Course overview
Python training develops practical programming habits through small, testable exercises. Learners move from syntax and functions to files, data structures, exceptions, libraries and project organisation.
Learning outcomes
- Write clear Python programs
- Use collections, functions and modules
- Work with files and structured data
- Handle errors and debug code
- Use selected libraries responsibly
- Build a focused practical project
Curriculum
01 · Language basicsVariables, types, operators, input, conditions and loops.
02 · Data structuresLists, tuples, dictionaries, sets and comprehensions.
03 · Functions and modulesReusable logic, parameters, scope and packages.
04 · Files and errorsFile operations, exceptions, validation and debugging.
05 · Object orientationClasses, objects, methods and inheritance basics.
06 · Applied projectAutomation, data or web-oriented project based on the learner track.
Practical assignment
Example task
Automate a small file or data-processing task using clear functions, input validation, error handling and reusable modules, then explain test cases and operating instructions.
Who this course suits
- Students learning their first language
- Professionals automating repetitive tasks
- Data and AI learners
- Developers adding Python to their toolkit
Learning format and prerequisites
Short coding exercises, debugging tasks, guided assignments and a project that can be explained clearly in an interview.
No prior programming experience is required for the foundation track.
Before enrolling: confirm the syllabus, trainer, schedule, delivery mode, practical access, fee and support included in the current batch.