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- Functions in Python- Syntax, execution, examples
- Functional Programming concepts in Python — Lambda functions and Decorators — with examples, data engineering use cases
- Recursion in Python – Deep Dive into Recursive Functions
- Python ALL Eyes on Strings- String Data Type & For Loop Combined
- Date and Time Functions- Pyspark Dataframes & Pyspark Sql Queries
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Category: Tutorials
Where to Use Python Traditional Coding in PySpark Scripts Using traditional Python coding in a PySpark script is common and beneficial for handling tasks that are not inherently distributed or do not involve large-scale data processing. Integrating Python with a PySpark script in a modular way ensures that different responsibilities are clearly separated and the…
Here’s a complete Azure Databricks tutorial roadmap (Beginner → Advanced), tailored for Data Engineering interviews in India, including key concepts, technical terms, use cases, and interview Q&A: ✅ What is Azure Databricks? Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for the Microsoft Azure cloud. 🔗 How Azure Databricks integrates…
Spark SQL supports several types of joins, each suited to different use cases. Below is a detailed explanation of each join type, including syntax examples and comparisons. Types of Joins in Spark SQL 1. Inner Join An inner join returns only the rows that have matching values in both tables. Syntax: Example: 2. Left (Outer)…
Table of Contents Introduction to RDDs Resilient Distributed Datasets (RDDs) are the fundamental data structure of Spark. They are: Key Characteristics: RDD Lineage RDD lineage is a graph of all the parent RDDs of an RDD. It’s built as a result of applying transformations to the RDD. Output would show the transformation steps: Creating RDDs…
Absolutely! Let’s break down Data Lake, Data Warehouse, and then show how they combine into a Data Lakehouse Architecture—with key differences and when to use what. 🧊 1. Data Lake vs Data Warehouse Feature 🪣 Data Lake 🏛️ Data Warehouse Type of Data Raw, unstructured, semi-structured, structured (e.g., logs, images, JSON, CSV, Parquet) Structured data…
In Python, a list is a mutable, ordered collection of items. Let’s break down how it is created, stored in memory, and how inbuilt methods work — including internal implementation details. 🔹 1. Creating a List 🔹 2. How Python List is Stored in Memory Python lists are implemented as dynamic arrays (not linked lists…
I believe you read our Post https://www.hintstoday.com/i-did-python-coding-or-i-wrote-a-python-script-and-got-it-exected-so-what-it-means/. Before starting here kindly go through the Link. How the Python interpreter reads and processes a Python script The Python interpreter processes a script through several stages, each of which involves different components of the interpreter working together to execute the code. Here’s a detailed look at how…
Python Lists: A Comprehensive Guide What is a List? Lists are a fundamental data structure in Python used to store collections of items. They are: Example: Accessing Elements in a List Positive Indexing Negative Indexing (Access elements from the end) Slicing List Operations Modifying Elements Adding Elements Removing Elements Sorting and Reversing List Comprehensions Basic…