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python

Track :

Programming

Lessons no : 57

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What will you learn in this course?
  • Write efficient Python code for software development, data science, and machine learning applications using core programming concepts and libraries
  • Develop data analysis and visualization skills with Python to interpret complex datasets effectively
  • Implement machine learning algorithms in Python to solve real-world problems and build predictive models
  • Utilize Python for automation and scripting to streamline workflows and improve productivity
  • Apply Python programming techniques to develop scalable, maintainable, and high-performance applications
  • Integrate Python with databases and APIs for dynamic data retrieval and management in projects
  • Debug and troubleshoot Python code efficiently to ensure robust software solutions
  • Create interactive data visualizations and dashboards using Python libraries like Matplotlib and Seaborn
  • Leverage Python frameworks and tools for web development, data analysis, and machine learning projects
  • Understand Python syntax, data structures, and object-oriented programming for advanced software solutions
  • Implement best practices for Python coding, testing, and version control in collaborative environments
  • Explore Python's role in emerging fields like artificial intelligence, deep learning, and big data analysis

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Lessons | 57
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