Complete Python Certified Examinations (Chapter Based: 2023)

Now is the time to get certified for Python!

This course is designed to help you prepare for the Python Professional Certification exam by providing you with a series of chapter-wise practice tests.

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

About:

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

Chapter 20: Secret

• Secret!

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

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