This repository will covers all the fundamentals and advaced concepts of the python. Including DSA, multi tasking.
Python Fundamentals provides a overview of essential Python concepts, enabling developers to build a solid foundation in programming. Here’s what you can learn programming:
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Identifiers: Understand how to create meaningful and readable names for variables and functions, enhancing code clarity and maintainability.
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Datatypes and Data Structures: Gain insight into Python's fundamental data types (like integers and strings) and data structures (such as lists and dictionaries), learning how to choose the right type for your data.
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Loops: Learn to automate repetitive tasks using loops, allowing for efficient iteration over data collections and reducing code redundancy.
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Python Operators: Familiarize yourself with various operators that manipulate data, enabling you to perform calculations, comparisons, and logical operations effectively.
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List Methods: Master a range of built-in methods for list manipulation, equipping you with the skills to manage collections of data dynamically and efficiently.
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Type Conversions: Discover how to convert between data types to ensure compatibility and accuracy in data manipulation and operations.
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Shallow Copy vs Deep Copy: Understand the differences between shallow and deep copies, empowering you to manage object duplication and memory usage more effectively.
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String Formatting: Learn the various methods for formatting strings, which enhances output readability and allows for dynamic content generation in your programs.
Object - oriented give you the intution and reality of how to develop the code and design the software. From this concepts will learn how to scale the code , write the modular code , oops design principles , goals. and identify the difference in procedure and object oriented programming for scaling and modeling.