List Of Important Modules

List Of Important Modules

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Python modules commonly used in Python + AWS Data Engineering, including why you need to learn each and how it applies in real-time project

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๐Ÿ“ฆ Core Python Modules

๐Ÿง  Why Learn: These are the building blocks of any Python script. They help you control your program flow, handle files, process dates, and log everything.
๐ŸŽ“ What You’ll Gain: You’ll be able to write automation scripts, debug effectively, and control data pipelines with ease.

๐Ÿงฉ Module ๐Ÿ” Purpose / Why Learn It ๐Ÿงช Real-Time Example
๐Ÿ—‚๏ธ os File/folder operations, path management across platforms os.path.join("data", "file.csv")
โš™๏ธ sys Handle command-line args, exit strategy, runtime behavior sys.exit("Stop on failure")
โฐ datetime Timestamps for logs, file versioning, partitioning datetime.now().strftime("%Y-%m-%d")
๐Ÿงพ json Work with API responses, structured logging, or S3 data json.dumps(response)
๐Ÿ“„ csv Simple read/write for CSV without overhead csv.reader(open("file.csv"))
๐Ÿ“ข logging Log messages during ETL or Lambda processing logging.info("Job started")
โŒ› time Use delays for retries or rate-limiting time.sleep(2)
๐Ÿ’ฌ argparse Add command-line interface to your scripts --env dev --type incremental