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.
Complete crisp PySpark Interview Q&A Cheat Sheet
Q1.Default Sizes for Broadcast in PySpark In PySpark, broadcasting is used to efficiently share a small DataFrame or variable with all worker nodes to avoid shuffling during joins. 🔹 Default Sizes for Broadcast in PySpark The default maximum size for broadcasting is: This means: 🔧 Configurable Setting You can change this threshold via Spark config:…
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
1.Tell us about Hadoop Components, Architecture, Data Processing 2.Tell us about Apache Hive Components, Architecture, Step by Step Execution 3.In How many ways pyspark script can be executed? Detailed explanation 4.Adaptive Query Execution (AQE) in Apache Spark- Explain with example 5.DAG Scheduler in Spark: Detailed Explanation, How it is involved at architecture Level 6.Differences between…
PySpark SQL API Programming- How To, Approaches, Optimization
📌 How to Decide Which Table to Broadcast in PySpark? Broadcasting a table eliminates shuffle operations, making joins faster by distributing a small table to all worker nodes. 💡 General Rule:📌 Broadcast the smaller table if:✔ Size < 10GB (safe limit)✔ Used in a JOIN operation✔ Frequently accessed in multiple queries 🔍 1️⃣ Automatically Decide…
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?
🔹 Pattern Matching Techniques in Problem-Solving (Python & Algorithms) 📌 What is Pattern Matching in Coding? Pattern Matching in problem-solving refers to recognizing similarities between a given problem and previously solved problems, allowing you to reuse known solutions with slight modifications. Instead of solving every problem from scratch, identify its “type” and apply an optimized…
Python Built-in Iterables: Complete Guide with Use Cases & Challenges
Python Dictionary in detail- Wholesome Tutorial on Dictionaries
Differences between String and Dictionary list = [1,’A’,2,3,2,8.7] dict = {0:1,1:’A’,2:2,3:3,4:2,5:8.7} List has numeric index only in sequential order starting from zero. Dictionary is has keys instead of index which can be numeric, string or tuple. They are unordered but they are always unique. 0 1 2 3 4 # indexes are not there{‘A’:’A’,’Apple’:253,12:3,13:435,445:34} In…
Python Programming Language Specials
Useful Code Snippets in Python and Pyspark
More widely used Python string use cases in PySpark ETL automation, DataFrame column handling, and query generation. 1. Convert All Column Names to Lowercase When working with PySpark DataFrames, column names may be in mixed case, which can cause issues in queries. We can normalize them using Python string methods. 2. Remove _new from Column…
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
Window functions in PySpark on Dataframe programming
Window functions in PySpark allow you to perform operations on a subset of your data using a “window” that defines a range of rows. These functions are similar to SQL window functions and are useful for tasks like ranking, cumulative sums, and moving averages. Let’s go through various PySpark DataFrame window functions, compare them with…