The Python programming curriculum systematically guides learners from core language fundamentals toward system-level automation and integration.
- To begin with, the course introduces Python by covering versions, features, the execution model, and core scripting concepts.
- Following this, learners study variables, data types, operators, conditional statements, and looping constructs.
- Next, the curriculum shifts focus to input-output handling, string formatting, and type casting.
- Subsequently, learners explore Python collections, including lists, tuples, dictionaries, sets, arrays, and range.
- Thereafter, the course introduces functions, covering arguments, lambda expressions, scope, and documentation strings.
- In parallel, learners practice file handling using text, binary, CSV, JSON, XML, and PDF files.
- As the curriculum progresses, learners handle exceptions, including user-defined exceptions and structured error management.
- Additionally, learners work with modules, packages, namespaces, and package management using pip.
- Alongside this, the course introduces date and time handling, as well as regular expressions.
- Moving forward, learners study object-oriented programming concepts, including inheritance, polymorphism, and abstraction.
- At an advanced stage, the curriculum addresses multithreading concepts, focusing on thread synchronization and inter-thread communication.
- Furthermore, learners build graphical user interfaces using Tkinter.
- At the system level, learners execute Linux commands using the OS and subprocess modules.
- In terms of networking, learners implement socket programming and TCP/IP client-server models.
- Similarly, learners establish database connectivity with MySQL and Oracle, including complete CRUD operations.
- Finally, learners apply automation libraries to system administration, networking, cloud, and DevOps use cases
Overall, the curriculum prepares learners for role-oriented, real-world usage of Python rather than academic-only learning


