About this course
This course focuses on building Advanced python programming reasoning skills, a vital asset for programmers, understanding syntax and problem solvers alike. Understanding how to break down complex tasks into manageable steps and develop efficient algorithms is essential in various fields such as software development, data analysis, and automation. Whether you’re a beginner or looking to strengthen your logical thinking, this course will guide you through the foundational concepts and practical applications.
What You Will Achieve:Enhance your Problem Solving Skills so that you will be able to implement efficient solutions and optimize performance for real-world applications.
Master Python’s core structures for building logic-driven applications.
Develop critical thinking and structured problem-solving approaches.
Apply logical reasoning in real-world coding scenarios.
Prepare for technical interviews and coding challenges.
Gain confidence in tackling complex programming problems.
Understand and implement control flow statements such as loops, conditionals, and functions in Python.
Build problem-solving strategies using Python to tackle logical and mathematical challenges.
Use data structures like lists, dictionaries, and sets to develop efficient algorithms.
Improve debugging and error-handling techniques in Python programs.
Understand recursion, backtracking, and dynamic programming for advanced logic building.
Beginner to intermediate Python learners aiming to improve logic-building skills.
Students and professionals in software development, data science, and engineering fields.
Coding enthusiasts preparing for coding competitions or technical job interviews.
Tutors and educators looking to enhance their logical reasoning teaching techniques.
Anyone interested in developing a structured approach to programming and problem-solving.
Experienced instructor with a deep understanding of Python programming and logic-building.
Has worked extensively in both academic and corporate settings, delivering high-quality training sessions.
Specializes in simplifying complex logic and problem-solving techniques for students.
Dedicated to helping learners grasp core programming concepts with ease.
Proficient in guiding students through competitive programming and technical interview preparation.
For more such resources and Practise Interview Questions references, do visit Python Notes by Career Credentials and 100 Most Asked Python QnA by Career Credentials .
Prepare yourself to delve into our resource portal, Prepcrazy featuring programming notes, informative books, interview question sets, coding platforms, and much more. Feel free to explore it whenever you can!
Course content
- Section Quiz -5
- Multiple Inheritance in Python
- Practice Problem of Inheritance
- Multilevel Inheritance in Python
- Single Level Inheritance in Python
- Introduction of Inheritance in python
- Section Quiz -8
- Encapsulation protected concept using data members
- Encapsulation how to make a method as a private and public
- Encapsulation of private public concept using data members
- Section Quiz -7
- Introduction of Abstraction in Python
- Abstract Class and Abstract Method Implementation
- Program of Abstract Base Class
- Section Quiz -9
- Quantifiers in Regular Expressions
- sub() function in Regular Expressions.
- findall() function in Regular Expressions
- Introduction to Regular Expressions (RegEx)
- Applications of Regular Expressions (RegEx)
- The match() Function in Regular Expressions (RegEx)
- The compile() , finditer() Functions in Regular Expressions
- WAP to check if email ID is valid using Regular Expressions.
- split() function in Regular Expressions
- search() function in Regular Expressions
- Check the validity of mobile no. using Regular Expressions
- Introduction of sql screen recorder
- Subn() function in Regular Expressions
- WAP to match string from text file using Regular Expressions
- The fullmatch() Function in Regular Expressions (RegEx)
- Section Quiz -4
- Introduction of OOPS
- Parameterised Constructor
- Concept of Instance Variable
- Introduction to Class Method
- How to Access Delete Static Variable Value
- Declaring Accessing and Deleting the Instance Variable
- Declaring Accessing and Deleting the Instance Variable
- Basics of Class and Objects
- Declare Instance Method in Class
- Default Constructor
- Basic Concept of Static Variable
- Section Quiz 2
- Predefined Modules
- Module Implementation
- Package Implementation -2
- Different Ways to import a module
- Introduction of Package in Python
- Hierarchy in Package
- Introduction to Module
- Package Implementation -1
- Section Quiz -3
- Basic File Attributes
- With Statement Program
- CSV File Practice Problem
- Implementing Try and Except Block
- File handling read,tell,seek operation
- Finally and Else Block
- File Handling Introduction
- File handling Write Operation
- Basic Operation with CSV file
- Reading and Writing Binary Data
- Introduction to Exception Handling
- Try and Except Block
- Section Quiz -6
- Method Overloading in Python
- Constructor Overriding in Python
- Method Overriding in Python
- Operator Overloading in Python
- Garbage Collector and Destructor
- Constructor Overloading in Python
- Introduction To Polymorphism in Python
- Super() Method use cases in Python
- Section Quiz 1
- Function Practice 2
- Variable length Argument
- Conditional Statement (If else)
- Function Based Practice Question
- Transfer Statement(Break Statement)
- Recursion Function and Nested Function
- Transfer Statement(Continue and Pass Statement)
- Typecasting
- Default Argument
- Keyword Argument
- Operators in Python
- Positional Argument
- Function Practice 1
- Practice Question -1
- Practice Question - 2
- Why Datatypes are immutable?
- Control & Looping Statement-2
- Control & Looping Statement-3
- Conditional Statement (Nested if else )
- Flavors of Python
- Features of Python
- Conditional Statement
- Conditional Statement (Else if ladder)
- String Slicing
- Practice Question - 3
- Introduction to Python
- Control & Looping Statement-1
- Control & Looping Statement-5
- Control & Looping Statement-4
- Python Installation
- Identifiers in Python
- Data Types in Python
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