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Beginners Python advanced

Track :

Programming

Lessons no : 59

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What will you learn in this course?
  • Master advanced Python programming concepts including decorators, generators, and context managers for real-world applications
  • Implement efficient data manipulation and analysis techniques using Python libraries like pandas and NumPy
  • Develop scalable Python scripts for automation, data processing, and software development projects
  • Apply object-oriented programming principles to design robust, reusable Python code for complex systems
  • Utilize debugging, testing, and optimization strategies to enhance Python code performance and reliability
  • Create custom Python modules and packages to organize and distribute code effectively
  • Integrate Python with databases and web services for dynamic data-driven applications
  • Leverage advanced Python features such as metaclasses and threading for high-performance programming
  • Implement best practices for writing clean, maintainable, and efficient Python code in professional environments
  • Use Python for data visualization and reporting with libraries like Matplotlib and Seaborn
  • Build and deploy Python applications using virtual environments and version control systems like Git
  • Troubleshoot and resolve common Python programming challenges in real-world scenarios

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  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 59
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