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
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Beginner-Friendly: Designed for learners with little to no prior coding experience
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Core Python Skills: Gain expertise in writing programs using variables, loops, functions, and classes
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Hands-On Practice: Real-time coding labs and assignments to solidify concepts
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Mini Projects: Build basic applications using Python to showcase your skills
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Industry-Oriented Curriculum: Covers the most relevant features and standards of modern Python
Topics Covered
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Introduction to Python and its use in modern tech
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Installing Python and working with IDEs (like PyCharm, VSCode, Jupyter)
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Data types, operators, and expressions
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Control flow (if-else, loops) and iterations
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Functions and modular programming
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String manipulation and file handling
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Exception handling and debugging
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Object-Oriented Programming (Classes, Objects, Inheritance)
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Working with popular modules and libraries
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Introduction to GUI or web scraping (optional add-ons)
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Capstone mini-project to demonstrate your learning
Ideal For:
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College students or freshers looking to start a programming career
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Non-programmers who want to transition into software roles
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Professionals exploring automation or software scripting with Python
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Candidates preparing for Python certification or job interviews
What You’ll Receive:
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Instructor-led classroom or online training
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Access to real-world coding assignments and tests
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Course completion certificate
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Support for certification exams like PCAP (Certified Associate in Python Programming)
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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
– 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
– 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
– 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()
– 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
– 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
