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!
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