Advanced Python: Real-World Programming Deep Dive (2024)

Advanced Python: Real-World Programming Deep Dive (2024), available at Free, has an average rating of 4.65, with 35 lectures, 43 quizzes, based on 27 reviews, and has 2577 subscribers.

You will learn about Master Data Processing Patterns: Learn Mapping, Filtering, and Reducing for efficient data processing in Python. Implement Functional Data Structures: Understand NamedTuples and dataclasses (frozen and mutable). Create Generator Functions and Expressions: Learn to handle large data sets efficiently with generators in Python. Use Python's Higher-order Functions: Gain skills in map(), filter(), and reduce() for concise, readable code. Explore Python’s Itertools Module: Develop advanced techniques using itertools for complex data manipulations. Apply Mathematical Functions in Python: Use mathematical functions effectively and craft both readable and performant code. Grasp Functional Programming Philosophy: Understand its core principles and distinction from other paradigms in Python. Compare Python Programming Paradigms: Analyze differences between functional, procedural, and OOP. This course is ideal for individuals who are Aspiring and Experienced Python Developers: Ideal for those looking to deepen their understanding of Python through the lens of functional programming. or Data Engineers and Analysts: Professionals who manage and transform large datasets, seeking more efficient and readable coding methods. or Software Architects and Designers: For those who design complex systems and are interested in incorporating functional programming paradigms into their workflows. or Academic Researchers: Beneficial for researchers in fields like data science, computer science, and mathematics who require advanced Python skills for data analysis and algorithm development. or Anyone with a curiosity for Python and Functional Programming: Whether you’re looking to advance your career or personal growth, this course will provide valuable insights into modern programming techniques. It is particularly useful for Aspiring and Experienced Python Developers: Ideal for those looking to deepen their understanding of Python through the lens of functional programming. or Data Engineers and Analysts: Professionals who manage and transform large datasets, seeking more efficient and readable coding methods. or Software Architects and Designers: For those who design complex systems and are interested in incorporating functional programming paradigms into their workflows. or Academic Researchers: Beneficial for researchers in fields like data science, computer science, and mathematics who require advanced Python skills for data analysis and algorithm development. or Anyone with a curiosity for Python and Functional Programming: Whether you’re looking to advance your career or personal growth, this course will provide valuable insights into modern programming techniques.

Enroll now: Advanced Python: Real-World Programming Deep Dive (2024)

Summary

Title: Advanced Python: Real-World Programming Deep Dive (2024)

Price: Free

Average Rating: 4.65

Number of Lectures: 35

Number of Quizzes: 43

Number of Published Lectures: 35

Number of Published Quizzes: 43

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 78

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

• Master Data Processing Patterns: Learn Mapping, Filtering, and Reducing for efficient data processing in Python.
• Implement Functional Data Structures: Understand NamedTuples and dataclasses (frozen and mutable).
• Create Generator Functions and Expressions: Learn to handle large data sets efficiently with generators in Python.
• Use Python's Higher-order Functions: Gain skills in map(), filter(), and reduce() for concise, readable code.
• Explore Python’s Itertools Module: Develop advanced techniques using itertools for complex data manipulations.
• Apply Mathematical Functions in Python: Use mathematical functions effectively and craft both readable and performant code.
• Grasp Functional Programming Philosophy: Understand its core principles and distinction from other paradigms in Python.
• Compare Python Programming Paradigms: Analyze differences between functional, procedural, and OOP.

Who Should Attend

• Aspiring and Experienced Python Developers: Ideal for those looking to deepen their understanding of Python through the lens of functional programming.
• Data Engineers and Analysts: Professionals who manage and transform large datasets, seeking more efficient and readable coding methods.
• Software Architects and Designers: For those who design complex systems and are interested in incorporating functional programming paradigms into their workflows.
• Academic Researchers: Beneficial for researchers in fields like data science, computer science, and mathematics who require advanced Python skills for data analysis and algorithm development.
• Anyone with a curiosity for Python and Functional Programming: Whether you’re looking to advance your career or personal growth, this course will provide valuable insights into modern programming techniques.

Target Audiences

• Aspiring and Experienced Python Developers: Ideal for those looking to deepen their understanding of Python through the lens of functional programming.
• Data Engineers and Analysts: Professionals who manage and transform large datasets, seeking more efficient and readable coding methods.
• Software Architects and Designers: For those who design complex systems and are interested in incorporating functional programming paradigms into their workflows.
• Academic Researchers: Beneficial for researchers in fields like data science, computer science, and mathematics who require advanced Python skills for data analysis and algorithm development.
• Anyone with a curiosity for Python and Functional Programming: Whether you’re looking to advance your career or personal growth, this course will provide valuable insights into modern programming techniques.