detail.
The slow overall performance of Python, its limited multiprocessing and threading capabilities are considered to be the major pitfalls of this programming language.
There are only a few modern programming languages supporting multiple inheritance and Python is one of them. So yes, it has the ability to derive a class from multiple base classes at the same time.
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