Associate in Python

Associate in Python Training and Certification in Coimbatore

Unlock your programming potential with our Associate in Python course, designed to build a strong foundation in one of the most versatile and in-demand programming languages today. Whether you’re a beginner or an aspiring software developer, this course equips you with the essential skills to write clean, efficient, and practical Python code for real-world applications.

The Associate-level program covers Python from the ground up—starting from basic syntax and data types, progressing through functions, OOP (Object-Oriented Programming), file handling, and error handling, and ending with modules, libraries, and project building. This course is ideal for students, job seekers, and professionals looking to enter the fields of software development, automation, data science, AI, and more.


Course Highlights

  • Beginner-Friendly: Designed for learners with little to no prior coding experience

  • Core Python Skills: Gain expertise in writing programs using variables, loops, functions, and classes

  • Hands-On Practice: Real-time coding labs and assignments to solidify concepts

  • Mini Projects: Build basic applications using Python to showcase your skills

  • Industry-Oriented Curriculum: Covers the most relevant features and standards of modern Python


Topics Covered

  • Introduction to Python and its use in modern tech

  • Installing Python and working with IDEs (like PyCharm, VSCode, Jupyter)

  • Data types, operators, and expressions

  • Control flow (if-else, loops) and iterations

  • Functions and modular programming

  • String manipulation and file handling

  • Exception handling and debugging

  • Object-Oriented Programming (Classes, Objects, Inheritance)

  • Working with popular modules and libraries

  • Introduction to GUI or web scraping (optional add-ons)

  • Capstone mini-project to demonstrate your learning


Ideal For:

  • College students or freshers looking to start a programming career

  • Non-programmers who want to transition into software roles

  • Professionals exploring automation or software scripting with Python

  • Candidates preparing for Python certification or job interviews


What You’ll Receive:

  • Instructor-led classroom or online training

  • Access to real-world coding assignments and tests

  • Course completion certificate

  • Support for certification exams like PCAP (Certified Associate in Python Programming)

  • Interview guidance and career counseling


Python’s simplicity and power make it one of the top choices in today’s programming world. Enroll in our Associate in Python course to take the first step in your programming career with confidence.

Syllabus

Modules

  • Modules and Packages - 12%
  • - Import and use modules and packages


    import variants: import, from import, import as, import *


    advanced qualifying for nested modules


    the dir() function


    the sys.path variable


    - Perform evaluations using the math module


    functions: ceil(), floor(), trunc(), factorial(), hypot(), sqrt()


    - Generate random values using the random module


    functions: random(), seed(), choice(), sample()


    - Discover host platform properties using the platform module


    functions: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()


    - Create and use user-defined modules and packages


    idea and rationale;


    the __pycache__ directory


    the __name__ variable


    public and private variables


    the __init__.py file


    searching for/through modules/packages


    nested packages vs. directory trees


  • Exceptions - 14%
  • - Handle errors using Python-defined exceptions


    except, except:-except, except:-else:, except (e1, e2)


    the hierarchy of exceptions


    raise, raise ex


    assert


    event classes


    except E as e


    the arg property


    - Extend the Python exceptions hierarchy with self-defined exceptions


    self-defined exceptions


    defining and using self-defined exceptions


  • Strings - 18%
  • - Understand machine representation of characters


    encoding standards: ASCII, UNICODE, UTF-8, code points, escape sequences


    - Operate on strings


    functions: ord(), chr()


    indexing, slicing, immutability


    iterating through strings, concatenating, multiplying, comparing (against strings and numbers)


    operators: in, not in


    - Employ built-in string methods


    methods: .isxxx(), .join(), .split(), .sort(), sorted(), .index(), .find(), .rfind()


  • Object-Oriented Programming - 34%
  • - Understand the Object-Oriented approach


    ideas and notions: class, object, property, method, encapsulation, inheritance, superclass, subclass, identifying class components


    - Employ class and object properties


    instance vs. class variables: declarations and initializations


    the __dict__ property (objects vs. classes)


    private components (instances vs. classes)


    name mangling


    - Equip a class with methods


    declaring and using methods


    the self parameter


    - Discover the class structure


    introspection and the hasattr() function (objects vs classes)


    properties: __name__, __module__ , __bases__


    - Build a class hierarchy using inheritance


    single and multiple inheritance


    the isinstance() function


    overriding


    operators:


    not is


    - , is


    polymorphism


    overriding the __str__() method


    diamonds


    - Construct and initialize objects


    declaring and invoking constructors


  • Miscellaneous (Scope: List Comprehensions, Lambdas, Closures, and I/O Operations)
  • - Build complex lists using list comprehension


    list comprehensions: the if operator, nested comprehensions


    - Embed lambda functions into the code


    lambdas: defining and using lambdas


    self-defined functions taking lambdas as arguments


    functions: map(), filter()


    - Define and use closures


    closures: meaning and rationale


    defining and using closures


    - Understand basic Input/Output terminology


    I/O modes


    predefined streams


    handles vs. streams


    text vs. binary modes


    - Perform Input/Output operations


    the open() function


    the errno variable and its values


    functions: close(), .read(), .write(), .readline(), readlines()


    using bytearray as input/output buffer