Python Tutorial | Learn Python Programming

Python is a versatile and beginner-friendly programming language that has gained immense popularity for its simplicity, readability, and wide range of applications. Whether you’re new to programming or looking to expand your skills, learning Python is an excellent choice. In this comprehensive guide, i’ll provide you with a curated list of resources and tutorials from my website to help you master Python programming from scratch.

Python | *args and **kwargs

In Python, *args and **kwargs are special syntax used in function definitions to accept an arbitrary number of positional arguments and keyword arguments, respectively. They provide flexibility and convenience in function design, allowing developers to create functions that can handle a variable number of inputs. In this article, we’ll explore the concept of *args and **kwargs in Python functions, explore their syntax, features, and demonstrate their usage through practical examples.

Python | Dictionary Comprehension

Python’s dictionary comprehension is an elegant way to create dictionaries from iterable objects such as lists, tuples, or even other dictionaries. It offers a simple syntax for generating dictionaries with ease and flexibility. In this article, we’ll explore the concept of dictionary comprehension in Python, explore its syntax, features, and demonstrate its usage through practical examples.

Python | List Comprehension

Introduction: List comprehension is a powerful and simple technique in Python for creating lists in a more readable way. It provides a short syntax to generate lists by applying an expression to each item in an iterable. In this article, we’ll explore the concept of list comprehension in Python, explore its syntax, features, and demonstrate its usage through practical examples.

Python | f-strings

Introduction: In the world of Python programming, string manipulation plays a crucial role in crafting readable and efficient code. Python offers various methods for string formatting, and one of the most powerful and simple approaches is using f-strings. In this article, we’ll explore the concept of f-strings in Python, explore their syntax, features, and demonstrate their usage through practical examples.

Python | How to Setup Snowpark Environment in Local Machine

Setting up a Snowpark environment on your local machine allows you to leverage the power of Snowflake for data processing and analytics. Whether you’re a data engineer, data scientist, or data analyst, having a local Snowpark environment can significantly enhance your productivity and facilitate experimentation. In this post, we’ll walk you through the steps to set up a Snowpark environment on your local machine.

Deloitte | Big Data Engineer Interview Experience

In this article, we will see the list of questions asked in Deloitte Company Interview for 3+ year of experience candidate in big data field.

Let’s see the Questions:
1) Briefly Introduce YourSelf?
2) Difference between head() and take() in spark dataframe API?

Python | raise keyword

In Python, the raise keyword plays a crucial role in exception handling. It empowers developers to explicitly raise exceptions, providing a way to indicate that an error or exceptional situation has occurred during the execution of a program. This article go into the complexity of the raise keyword, exploring its syntax, use cases, and providing examples to illustrate its importance in Python programming.

Python | Match – Case Statement

Python 3.10 introduces the match-case statement, a powerful feature inspired by pattern matching in functional programming languages. This addition enhances the readability and expressiveness of Python code, providing a concise and effective way to handle complex conditional logic. In this article, we’ll explore the match case statement in Python 3.10, explain its syntax and functionality through examples.

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