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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!
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