Submit
Python Certification Exam Preperation - Chapter Wise (2023) – Free Udemy Course
🌐 English⭐ 4.5
$19.99Free

Python Certification Exam Preperation - Chapter Wise (2023)

About This Free Course

Now is the time to get certified for Python!

This course is designed to help you prepare for the free pcpp1 pcpp 32 101 python professional practice tests 2026 course Certification exam by providing you with a series of chapter-wise practice tests.

This Exams= contains 20 Chapters to give you the best thrilling experience on the Complete Python Programming Exam Tests!


Every Question has complete explanation.

All Questions are carried from the best programming institutes and all the knowledgeable areas.

No matter you are a student or a professional programmer, this exam is well designed for everyone from the experts.


Exam Syllabus (Chapter Wise):

Chapter 1: Introduction to Python

  • What is Python?

  • History of Python

  • Features of Python

  • Advantages of using Python

  • Setting up the Python environment

  • Running a Python program

    • Chapter 2: Variables, Data Types and Operators

    • Variables and Naming Conventions

  • Data Types: Numbers, Strings, Booleans

  • Type Conversion and Type Checking

  • Operators: Arithmetic, Assignment, Comparison, Logical, Bitwise

    • Chapter 3: Control Statements

    • Conditional Statements: if, else, elif

  • Looping Statements: for loop, while loop

  • Loop Control Statements: break, continue, pass

  • Nested loops and conditional statements

    • Chapter 4: Functions and Modules

    • Defining and calling a function

  • Function Arguments: Positional, Keyword, Default and Variable-length arguments

  • Returning values from a function

  • Modules: Creating and importing modules

  • Standard Libraries

    • Chapter 5: Object-Oriented Programming (OOP) concepts

    • Classes and Objects

  • Data Hiding and Encapsulation

  • Inheritance and Polymorphism

  • Abstract classes and Interfaces

    • Chapter 6: File Handling and Input/Output Operations

    • Opening and Closing Files

  • Reading and Writing to Files

  • Binary Files and File Modes

  • Working with Directories

    • Chapter 7: Exception Handling

    • What are exceptions?

  • Handling exceptions using try and except blocks

  • Multiple except blocks and else clause

  • Raising exceptions

    • Chapter 8: Regular Expressions

    • What are regular expressions?

  • Pattern matching and substitution

  • Meta-characters and Character Classes

  • Regular Expression functions in Python

    • Chapter 9: Working with Databases and SQL

    • Connecting to a database

  • Creating tables and inserting data

  • Retrieving data from tables

  • Updating and Deleting data

  • SQL Injection and Prevention

    • Chapter 10: Data Structures

    • Lists

  • Tuples

  • Dictionaries

  • Sets

  • Arrays

    • Chapter 11: NumPy and SciPy Libraries

    • Introduction to NumPy and SciPy

  • Arrays in NumPy

  • Mathematical Operations on Arrays

  • Linear Algebra using SciPy

    • Chapter 12: Pandas Library

    • Introduction to Pandas

  • Data Structures in Pandas

  • Data Manipulation using Pandas

  • Data Analysis using Pandas

    • Chapter 13: Matplotlib Library

    • Introduction to Matplotlib

  • Types of Plots: Line, Bar, Scatter, Histogram, etc.

  • Customizing Plots

  • Subplots and Figures

    • Chapter 14: Flask Web Framework

    • Introduction to Flask

  • Creating a Flask Application

  • Routing and Requests

  • Templates and Forms

    • Chapter 15: Django Web Framework

    • Introduction to Django

  • Creating a Django Application

  • Models, Views, and Templates

  • Admin Interface

    • Chapter 16: Machine Learning and Data Science with Python

    • Introduction to Machine Learning

  • Scikit-Learn Library

  • Linear Regression

  • Classification

  • Clustering

    • Chapter 17: Natural Language Processing (NLP) with Python

    • Introduction to NLP

  • Text Preprocessing

  • Text Classification and Sentiment Analysis

  • Named Entity Recognition

    • Chapter 18: GUI Programming with Tkinter Library

    • Introduction to Tkinter

  • Creating a GUI Application

  • Widgets and Layouts

  • Event Handling

    • Chapter 19: Advanced Python Concepts

    • Multithreading and Concurrency

  • Networking

  • GUI Toolkits: PyQt, Kivy, etc.

  • Debugging and Profiling

    • Note: This exam Covers all the topics on Complete Python Programming from Scratch!

    What are you waiting for? Join now and get Certified!

    Frequently Asked Questions

    Is this course really free?

    Yes — we provide a verified 100% OFF Udemy coupon. Enroll directly on Udemy, no credit card needed. Coupons are time-limited so enroll quickly.

    How long does the free coupon last?

    Most Udemy 100% OFF coupons last 1–3 days or up to 1,000 enrollments. FreeWebCart verifies coupons before listing, but enroll as soon as possible.

    Will I keep access after the coupon expires?

    Yes. Once enrolled, the course is yours forever — even after the coupon expires. You keep lifetime access on Udemy.

    Enroll Free on Udemy - Apply 100% Coupon

    Save $19.99 - Limited time offer

    More Free Development Courses

    DeepSeek AI Masterclass: AI Search, Insights & Productivity
    1 hours ago
    FREE
    Development > Data Science

    DeepSeek AI Masterclass: AI Search, Insights & Productivity

    👁ī¸ 0⭐ 4.5
    Free
    The Ultimate Java Programming Course: Hands-On Training
    1 hours ago
    FREE
    Development > Web Development

    The Ultimate Java Programming Course: Hands-On Training

    👁ī¸ 0⭐ 4.5
    Free
    [NEW] Program Management Professional (PgMP)ÂŽ
    2 hours ago
    FREE
    Development

    [NEW] Program Management Professional (PgMP)ÂŽ

    👁ī¸ 0⭐ 4.5
    Free
    [NEW] Professional Machine Learning Engineer
    2 hours ago
    FREE
    Development > Data Science

    [NEW] Professional Machine Learning Engineer

    👁ī¸ 0⭐ 4.5
    Free