CSV File Handling in Python|Read & Write CSV Files|0478 / 9618 / OCR|PPT|Worksheet|MCQ|Mark Scheme

CSV File Handling in Python: Reading, Writing & Processing Data (Cambridge IGCSE 0478, AS & A Level 9618, OCR GCSE J277)

Give students a realistic way to practise file handling. CSV files are how real programs store tables of data, such as names, scores, stock and results. This ready-to-use bundle takes students from reading a single line to loading, searching, updating and saving whole datasets.

Syllabus note: the specifications require reading and writing text files. This pack applies those skills to CSV data, which is a common context for exam-style programming questions and practical tasks. It does not claim that CSV handling is a separate syllabus topic.

What’s included

PowerPoint presentation: step-by-step explanations with worked code examples and diagrams of how a CSV file maps to records and fields
Worksheet: graded tasks from reading a simple file to processing and writing back data
Hands-on activity: a practical task such as building a student marks or inventory system that saves to a CSV file
MCQ quiz: quick questions for starters, plenaries or assessment
Full mark scheme: answers and explanations for every task, so marking is quick and consistent

Topics covered

What a CSV file is, and records, fields and delimiters
Opening, reading, writing and appending files, and closing safely with with
Splitting lines with .split(",") and removing newlines with .strip()
Converting data types when reading values from a file
Storing file data in lists and 2D lists
Searching, filtering and calculating totals and averages from file data
Updating records and writing the data back to the file
Using Python’s csv module (csv.reader and csv.writer) as an extension
Handling errors, such as FileNotFoundError and missing or malformed data
Common mistakes, such as overwriting data in write mode

Why teachers like it

Zero prep: download and teach
Differentiated tasks that support all learners and stretch the more able
Realistic data tasks that build on existing file-handling lessons
Fully editable
Works for lessons, homework, revision and cover work

Suitable for

Teachers of Cambridge IGCSE Computer Science (0478), Cambridge AS & A Level Computer Science (9618) and OCR GCSE Computer Science (J277), and any KS4/KS5 or beginner-to-intermediate Python course. OCR A Level students will find it useful for NEA data-handling projects.

Please leave a review and follow my shop for more Computer Science resources!