Certified Python Exams for all Fields Chapter-Wise (2023)
Crack Job Interviews, University Exams, Professional Exams, Best Python Exams from Basics to Expertise Level Fields
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What You Will Learn!
- Structured: This course is well structured, you can test your knowledge after completing your coding chapters..
- Interview Preparation: This course is well designed for students and developers who are planning for job interviews.
- Beginners: If you have learned your basics of python this exam course will show you how much you've learned.
- Professionals: Those who have knowledge about python and coding this course will test you from root.
- Chapters: All the tests are designed chapter wise, so you can choose test chapters according to your favorite topics.
- Explanations: If you were stuck somewhere, well and detailed explanation will be there for you.
Description
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!
What are you waiting for? Join now and get Certified!
Who Should Attend!
- Everybody who is preparing for the Python certification.
- Everybody who is preparing for a Python job interview.
- College Students who are having exams this will be the best option for your preparation.
- Professionals who want to test their knowledge and skills.
- Beginners developers who are planning to give interviews, and want to test their knowledge before giving Job Interview.
