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.


Pyspark- DAG Schedular, Jobs , Stages and Tasks explained
Apache Spark- Partitioning and Shuffling, Parallelism Level, How to optimize these
Discuss Spark Data Types, Spark Schemas- How Sparks infers Schema?
In Apache Spark, data types are essential for defining the schema of your data and ensuring that data operations are performed correctly. Spark has its own set of data types that you use to specify the structure of DataFrames and RDDs. Understanding and using Spark’s data types effectively ensures that your data processing tasks are…
Sorting Algorithms implemented in Python- Merge Sort, Bubble Sort, Quick Sort
Mysql or Pyspark SQL query- The placement of subqueries
Lesson 3: Data Preprocessing
Lesson 2: Python for Machine Learning
Lesson 1: Introduction to AI and ML
I am Learning AI & ML
What is Generative AI? What is AI ? What is ML? How all relates to each other?
Python libraries and functions to manipulate dates and times
Optimizations in Pyspark:- Explain with Examples, Adaptive Query Execution (AQE) in Detail
Optimization in PySpark is crucial for improving the performance and efficiency of data processing jobs, especially when dealing with large-scale datasets. Spark provides several techniques and best practices to optimize the execution of PySpark applications. Before going into Optimization stuff why don’t we go through from start-when you starts executing a pyspark script via spark…
Error and Exception Handling in Python and to maintain a log table
Error and Exception Handling: Python uses exceptions to handle errors that occur during program execution. There are two main ways to handle exceptions: 1. try-except Block: 2. Raising Exceptions: Logging Errors to a Table: Here’s how you can integrate exception handling with logging to a database table: 1. Choose a Logging Library: Popular options include:…
Apache Hive- Overview, Components, Architecture, Step by Step Execution Via Apache Tez or Spark
elow is the Hive Deep Dive Series, delivered inline, one module at a time with real-world relevance, use cases, syntax, and interview insights. ✅ Module 1: 📘 Hive Basics & Architecture 🔹 What is Hive? Apache Hive is a data warehouse system built on top of Hadoop for querying and analyzing structured data using a…
Hadoop Tutorial: Components, Architecture, Data Processing, Interview Questions
What is Hadoop? Hadoop is an open-source, distributed computing framework that allows for the processing and storage of large datasets across a cluster of computers. It was created by Doug Cutting and Mike Cafarella and is now maintained by the Apache Software Foundation. History of Hadoop Hadoop was inspired by Google’s MapReduce and Google File…