Complete Python Certified Examinations (Chapter Based: 2023) - Free


 Are you ready to take your Python skills to the next level? Our Python Professional Certification course is tailor-made to prepare you for success on the Python Professional Certification exam. With a comprehensive set of chapter-wise practice tests, this program ensures you are well-equipped for the challenges ahead.

Why Choose This Course?

  • In-Depth Preparation: Our course consists of 20 chapters, meticulously crafted to provide you with an immersive learning experience covering the entire Python programming spectrum.

  • Expertly Crafted Questions: Every question in our practice tests comes from esteemed programming institutes and covers all the essential knowledge areas.

  • For Everyone: Whether you're a student or a seasoned programmer, this course is designed to cater to all skill levels, making it equally valuable for beginners and 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

Chapter 20: Secret

  • Secret!

Why Wait? Start Your Journey Today!

Don't miss out on the opportunity to master Python and earn your certification. Join us now and become a certified Python professional!



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