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.
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:…
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…
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
String manipulation is a common task in data processing. PySpark provides a variety of built-in functions for manipulating string columns in DataFrames. Below, we explore some of the most useful string manipulation functions and demonstrate how to use them with examples. Common String Manipulation Functions Example Usage 1. Concatenation Syntax: 2. Substring Extraction Syntax: 3.…
Pyspark Dataframe programming – operations, functions, all statements, syntax with Examples
✅ What is a DataFrame in PySpark? A DataFrame in PySpark is a distributed collection of data organized into named columns, similar to a table in a relational database or a Pandas DataFrame. It is built on top of RDDs and provides: 📊 DataFrame = RDD + Schema Under the hood: So while RDD is…
Python Project Alert:- Dynamic list of variables Creation