SV Infotech · Dilsukhnagar, Hyderabad
Python Programming
Personal study sheet
This is an independent study aid, not an official syllabus, admission assessment or promise of class assignments. Confirm the current teaching scope and practical access with the office.
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Set your starting point
Useful foundations: You can begin with basic computer skills. Practising logical steps and reading simple English instructions will help.
Explore the learning roadmap
01Use expressions and control flow
Work with numbers, strings, conditions and loops through small programs. Predict a result before running the code and use unexpected input to test your reasoning.
02Choose useful data structures
Compare lists, dictionaries, sets and tuples for a task. Practise iteration and transformations while explaining why a chosen structure fits the data.
03Organise functions and modules
Break a problem into small functions with clear inputs and outputs. Use imports deliberately and separate reusable code from the program's entry point.
04Handle files and exceptions
Read and write structured data with explicit paths and encodings. Catch expected failures at useful boundaries while preserving enough information to diagnose other errors.
05Understand objects and external interfaces
Explore classes where they clarify responsibilities. Discuss database or HTTP interactions as separate extensions once the language fundamentals are comfortable.
06Develop repeatable working habits
Use an isolated environment, version control and focused tests. Learn to read a traceback, reproduce a defect and explain the correction rather than changing lines at random.
Python: a worked study example
Illustrative scenario for discussion and self-study.
A sample expense file contains travel entries of 120 and 80 and a food entry of 50. A category summary should report travel 200, food 50 and a total of 250. Add a blank amount and decide how the program reports the invalid row without changing valid totals.
What to check in your work
- Test valid, missing and unexpected input separately.
- Keep parsing, validation and summarising in understandable functions.
How this pathway compares
Python Programming builds a language foundation. Data Science adds statistical and modelling questions; Generative AI adds model APIs, retrieval and evaluation. Choose the next step after you can explain and test small Python programs.
Check your reasoning
What is a useful test for a function that reads expense records?
Suggested explanation
Use a small known input with an independently calculated expected total. Add a missing amount, malformed row and empty file. Explain whether each case is rejected, reported or accepted, and keep parsing decisions separate from the calculation you want to verify.
Plan the conversation
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