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Advanced python

Track :

Programming

Lessons no : 13

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What will you learn in this course?
  • Master advanced Python techniques including decorators, generators, and context managers for efficient coding and optimization
  • Implement object-oriented programming principles in Python to develop scalable, maintainable, and robust applications
  • Utilize Python's advanced data structures and algorithms to solve complex problems effectively and efficiently
  • Apply Python's metaprogramming and reflection capabilities to create dynamic and flexible code solutions
  • Optimize Python code performance through profiling, debugging, and memory management strategies
  • Develop and deploy Python applications using best practices for code normalization, modularity, and readability
  • Leverage Python libraries and frameworks for data analysis, automation, and software development projects
  • Create secure, high-quality Python code by understanding exception handling, testing, and security best practices

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Lessons | 13

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Learning Python is easy as compared to other high-level, object-oriented programming languages such as Java or C++but it has a few advanced concepts that come in handy when developing code that is robust, crisp, highly optimized, efficient, and normalized .