How to Crack Python Coding Interviews?

 

Python developers are in high demand, and you must ace Python coding interview questions to land interviews at top tech firms. Python developer jobs have scaled over the last few years as the language is used in various coding scenarios, from games to web applications, by some of the world's largest companies, including Netflix, PayPal, and Dropbox. 

They hire Python developers to push the boundaries of emerging technologies such as data analytics, data science, AI, natural language processing, and AI/machine learning. If you're preparing for a technical interview and use Python as your programming language, the Python coding interview questions below will help you understand what to expect. Learn what recruiters look for in Python developers, as well as the best tips for outperforming the competition.

Top Python Developer Skills to Crack Coding Challenges

Python is a popular OOPs language among coders and developers, and technical firms prefer using Python due to its simplicity and general-purpose programming ability across most OS platforms. 

You should have an in-depth knowledge of Python web frameworks, event-driven programming in Python, a basic understanding of front-end technologies, excellent communication and problem-solving skills, great attention to detail, and proficiency in understanding code versioning tools. 

You should be familiar with the following skills usually covered in interview questions for python developer.

• Object-Oriented Programming
• Data Structures and Algorithms
• Variables & Data Types
• Data Analysis with Python
• Exception Handling
• File Handling
• Python Frameworks like Django, Web2Py, Flask, Bottle, CherryPy, etc.
• Python libraries like NumPy, Pandas, etc.
• Machine Learning and AI
• PyTorch
• CRUD
• OCR
• Dimensional Modeling
• CBV
• ModelForms
• Computer Vision
• Flask
• Data extraction
  

What Do Recruiters Look for in Python Developers?

You should know what recruiters look for in a Python developer to ensure that they hire the right candidate.

Top tech companies expect Python developers to produce reusable quality code. If you get hired, you will have to write server-side web application logic, including the development of back-end components. 

So, as a Python developer, you will also need to know how to design and implement quality applications and connect the applications with other third-party web services. You should be able to support front-end developers by integrating their work with Python. 

To prove yourself as an ideal candidate, you must possess knowledge of the main web frameworks, frameworks, object-relational mappers, multi-process architecture, and RESTful APIs. Your skills in system administration, scripting, implementing data storage solutions, and knowledge of other programming languages like Java can give you an upper hand over other candidates as recruiters find such multi-tasking candidates beneficial to the company.

Tips for Cracking The Coding Interview Python

Here are the best tips that will help you nail the most challenging Python coding interview questions and land your dream job.

• You should have adequate knowledge of Object Relational Mapper (ORM) libraries, Django or Flask, fundamental design principles of a scalable application, unit testing and debugging skills, and Python packages such as NumPy.
• You must practice problem-solving questions on core data structures and algorithms and approach them through patterns. You can classify problems through solution patterns and apply analogous patterns to solve new problems. This way, you will be able to tackle tough problems at the interview.
• You should practice programming theory interview questions and get well-versed in the core OOP features in Python and the use of different functions.
• If you need some professional guidance from industry experts, you can join an online Python Course. Mock interviews are a brilliant way to boost your confidence levels, overcome interview anxiety, and strengthen your weak areas with expert professionals who are hiring managers at top tech companies.
• You should develop the practice of thinking out loud in the interview. This habit gives recruiters a peek into your approach. You can get points and a green signal from the hiring manager if your initial approach is correct and even if you don't arrive at the optimal solution.
• You can showcase your coding abilities by talking about your previous projects in technical rounds
• You must strategically learn Python for a coding interview. You can learn about Python interview questions and answers for freshers.

Take a look at some of the Python Coding Interview Questions :

Q1. What is Python?

Python is a high-level and object-oriented programming language with unified semantics designed primarily for developing apps and the web. It is the core language in the field of Rapid Application Development (RAD) as it offers options such as dynamic binding and dynamic typing.

Q2. What are the key features of Python?

• Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby.
• Python is dynamically typed, this means that you don’t need to state the types of variables when you declare them or anything like that. You can do things like x=111 and then x="I'm a string" without error
• Python is well suited to object-orientated programming in that it allows the definition of classes along with composition and inheritance. Python does not have access specifiers (like C++’s public, private).
• In Python, functions are first-class objects. This means that they can be assigned to variables, returned from other functions and passed into functions. Classes are also first class objects
• Writing Python code is quick but running it is often slower than compiled languages. Fortunately， Python allows the inclusion of C-based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it’s really quite quick because a lot of the number-crunching it does isn’t actually done by Python
• Python finds use in many spheres – web applications, automation, scientific modeling, big data applications and many more. It’s also often used as “glue” code to get other languages and components to play nice.

Q3. What type of language is python? Programming or scripting?

Ans: Python is capable of scripting, but in general sense, it is considered as a general-purpose programming language.

Q4. Python an interpreted language. Explain.

Ans: An interpreted language is any programming language which is not in machine-level code before runtime. Therefore, Python is an interpreted language.

Q5. What is pep 8?

Ans: PEP stands for Python Enhancement Proposal. It is a set of rules that specify how to format Python code for maximum readability.

Q6. What are the benefits of using Python?

Ans: The benefits of using python are-

1. Easy to use– Python is a high-level programming language that is easy to use, read, write and learn.
2. Interpreted language– Since python is interpreted language, it executes the code line by line and stops if an error occurs in any line.
3. Dynamically typed– the developer does not assign data types to variables at the time of coding. It automatically gets assigned during execution.
4. Free and open-source– Python is free to use and distribute. It is open source.
5. Extensive support for libraries– Python has vast libraries that contain almost any function needed. It also further provides the facility to import other packages using Python Package Manager(pip).
6. Portable– Python programs can run on any platform without requiring any change.

Q7. What are Python namespaces?

Ans: A namespace in python refers to the name which is assigned to each object in python. The objects are variables and functions. As each object is created, its name along with space(the address of the outer function in which the object is), gets created. The namespaces are maintained in python like a dictionary where the key is the namespace and value is the address of the object. There 4 types of namespace in python-

1. Built-in namespace– These namespaces contain all the built-in objects in python and are available whenever python is running.
2. Global namespace– These are namespaces for all the objects created at the level of the main program.
3. Enclosing namespaces– These namespaces are at the higher level or outer function.
4. Local namespaces– These namespaces are at the local or inner function.

Q8. What are decorators in Python?

Ans: Decorators are used to add some design patterns to a function without changing its structure. Decorators generally are defined before the function they are enhancing. To apply a decorator we first define the decorator function. Then we write the function it is applied to and simply add the decorator function above the function it has to be applied to. For this, we use the @ symbol before the decorator.