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Python Numbers

Track :

Programming

Lessons no : 16

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What will you learn in this course?
  • Master how to perform arithmetic operations with integers and floating-point numbers in Python
  • Apply type conversion techniques to handle different numeric data types effectively in Python programming
  • Implement Python functions to manipulate and analyze integer and floating-point data accurately
  • Identify and resolve common issues related to floating-point precision and rounding in Python calculations
  • Utilize Python's built-in functions to generate, modify, and evaluate numeric data types efficiently
  • Develop practical scripts that incorporate integers and floating-point numbers for real-world problem solving
  • Understand the differences between integers, floating-point, and complex numbers in Python for accurate data modeling
  • Leverage Python numeric types to optimize performance in data analysis, scientific computing, and numerical applications

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Lessons | 16


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Python has three built-in numeric data types: integers, floating-point numbers, and complex numbers. In this section, you'll learn about integers and floating-point numbers, which are the two most commonly used number types .