Python Certification Prep

Categories: Development & Programming

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Course Content

UNIT 1: Python Foundations Review & Certification Orientation

Overview of global Python certifications (OryNet, PCEP, PCAP, Microsoft, etc.)
Understanding exam structures and scoring systems
Python setup and IDE familiarity (VS Code, PyCharm, Jupyter)
Syntax, indentation, and code readability
Input/output operations and basic programming structure
Certification-style practice questions

UNIT 2: Data Types, Variables, and Operators

UNIT 3: Control Flow, Loops, and Functions

UNIT 4: Data Structures in Depth

UNIT 5: Object-Oriented Programming (OOP) for Certification

UNIT 6: Modules, Packages, and File Handling

UNIT 7: Data Handling, APIs, and Libraries

UNIT 8: Debugging, Testing & Performance Optimization

UNIT 9: Certification Practice & Mock Tests

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Course Content

UNIT 1: Python Foundations Review & Certification Orientation

Overview of global Python certifications (OryNet, PCEP, PCAP, Microsoft, etc.)

Understanding exam structures and scoring systems

Python setup and IDE familiarity (VS Code, PyCharm, Jupyter)

Syntax, indentation, and code readability

Input/output operations and basic programming structure

Certification-style practice questions

UNIT 2: Data Types, Variables, and Operators

Numeric, string, and Boolean types

Type casting and dynamic typing

String manipulation and formatting

Arithmetic, logical, comparison, and bitwise operators

Operator precedence and associativity

UNIT 3: Control Flow, Loops, and Functions

Conditional structures: if, elif, else

Looping: for, while, nested loops

Loop control statements: break, continue, pass

Defining and invoking functions

Function parameters, scope, and return values

Lambda, map, filter, and reduce functions

UNIT 4: Data Structures in Depth

Lists, tuples, sets, and dictionaries

Indexing, slicing, and nested data structuresComprehensions (list, set, dict)

Sorting and filtering data collections

Advanced manipulation using collections module

Mutable vs Immutable structures

UNIT 5: Object-Oriented Programming (OOP) for Certification

Classes and objects

Constructors, instance, and class variables

Methods and method overriding

Inheritance, polymorphism, encapsulation, abstraction

Magic methods and operator overloading

UML basics for OOP visualization

UNIT 6: Modules, Packages, and File Handling

Importing modules (math, datetime, os, sys, etc.)

Creating and organizing custom packages

File operations: read, write, append

Exception handling and error management

Using virtual environments and pip package management

UNIT 7: Data Handling, APIs, and Libraries

Working with external data: CSV, JSON, XML

Data analysis with Pandas and NumPy (overview)

Using APIs and handling requests

Data visualization preview with Matplotlib

Parsing and storing real-world data

UNIT 8: Debugging, Testing & Performance Optimization

Debugging using pdb and IDE tools

Writing and running unit tests using unittest and pytest

Exception tracing and handling best practices

Performance profiling and optimization

Logging, documentation, and code review

UNIT 9: Certification Practice & Mock Tests

Section-wise mock exams (functions, OOP, data structures)

Time-bound coding tests

Problem-solving challenge sets (based on PCAP/PCEP standards)

Debugging and code correction exercises

Review of official-style exam patterns

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