Functional Programming with Python Comprehensions
What you'll learn
- How to understand and apply the 'action source condition' model of comprehensions.
- The difference between imperative and declarative programming styles.
- How to identify, write and use functional code.
- How to create clean, concise list, set and dictionary comprehensions.
- How to create and use generator comprehensions.
- How to create and use nested comprehensions.
- How to solve job interview style questions using functional code.
- List Comprehensions
- Set Comprehensions
- Dictionary Comprehensions
- Generator Comprehensions
- Lazy Evaluation
- Declarative Programming
- Functional Programming
- Immutability
Requirements
- Some basic Python would be ideal, such as a good understanding of the syntax, basic data types and loops.
Description
Welcome to Functional Programming with Python Comprehensions!
This course is carefully crafted to bridge the gap between beginner and intermediate Python programming, focusing specifically on functional programming principles. Throughout the course, you'll embark on a transformative journey, mastering the art of using list, set, dictionary, and nested comprehensions to write clearer, concise, and more efficient code.
At the end of this course you can expect to have a real understanding of:
List Comprehensions.
Set Comprehensions.
Dictionary Comprehensions.
Generator Comprehensions.
Nested Comprehensions.
The difference between Imperative & Declarative Programming styles.
Each section is supplemented with quizzes and coding exercises that allow you to practice and solidify your understanding of the material. These exercises are designed to mirror real-world scenarios and job interview scenarios, enabling you to develop problem-solving skills while applying functional programming concepts.
Additionally, this course offers a unique feature—a monthly job interview style question. Each month, you'll be presented with a challenging question designed to test your understanding of functional programming concepts and your ability to apply them in a practical setting. These exercises will not only help you gauge your progress but also prepare you for real-world coding interviews.
By the end of this course, you'll have mastered the art of functional programming with Python comprehensions. You'll possess a deep understanding of the benefits and applications of functional programming, allowing you to write cleaner, more concise, and highly efficient code. Whether you aim to enhance your career prospects, tackle complex coding challenges, or simply expand your programming skill set, this course equips you with the knowledge and confidence to excel.
Enroll now and embark on a transformative journey into the realm of functional programming with Python comprehensions. Let's unlock the power of functional programming together and take your Python programming skills to new heights!
Who this course is for:
- This course is for beginner/intermediate Python programmers wanting to include functional programming concepts in their code.
- Programmers wanting to learn how to use comprehensions in their programs.
- Programmers wanting to understand how to use declarative code, and be able to translate code from imperative to declarative.
- Programmers wanting to prepare for job interviews and careers where clean functional code is common place.
Instructor
- 4.5 Instructor Rating
- 439 Reviews
- 4,557 Students
- 3 Courses
Hi, I'm James from the U.K.
I'm a software engineer for a scientific organisation, and prior to this I have worked as a freelance engineer building Python programs in automation, machine learning and data science. I have also worked for 5 years as a lecturer in Computer Science and programming, specialising in Python.
I have taught Python to over 300 students in person, and completed over 3000 hours worth of online tutoring to students from all over the world. In my experience as a lecturer and tutor I have been able to compile methods and techniques to really help people understand how to use Python for their first language. I see great benefit in constantly relating lesson content to real life applications, and explaining the theory behind the scenes.
Many of my students now work as Python developers in the industry and I am proud to be the tutor that has helped them on their way.
I hold a Masters in Advanced Computer Science and a Masters in education specialising in Computing.