Building a Wordcount Tool in Python for Multiple Files
Learn to read, process, and summarize text data across multiple files simultaneously using modern Python file-handling techniques.
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AI instructor
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In English
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About this course
Processing text data across multiple documents is a fundamental task in data engineering and software development. This text-based course helps you build a command-line utility that reads multiple files, counts their contents, and outputs structured summaries. You will start with the core concepts of file streams and error handling, then move on to writing clean, maintainable code. What you'll learn: Understand core file-handling mechanics and stream operations in Python; Manage multiple file inputs safely using modern path-handling libraries; Implement robust exception handling for missing or unreadable files; Calculate precise counts for lines, words, and bytes across diverse text encodings; Generate clean, formatted console summaries of aggregated file data; Apply modern Python type hints to ensure your utility is robust and maintainable. This course begins with essential file-reading terminology and foundational concepts before guiding you through structured coding exercises. It is designed for beginners who have a basic grasp of Python syntax and want to build practical command-line tools. Start learning today and master the fundamentals of file processing.
What you'll get
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Certificate of completion
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Personal AI tutor
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Lifetime access
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Phone or computer
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14-day refund
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Short & focused
2h 48m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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