Welcome to the Future – AI Hints Today
Keyword is AI– This is your go-to space to ask questions, share programming tips, and engage with fellow coding enthusiasts. Whether you’re a beginner or an expert, our community is here to support your journey in coding. Dive into discussions on various programming languages, solve challenges, and exchange knowledge to enhance your skills.
DataBricks Tutorial for Beginner to Advanced
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 WarehouseType of DataRaw, unstructured, semi-structured, structured (e.g., logs, images, JSON, CSV, Parquet)Structured data (e.g., SQL tables, reports)SchemaSchema-on-read (define…
Complete crisp PySpark Interview Q&A Cheat Sheet
Certainly! Here’s the complete crisp PySpark Interview Q&A Cheat Sheet with all your questions so far, formatted consistently for flashcards, Excel, or cheat sheet use: Question Answer How do you handle schema mismatch when reading multiple JSON/Parquet files with different structures? Use .option(“mergeSchema”, “true”) when reading Parquet files; for JSON, unify schemas by selecting common…
Python Lists- how it is created, stored in memory, and how inbuilt methods work — including internal implementation details
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…
Data Engineer Interview Questions Set1
Explain a scenario on schema evolution in data pipelines Here’s an automated Python script using PySpark that performs schema evolution between two datasets (e.g., two Parquet files or DataFrames): ✅ Features: 🔧 Prerequisites: 🧠 Script: Schema Evolution Handler 🔍 Output: 💡 Notes: Automated script for schema evolution. first to check what fields are missing or…
PySpark SQL API Programming- How To, Approaches, Optimization
How the Python interpreter reads and processes a Python script and Memory Management in Python
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…
Lists and Tuples in Python – List and Tuple Comprehension, Usecases
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…
How to Solve a Coding Problem in Python? Step to Step Guide?
Python Built-in Iterables: Complete Guide with Use Cases & Challenges
Python Dictionary in detail- Wholesome Tutorial on Dictionaries
Python Programming Language Specials
Useful Code Snippets in Python and Pyspark
#1. create a sample dataframe other ways to create dataframe here? In PySpark, there are multiple ways to create a DataFrame besides using spark.createDataFrame() with a list of tuples. Below are some alternative methods to create the same DataFrame: 1. Using a List of Dictionaries You can create a DataFrame from a list of dictionaries, where each…
What is indexing in SQL- Syntax, Types, Use Cases, Advantages, Disadv, and Scenarios
Here’s a comprehensive, logically structured, and interactive guide to SQL Indexing, consolidating and enhancing all the content you’ve shared, complete with real examples, platform-specific insights, and advanced use cases: 🧠 Mastering Indexing in SQL: A Complete Guide 🔍 What is Indexing in SQL? Indexing is a performance optimization technique that allows fast retrieval of rows…
Spark SQL- operators Cheatsheet- Explanation with Usecases
How to Write Perfect Pseudocode- Syntax , Standards, Terms