Tiger Analytics Interview Questions and Answers for Technical Profiles

You can reverse a linked list in Python using an iterative or recursive approach. When we create an object, __new__ checks if an instance exists. In the second example, “all(values)” is True since all elements are True. Python provides the any() and all() functions to check conditions in an iterable like a list or tuple. The reduce() processes all elements to compute a single result. Python provides map(), filter(), and reduce() to process data efficiently.
A common pattern involves creating a function that yields a session, then closes it after request handling. FastAPI uses these models in route functions to interact with the database. FastAPI integrates with SQLAlchemy through the use of Pydantic models and dependency injection. This class accepts status_code and detail parameters to define HTTP status code and error message respectively. To handle exceptions, use the HTTPException class from fastapi.exceptions module. It offers several advantages such as high performance comparable to NodeJS and Go thanks to Starlette for the web parts and Pydantic for the data parts.
This team advises on infrastructure financing, PPP projects, project feasibility, and risk assessment across power, roads, ports, and urban infrastructure. Then, we create an instance of the DecisionTreeClassifier (for classification) or DecisionTreeRegressor (for regression), and fit the model to the training data using the fit() method. To train a decision tree model using Scikit-learn, we first import the necessary library, we load the data and split it into features (X) and target (y). To train a linear regression model in Python, we can use the LinearRegression class from the sklearn.linear_model module.

What are some of the most common Python libraries that are used in data science?

In technical terms, abstraction can be defined as hiding internal processes and showing only the functionality. Binding or wrapping of code and data together into a single cell is called encapsulation. If you want to access an instance (or class) variable from outside the instance or class, you are always allowed to do so. Polymorphism is based on the greek words Poly (many) and morphism (forms).
Pivot tables are one of the most useful features in Excel. An SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. Inheritance is one of the most important features of Object-Oriented Programming. The capability of a class to derive properties and characteristics from another class is called Inheritance. A simple method for this problem is to first reverse digits of num, then compare the reverse of num with num.

• I also skipped system-design prep, because the SWE screen is bug-fix plus DSA, not design.
• CSS 3D transformations allow elements to be transformed in three-dimensional space by rotating them along the X-axis, Y-axis, and Z-axis.
• State stores are also backed by a changelog topic in Kafka, so state can be restored automatically if an application instance fails and is restarted elsewhere.
• In the second example, “all(values)” is True since all elements are True.
• Interviewers expect you to explain how systems behave under load, how to optimize code, and how to design features that work at scale.
• Additionally, Git provides tools like diff to compare versions and resolve conflicts during merges.

Django versus Flask: Which should you use?

Python 3.13+ introduced an experimental GIL-free build. For Parquet, pyarrow or polars can scan files in batches. This allows for «predicate pushdown» (reading only the columns you need) and high compression ratios, making it much faster and cheaper for big data analytics. Unlike CSV (which is row-based), Parquet stores all values for a single column together.
LTIMindtree offers data and analytics services combining Larsen & Toubro Infotech and Mindtree expertise in cloud data platforms. Absolutely, communication skills and cultural fit with HCL’s ideapreneurship philosophy are crucial. Furthermore, I am genuinely inspired by the company’s belief in “Ideapreneurship.” It excites me to have the chance to propose ideas for achieving the objectives of the organisation. In addition to helping the company grow, as an individual I would like to broaden my horizons.
Each question includes what interviewers look for, how to answer effectively, and example responses you can adapt for your next interview. This blog explores 10 essential Python interview questions that assess your technical strength, system-thinking, and real-world readiness. Mid-level positions may https://uvik.io/ require a deeper understanding of algorithms, data structures, and system design.
Comprehensions provide a concise syntax for creating new lists or dictionaries based on existing iterables. This ensures that the copy is entirely independent, which is vital when duplicating complex configuration objects or nested data structures in a pipeline. In conclusion, mastering the essential and advanced concepts in Python is crucial for excelling as a senior developer.