HintsToday

Category: Tutorials

  • Deploying a PySpark job- Explain Various Methods and Processes Involved

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    Deploying a PySpark job can be done in various ways depending on your infrastructure, use case, and scheduling needs. Below are the different deployment methods available, including details on how to use them: 1. Running PySpark Jobs via PySpark Shell How it Works: Steps to Deploy: Use Cases: 2. Submitting Jobs via spark-submit How it…

  • What is Hive?

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    Hive a Data warehouse infra Hive is an open-source data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. It allows users to query and manage large datasets residing in distributed storage using a SQL-like language called HiveQL. Here’s an overview of Hive: Features of Hive: Components of Hive: Use…

  • Pyspark- DAG Schedular, Jobs , Stages and Tasks explained

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    In PySpark, jobs, stages, and tasks are fundamental concepts that define how Spark executes distributed data processing tasks across a cluster. Understanding these concepts will help you optimize your Spark jobs and debug issues more effectively. At First Let us go through DAG Scheduler in Spark, we might be repetiting things but it is very…

  • Apache Spark- Partitioning and Shuffling, Parallelism Level, How to optimize these

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    Apache Spark is a powerful distributed computing system that handles large-scale data processing through a framework based on Resilient Distributed Datasets (RDDs). Understanding how Spark partitions data and distributes it via shuffling or other operations is crucial for optimizing performance. Here’s a detailed explanation: Partitions in Spark Partitioning is the process of dividing data into…

  • Discuss Spark Data Types, Spark Schemas- How Sparks infers Schema?

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    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

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    Merge sort is a classic divide-and-conquer algorithm that efficiently sorts a list or array by dividing it into smaller sublists, sorting those sublists, and then merging them back together. Here’s a step-by-step explanation of how merge sort works, along with an example: How Merge Sort Works Detailed Steps Example Let’s sort the list [38, 27,…

  • Mysql or Pyspark SQL query- The placement of subqueries

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    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. 2. In the FROM Clause Subqueries can be used as derived tables. 3. In the WHERE Clause Subqueries can filter rows based on…

  • Lesson 3: Data Preprocessing

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    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 Handling missing values and removing duplicates. Example:Correcting formatting: date fields in inconsistent formats (e.g., “2022-01-01” and…

  • Lesson 2: Python for Machine Learning

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    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. Installation: Basic Operations: Pandas Pandas is a powerful library for data manipulation and analysis. Installation: pip install pandas Basic…

  • Lesson 1: Introduction to AI and ML

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    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 is Machine Learning? Machine Learning (ML) is a subset of AI that focuses on building systems…

  • I am Learning AI & ML

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    My Posts in this series will follow below said topics.

  • What is Generative AI? What is AI ? What is ML? How all relates to each other?

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    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, decision-making, and language translation. AI can be broadly categorized into two types: Artificial Intelligence refers to the…

  • Python libraries and functions to manipulate dates and times

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    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. Visual Representation Date and Time Operations Here are some common date and time operations: Returns the current date and time. Creates a date…

  • Optimizations in Pyspark:- Explain with Examples, Adaptive Query Execution (AQE) in Detail

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    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

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    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:…

  • How the Python interpreter reads and processes a Python script and Memory Management in Python

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    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…

  • How to train for Generative AI considering you have basic knowledge in Python. What should be the Learning path?

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    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. Strengthen Your Python Skills Before diving into Generative AI, ensure your Python…

  • Data Structures in Python: Linked Lists

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    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 over arrays (fixed size) when frequent insertions or deletions are necessary. Singly Linked List:…

  • Classes and Objects in Python- Object Oriented Programming & A Project

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    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 of classes and objects in Python. You Know what all data types in Python are implemented…

  • Python ALL Eyes on Strings- String Data Type & For Loop Combined

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    Here’s a comprehensive Python string function cheat sheet in tabular format: Function Syntax Description Example Return Type capitalize str.capitalize() Capitalizes the first character of the string. “hello”.capitalize() → “Hello” str casefold str.casefold() Converts to lowercase, more aggressive than lower(). “HELLO”.casefold() → “hello” str center str.center(width, fillchar=’ ‘) Centers the string, padded with fillchar. “hello”.center(10, ‘-‘)…