Python in Practice: Real-World Programming Deep Dive (2024)
Python in Practice: Real-World Programming Deep Dive (2024) , Hands-On Lectures, Notebooks, Scripts, and Functional Python Programming Techniques for Readability and Performance.
What you”ll 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.
Description
Welcome to “Python in Practice: Real-World Programming Deep Dive (2024).”
This course is designed for developers who already have some experience with Python programming and are looking to take their code writing skills to the next level. This course will help you understand and apply functional programming concepts to achieve exactly that!
Over a concise series of lessons, we aim to show you how functional Python programming can make your code cleaner, more efficient, and easier to maintain.
WHAT YOU WILL LEARN
- Introduction to Functional Programming: Get a clear understanding of what functional programming is and how it can be used with Python to make your work more effective.
- Using Python’s Functional Features: Learn about lambda functions, iterators, and generators, and see how they can help you write better code.
- Real-World Practical Applications: Work through coding exercises that apply functional programming to common coding tasks and scenarios, helping you see the benefits in terms of code efficiency and maintenance.
- Specialized Patterns for Processing Data: Discover how mapping, filtering, and reducing data can simplify the way you handle data, making your code more readable.
- Python’s Built-in Functions for Functional Programming: Get to grips with Python’s map(), filter(), and reduce() functions to improve how you approach coding tasks.
- Advanced Topics: Explore more complex uses of functional programming in Python, including working with the itertools module and using specialized data structures like NamedTuples and dataclasses.
This course is all about giving you the strategies, techniques, tools and understanding you need to take your code writing skills to the level of senior Python developers, by incorporating functional programming into your Python projects.
It’s designed to be practical and directly applicable to the kinds of challenges you face as a developer.
WHO THIS COURSE IS FOR
- Python Developers: If you have existing Python programming experience and want to deepen your understanding of functional programming, this course is for you.
- Professionals Looking to Improve: If you’re seeking to make your Python coding practice more efficient and your code more maintainable, this course offers practical steps to achieve that.
- Python Enthusiasts: Anyone with an interest in Python and functional programming will find valuable insights and skills in this course.
Enroll today in “Python in Practice: Real-World Programming Deep Dive (2024)” and leave with a solid understanding of functional Python programming principles and how to apply them to make your code cleaner, more readable, more performant, and more efficient.
Who this course is for:
- 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.
