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Advanced Python in 7 days

Track :

Programming

Lessons no : 37

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What will you learn in this course?
  • Master advanced Python scripting techniques for efficient automation and data analysis using libraries like NumPy and Pandas
  • Implement object-oriented programming concepts to develop scalable and maintainable Python applications in real-world projects
  • Utilize Python decorators, generators, and context managers to optimize code performance and readability in complex workflows
  • Apply advanced debugging, testing, and profiling tools to ensure robust and error-free Python code in professional environments
  • Leverage Python's meta-programming capabilities to create dynamic classes and functions for flexible software solutions
  • Integrate Python with APIs and web services to automate data retrieval and enhance application functionality
  • Develop custom Python modules and packages to streamline project organization and code reuse in large-scale projects
  • Use advanced Python features to handle exceptions and errors effectively, ensuring reliable software operation
  • Implement best practices for Python code optimization, including memory management and performance tuning
  • Create and manipulate complex data structures like linked lists, trees, and graphs for sophisticated data processing tasks
  • Design and implement multi-threaded and asynchronous Python programs for improved concurrency and performance
  • Apply advanced object-oriented programming techniques, including inheritance and polymorphism, to build complex software systems

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Lessons | 37


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