Python Developer Interview : A Python developer is a software developer with expertise in creating, testing, and maintaining software applications using the Python programming language. High-level and versatile, Python is renowned for its readability and simplicity of use. Web development, data science, AI, machine learning, scientific computing, automation, and other fields all make extensive use of Python.
Python is used in scientific computing, AI, machine learning, web development, and university research. The rising acceptance of AI and ML in the data science community is largely responsible for its popularity. Machine-learning applications are being used by sectors such as finance, healthcare, and education to innovate their organizations.
Businesses like Netflix, Google, Facebook, Reddit, YouTube, Instagram, and others also use Python extensively. To be more precise, Spotify uses Python in its back-end services to collect user data and generate playlists and recommendations that are accurate. On the other hand, Dropbox develops its native apps for every platform—Windows, macOS, Linux, iOS, Android, etc.—using Python scripts.
Here are some basic interview questions that are commonly asked for Python developers:
1.what is Python? What advantages does Python offer?
Python is an interpretable, general-purpose, high-level programming language. With the appropriate tools and libraries, this general-purpose language can be used to create nearly any kind of application. Python also has support for objects, modules, threads, exception handling, and automatic memory management, all of which are useful for modeling real-world issues and developing apps to address them.
advantages Of Python
Python is a general-purpose programming language with an emphasis on readability and an easy-to-learn syntax that lowers program maintenance costs. In addition, the language supports third-party packages that promote modularity and code reuse, is fully open-source, and has scripting capabilities.
Its dynamic typing and dynamic binding, along with its high-level data structures, draw a large developer community for rapid application development and deployment.
2.What is interpreted language?
Programming languages that are interpreted execute their source code line by line by an interpreter during runtime as opposed to compiling it into machine code beforehand. Python is an interpreted language, meaning that code is read and run straight from the source files by the Python interpreter.
Because Python is interpreted, it is more versatile and supports dynamic features like introspection, dynamic typing, and dynamic binding. It also streamlines the development process because it eliminates the need for a separate compilation step, allowing you to quickly run and test your code. However, compared to languages that are compiled to machine code before execution, interpreted languages may typically execute a little more slowly.
3.What does Python’s self keyword mean?
The standard name for the first parameter of a method in a class in Python is self. It serves as a means for a method to refer to the instance variables of the object it is called on and represents the instance of the class. Although naming it anything you like is not required, it is a commonly accepted practice to use self as the first parameter in instance methods.
Self aids in distinguishing between local variables, which are transient variables used within a method, and instance variables, which belong to the object. It allows an object to make references to its own information and actions.
4.What is a Python docstring?
A string literal that appears as the first sentence in the definition of a module, function, class, or method in Python is known as a docstring. It is employed to record the function, application, and conduct of the code. Docstrings are more than just comments; they have a specific function in offering programmatic access to documentation.
It’s best practice to use docstrings when writing Python code because they make the code easier to read and give helpful information to anyone who might use or maintain the code in the future, including you. In order to generate documentation for your code, tools such as automated documentation generators can also take information out of docstrings.
5.What is A dynamically typed language ?
Programming languages that determine a variable’s data type at runtime rather than explicitly declaring it in the source code are known as dynamically typed languages. The type and value of a variable are linked in dynamically typed languages, but this relationship is subject to change while the program is running.
Dynamic typing has potential disadvantages even though it can result in code that is more flexible and concise. Type errors might not be detected until runtime, which could make it more difficult to find and address problems early in the development process. On the other hand, static typing necessitates explicit type declarations but offers an earlier feedback loop by detecting type-related errors at compile time.
6.What is PEP 8 and why is it important
The style guide for Python code is called PEP 8, or Python Enhancement Proposal 8. It offers guidelines for writing Python code that is comprehensible, readable, and consistent. The creator of Python, Guido van Rossum, wrote PEP 8, which is regarded as the de facto standard for Python code style.
Following PEP 8 helps Python developers create a more cohesive and manageable codebase, which is essential for a project’s long-term viability and scalability.
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PEP 8’s Importance
- Readability: Code readability is improved when a consistent coding style is used. Following a standard style guide improves the accessibility and comprehensibility of the codebase when multiple developers collaborate on a project.
- Maintainability:Maintaining consistency in code style makes it easier. Following the same conventions makes it easier to find and fix bugs, add new features, and refactor code.
- Collaboration:PEP 8 encourages cooperation by offering developers a set of standards to adhere to. It assists teams in avoiding pointless arguments about coding style selections.
- Tool Support: To make it simpler for developers to follow the rules, a lot of code editors and integrated development environments (IDEs) come with tools and plugins that can automatically verify and enforce PEP 8 compliance.
7.Describe is pass in Python?
A pass statement in Python functions as a no-op or null operation. It is a placeholder where some syntactic code is needed but no further action is needed or desired. The program proceeds to the next statement after the pass statement, which essentially does nothing.When working on a code skeleton or needing a temporary placeholder for a block of code that will be implemented later, pass can be useful. It does nothing at runtime, allowing the code to be syntactically correct.
8.What are Python attributes global, protected, and private?
- global: Public variables defined within the global scope are referred to as global variables. The global keyword is used inside a function to access the variable in the global scope.
- protected:Protected attributes are attributes defined with an underscore prefixed to their identifier eg. _sara. They can still be accessed and modified from outside the class they are defined in but a responsible developer should refrain from doing so.
- Private:
- Private attributes are those that have a double underscore (__ansh) prefixed to their identifier. They cannot be directly accessed or modified from the outside, and any attempt to do so will raise an AttributeError.