by Team AHT | Aug 2, 2024 | SQL
Let’s list all possible places where subqueries in MySQL or Hive QL or Pyspark SQL Query can be used: 1. In the SELECT Clause Subqueries can compute a value for each row. SELECT employee_id, (SELECT COUNT(*) FROM project_assignments pa WHERE pa.employee_id =...
by Team AHT | Jul 29, 2024 | AI & ML
Data preprocessing is a crucial step in machine learning. It involves cleaning and transforming raw data into a format suitable for modeling. Data Cleaning Data cleaning involves identifying and correcting errors, inconsistencies, and inaccuracies in the data such as...
by Team AHT | Jul 29, 2024 | AI & ML
In this lesson, we’ll cover essential Python libraries for machine learning: NumPy, Pandas, Matplotlib, and Scikit-Learn. NumPy NumPy is a library for numerical computations in Python. It provides support for arrays, matrices, and many mathematical functions....
by Team AHT | Jul 29, 2024 | AI & ML
What is AI? Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can perform tasks such as visual perception, speech recognition, decision-making, and language translation. What...
by Team AHT | Jul 29, 2024 | AI & ML
My Posts in this series will follow below said topics. Introduction to AI and ML What is AI? What is Machine Learning? Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Key Terminologies Python for Machine Learning Introduction...
by Team AHT | Jul 29, 2024 | AI & ML
What is AI? Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn. These systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition,...
by Team AHT | Jul 28, 2024 | Python
Python provides various libraries and functions to manipulate dates and times. Here are some common operations: DateTime Library The datetime library is the primary library for date and time manipulation in Python. datetime.date: Represents a date (year, month, day)...
by Team AHT | Jul 26, 2024 | Pyspark
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...
by Team AHT | Jul 23, 2024 | Python
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: The try block contains the code you expect to execute normally. The except block handles...
by Team AHT | Jul 21, 2024 | 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...
by Team AHT | Jul 15, 2024 | AI & ML
Training for Generative AI is an exciting journey that combines knowledge in programming, machine learning, and deep learning. Since you have a basic understanding of Python, you are already on the right track. Here’s a suggested learning path to help you progress: 1....
by Team AHT | Jul 12, 2024 | Python
Linked lists are a fundamental linear data structure where elements (nodes) are not stored contiguously in memory. Each node contains data and a reference (pointer) to the next node in the list, forming a chain-like structure. This dynamic allocation offers advantages...
by Team AHT | Jul 10, 2024 | Python
In Python, classes and objects are the fundamental building blocks of object-oriented programming (OOP). A class defines a blueprint for objects, and objects are instances of a class. Here’s a detailed explanation along with examples to illustrate the concepts...
by Team AHT | Jul 9, 2024 | Python
Here’s a comprehensive Python string function cheat sheet in tabular format: FunctionSyntaxDescriptionExampleReturn Typecapitalizestr.capitalize()Capitalizes the first character of the string.”hello”.capitalize() →...
by Team AHT | Jul 9, 2024 | Tutorials
Regular expressions (regex) are a powerful tool for matching patterns in text. Python’s re module provides functions and tools for working with regular expressions. Here’s a complete tutorial on using regex in Python. 1. Importing the re Module To use...
by Team AHT | Jul 7, 2024 | Pyspark
1.Exploratory Data Analysis (EDA) with Pandas in Banking – Converted in Pyspark While searching for A free Pandas Project on Google Found this link -Exploratory Data Analysis (EDA) with Pandas in Banking . I have tried to convert this Pyscript in Pyspark one....
by Team AHT | Jul 7, 2024 | Pyspark
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...
by Team AHT | Jul 2, 2024 | Pyspark
PySpark provides a powerful API for data manipulation, similar to pandas, but optimized for big data processing. Below is a comprehensive overview of DataFrame operations, functions, and syntax in PySpark with examples. Creating DataFrames Creating DataFrames from...
by Team AHT | Jun 29, 2024 | Python
Let us go through the Project requirement:- 1.Let us create One or Multiple dynamic lists of variables and save it in dictionary or Array or other datastructre for further repeating use in python. Variable names are in form of dynamic names for example Month_202401 to...
by Team AHT | Jun 29, 2024 | Python
I wrote a Python code or I created a Python script, and it executed successfully So what does it Mean? This will be the most basic question a Early Python Learner can ask ! So Consider this scenario- where i executed a script in python which saves a many csv in Local...
by Team AHT | Jun 26, 2024 | SQL
Spark SQL supports several types of joins, each suited to different use cases. Below is a detailed explanation of each join type, including syntax examples and comparisons. Types of Joins in Spark SQL Inner Join Left (Outer) Join Right (Outer) Join Full (Outer) Join...
by Team AHT | Jun 26, 2024 | SQL
Temporary functions allow users to define functions that are session-specific and used to encapsulate reusable logic within a database session. While both PL/SQL and Spark SQL support the concept of user-defined functions, their implementation and usage differ...
by Team AHT | Jun 25, 2024 | Tutorials
Apache Spark, including PySpark, automatically optimizes job execution by breaking it down into stages and tasks based on data dependencies. This process is facilitated by Spark’s Directed Acyclic Graph (DAG) Scheduler, which helps in optimizing the execution...
by Team AHT | Jun 23, 2024 | Pyspark
explain a typical Pyspark execution Logs A typical PySpark execution log provides detailed information about the various stages and tasks of a Spark job. These logs are essential for debugging and optimizing Spark applications. Here’s a step-by-step explanation of...
by Team AHT | Jun 16, 2024 | Pyspark
RDD (Resilient Distributed Dataset) is the fundamental data structure in Apache Spark. It is an immutable, distributed collection of objects that can be processed in parallel across a cluster of machines. Purpose of RDD Distributed Data Handling: RDDs are designed to...
by Team AHT | Jun 16, 2024 | Pyspark
Yes, DataFrames in PySpark are lazily evaluated, similar to RDDs. Lazy evaluation is a key feature of Spark’s processing model, which helps optimize the execution of transformations and actions on large datasets. What is Lazy Evaluation? Lazy evaluation means...
by Team AHT | Jun 15, 2024 | Pyspark
Big Data Lake: Data Storage HDFS is a scalable storage solution designed to handle massive datasets across clusters of machines. Hive tables provide a structured approach for querying and analyzing data stored in HDFS. Understanding how these components work together...
by Team AHT | Jun 15, 2024 | Pyspark
Big data and big data lakes are complementary concepts. Big data refers to the characteristics of the data itself, while a big data lake provides a storage solution for that data. Organizations often leverage big data lakes to store and manage their big data, enabling...
by Team AHT | Jun 6, 2024 | SQL
Window functions, also known as analytic functions, perform calculations across a set of table rows that are somehow related to the current row. This is different from regular aggregate functions, which aggregate results for the entire set of rows. Both Oracle PL/SQL...
by Team AHT | Jun 6, 2024 | SQL
Common Table Expressions (CTEs) are a useful feature in SQL for simplifying complex queries and improving readability. Both Oracle PL/SQL and Apache Hive support CTEs, although there may be slight differences in their syntax and usage. Common Table Expressions in...