🐍 Python for Data Engineering
Learn Python programming fundamentals with a focus on data engineering applications.
Level:
Beginner to Intermediate
Tools:
Python
Pandas
Requests
JSON
CSV
Jupyter Notebooks
Skills You'll Learn:
Python syntax
Data structures
File handling
API integration
Error handling
Step 1: Python Basics
- 1Install Python and set up development environment
- 2Learn variables, data types, and operators
- 3Practice with strings and string methods
- 4Understand lists, tuples, and dictionaries
- 5Work with control flow (if/else, loops)
Step 2: Functions and Modules
- 1Define and call functions
- 2Use function parameters and return values
- 3Understand scope and namespaces
- 4Import and use modules
- 5Create your own modules
Step 3: File and Data Handling
- 1Read and write text files
- 2Work with CSV files
- 3Parse and generate JSON data
- 4Handle different file formats
- 5Practice file path manipulation
Step 4: API Integration
- 1Make HTTP requests with requests library
- 2Handle API authentication
- 3Parse API responses
- 4Handle rate limiting and errors
- 5Build a simple data extraction script
Step 5: Data Processing with Pandas
- 1Install and import pandas
- 2Create and manipulate DataFrames
- 3Filter and select data
- 4Group and aggregate data
- 5Merge and join datasets
Step 6: Error Handling and Best Practices
- 1Use try/except blocks
- 2Handle specific exception types
- 3Write clean, readable code
- 4Use logging for debugging
- 5Follow PEP 8 style guidelines