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    3. Python For Data Engineers - Gcp, Azure, And Aws

    Python For Data Engineers - Gcp, Azure, And Aws

    Posted By: ELK1nG
    Date: 25 Jun 2025 22:57:46
    Python For Data Engineers - Gcp, Azure, And Aws

    Python For Data Engineers - Gcp, Azure, And Aws
    Published 6/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.36 GB | Duration: 4h 54m

    From Basics to Cloud: Python Essentials for Modern Data Engineers

    What you'll learn

    Master Python fundamentals including data types, structures, control flow, functions, and object-oriented programming tailored for data engineering use cases.

    Work with files and data sources commonly used in data engineering

    Write efficient, modular, and scalable code that aligns with real-world data engineering standards and practices.

    Learning by doing

    Requirements

    No prior coding experience is required – this course is beginner-friendly.

    Description

    Are you aspiring to become a Data Engineer or looking to sharpen your Python skills ? This course is designed to teach you Python programming from the ground up, with a specific focus on real-world data engineering use casesChapter 1: Core Python Data TypesWorking with StringsPython Operators (Arithmetic, Comparison, Logical, etc.)Numbers: Integers and FloatsBoolean Logic in PythonUnderstanding None TypeChapter 2: Built-in Data StructuresLists: Creation, Indexing, and OperationsTuples: Immutable SequencesDictionaries: Key-Value MappingsSets: Unique Collections and OperationsChapter 3: Programming Constructs in PythonConditional Statements: if, elif, elseLooping: for and while LoopsException Handling: try, except, finallyFile Handling: Reading and Writing FilesChapter 4: Modular and OOP in PythonCreating and Using FunctionsWriting Reusable Code with FunctionsIntroduction to Object-Oriented ProgrammingCreating Classes and ObjectsWhat Makes This Course Unique?Tailored specifically for Data Engineers working in cloud platforms.Hands-on examples with real data formats like CSV, JSON, and log files.Practical coding exercises aligned with cloud data services like BigQuery, S3, Azure Blob Storage, and more.Builds a strong foundation for future work in ETL, Data Lakes, Data Warehouses, and workflow orchestration.covering from basics to advanced for ease

    Overview

    Section 1: Introduction

    Lecture 1 Class Notebook

    Lecture 2 Python Introduction - what ? why ?

    Lecture 3 Python Datatypes : String, Int, Float, Bool, None

    Lecture 4 Python Data Structures : List, Tuple, Dict and Set

    Lecture 5 Python Loops : For and While Loop - Exception Handling

    Lecture 6 Python Functions and Classes

    Anyone who want to learn and master Python fundamentals
    UPWARDS