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.
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
Adaptive Query Execution (AQE) in Apache Spark- Explain with example Adaptive Query Execution (AQE) in Apache Spark 3.0 is a powerful feature that brings more intelligent and dynamic optimizations to Spark SQL on runtime statistics. By adapting the execution plan at runtime based on actual data statistics, AQE can provide significant performance improvements and more…
Error and Exception Handling in Python and to maintain a log table
Debugging and handling errors effectively is a must-have skill in Python. Here’s a complete, practical guide for: 🛠️ 1. Basic Python Error Handling Syntax 🔁 2. Common Python Errors and Fixes Error Cause Fix Example ZeroDivisionError Division by zero Check denominator before division TypeError Wrong data type Use type() checks or cast explicitly NameError Variable…
Hadoop Tutorial: Components, Architecture, Data Processing, Interview Questions
Here’s a detailed expansion of your Hadoop Core Concepts – Interview Q&A, now with conceptual answers, examples, commands, and added advanced questions covering HDFS CLI, Python-Hadoop integration, and Hive interaction. ✅ Hadoop Core Interview Questions with Answers & Examples 1. What is Hadoop? Answer: Hadoop is an open-source framework that allows for distributed storage and…
How to train for Generative AI considering you have basic knowledge in Python. What should be the Learning path?
Data Structures in Python: Linked Lists
Python Regex complete tutorial with usecases of email search inside whole dbms or code search inside a code repository
PySpark Projects:- Scenario Based Complex ETL projects Part1
String Manipulation on PySpark DataFrames
In PySpark, regex functions let you extract, match, or replace parts of strings using powerful regular expression patterns. These are essential for parsing messy data, extracting tokens, or cleaning text. 🔧 Common PySpark Regex Functions (from pyspark.sql.functions) Function Description regexp_extract() Extracts first matching group using a regex regexp_replace() Replaces all substrings matching regex rlike() Returns…
Pyspark Dataframe programming – operations, functions, all statements, syntax with Examples
Creating DataFrames in PySpark Creating DataFrames in PySpark is essential for processing large-scale data efficiently. PySpark allows DataFrames to be created from various sources, ranging from manual data entry to structured storage systems. Below are different ways to create PySpark DataFrames, along with interesting examples. 1. Creating DataFrames from List of Tuples (Manual Entry) This…
Python Project Alert:- Dynamic list of variables Creation
Temporary Functions in PL/Sql Vs Spark Sql
How PySpark automatically optimizes the job execution by breaking it down into stages and tasks based on data dependencies. can explain with an example