Python for Data Engineering: A JavaScript Developer's Accelerated Guide
Accelerate your career transition from JavaScript to Python Data Engineering, mastering essential Pythonic idioms, robust data manipulation with Pandas, and practical strategies for data ingestion, transformation, and API integration.
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Python Fundamentals for JavaScript Developers
Unit 1: Python's Core Building Blocks
Unit 2: Controlling the Flow
Unit 3: Functions: Your Code's Building Blocks
Core Python Data Structures & Idioms
Unit 1: Python's Core Collections
Unit 2: Concise Data Manipulation
Unit 3: Pythonic Code & Best Practices
Object-Oriented Programming in Python
Unit 1: OOP Core Concepts
Unit 2: OOP Principles: Inheritance & Polymorphism
Unit 3: Advanced OOP & Pythonic Practices
Setting Up Your Python Data Engineering Environment
Unit 1: Python Environment Essentials
Unit 2: Dependency Management with Pip
Unit 3: Project Structure & Best Practices
Robust Code: Error Handling and Logging
Unit 1: Understanding Errors and Exceptions
Unit 2: Graceful Error Handling with Try-Except
Unit 3: Effective Logging for Data Pipelines
Numerical Computing with NumPy
Unit 1: NumPy Array Fundamentals
Unit 2: Array Manipulation Essentials
Unit 3: Efficient Array Operations
Pandas Fundamentals: DataFrames and Series
Unit 1: Introducing Pandas Data Structures
Unit 2: Loading and Inspecting Data
Unit 3: Basic Data Selection & Filtering
Data Cleaning and Preprocessing with Pandas
Unit 1: Handling Missing Data
Unit 2: Data Type Management
Unit 3: Text Cleaning & Data Consistency
Advanced Data Transformation and Aggregation with Pandas
Unit 1: Advanced Data Transformations
Unit 2: Data Aggregation with Groupby
Unit 3: Combining DataFrames
Data Ingestion and Egress: Files and Databases
Unit 1: File I/O with Pandas
Unit 2: Database Connectivity
Unit 3: SQLAlchemy: ORM & Core
Interacting with RESTful APIs for Data Extraction
Unit 1: API Basics and First Requests
Unit 2: Authentication and Error Handling
Unit 3: Advanced API Interaction Patterns
Testing and Best Practices for Data Engineering Code
