Functional Programming with Python Comprehensions

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James Clare

5:15:49

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1. Introduction

1. Introduction.mp4

01:43

2. Imperative vs Declarative

1.1 Programming Paradigms For Beginners.html

1.2 Programming Paradigms.pptx

1. Programming Paradigms.mp4

05:31

2. Imperative Programming.mp4

05:28

3.1 Declarative Programming.pptx

3.2 Declarative Thinking & Programming.html

3.3 imperative vs declarative.zip

3.4 Python Programming Styles.html

3. Declarative Programming.mp4

06:10

4. Programming Paradigms - Knowledge Check.html

3. The Cornerstones of Comprehensions

1.1 Action Source Condition.pptx

1. Action, Source, Condition.mp4

12:05

2.1 An Imperative vs Declarative Deep Dive.html

2.2 Converting From Imperative to Declarative.pptx

2. Converting from Imperative to Declarative.mp4

12:06

3. Comprehensions - Knowledge Check.html

4. List Comprehensions

1.1 basic list comprehensions.zip

1.2 First List Comprehensions - HD 1080p.mp4

10:12

1.3 Your First List Comprehensions.pptx

1. Our First List Comprehensions.mp4

10:12

2. Passing User Defined Functions as Actions.mp4

09:39

3.1 Applying A Simple Condition.pptx

3.2 list comprehensions with conditions.zip

3. Applying a Simple Condition.mp4

11:42

4.1 Complex Conditions.pptx

4. Using Complex Conditions.mp4

13:40

5.1 list comprehensions with user defined functions.zip

5. Passing a User Defined Function as a Condition.mp4

12:08

6.1 The Walrus Operator.pptx

6.2 walrus operator.zip

6. The Walrus Operator.mp4

13:14

7.1 if else list comprehension.zip

7.2 Using Else in a List Comprehension.pptx

7. Using Else in a List Comprehension.mp4

11:35

8.1 Comprehension Alternatives.pptx

8.2 map and filter examples.zip

8. Alternatives to Comprehensions.mp4

14:18

9.1 Experimenting With Actions.pptx

9.2 experimentswithactions.zip

9.3 python zen.txt

9. Experimenting with Actions.mp4

19:22

10.1 listcompchallenge.zip

10. Stop and Code! - List Comprehensions.mp4

06:16

11. List Comprehensions - Knowledge Check.html

12. List Comprehensions - Coding Challenge 1.html

13. List Comprehensions - Coding Challenge 2.html

14. List Comprehensions - Coding Challenge 3.html

5. Set Comprehensions

1.1 Brief Primer on Sets.pptx

1.2 set basics.zip

1.3 setprimer.zip

1. A Brief Primer on Sets.mp4

05:08

2.1 Set Comprehensions.pptx

2.2 set comprehension examples.zip

2. Basic Set Comprehensions.mp4

11:42

3.1 setcompchallenges.zip

3. Stop and Code! - Set Comprehensions.mp4

07:20

4. Set Comprehensions - Knowledge Check.html

5. Set Comprehensions - Coding Challenge.html

6. Generator Comprehensions

1.1 generator example.zip

1.2 HTTPBin - Use this to send Web Requests to!.html

1.3 What is a Generator.pptx

1. What is a Generator.mp4

12:28

2.1 generator expression examples.zip

2.2 Retrieving Items from a Generator Comprehension.pptx

2.3 timeit example.zip

2. Retrieving Items from your Generator Comprehension.mp4

12:41

3.1 generator challenge.zip

3. Stop and Code! - Generator Comprehensions.mp4

10:29

4. Generator Comprehensions - Knowledge Check.html

5. Generator Comprehensions - Coding Challenge 1.html

6. Generator Comprehensions - Coding Challenge 2.html

7. Dictionary Comprehensions

1.1 basic dictionary comprehensions.zip

1.2 Dictionary Comprehension Basics.pptx

1. Dictionary Comprehension Basics.mp4

24:45

2.1 Applying Functions to KeysValues.pptx

2. Applying Functions to KeysValues.mp4

13:11

3.1 dictionary comprehensions with complex conditions.zip

3.2 Using Conditions with Dictionary Comprehensions.pptx

3. Using Conditions with Dictionary Comprehensions.mp4

11:09

4. Dictionary Comprehensions - Knowledge Check.html

5. Dictionary Comprehensions - Coding Challenge 1.html

6. Dictionary Comprehensions - Coding Challenge 2.html

8. Nested Comprehensions

1.1 Nested Comprehensions.pptx

1.2 nested comprehension examples.zip

1. A Comprehension inside a Comprehension - How does that work.mp4

16:46

2.1 Nested Comprehensions - Worked Examples.pptx

2.2 nested comps worked examples.zip

2. Nested Comprehensions - Worked Examples.mp4

10:11

3.1 nested comps stop and code.zip

3. Stop and Code! - Nested Comprehensions.mp4

04:38

4. Nested Comprehensions - Knowledge Check.html

5. Nested Comprehensions - Coding Challenge.html

9. The Monthly Comprehension Challenge - Apply Your Knowledge!

1. Monthly Comprehension Challenge - September 2023.html

Description

Functional Programming with Python: Harness the Power of Comprehensions for Clearer, Concise, and Efficient Code.

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

Who is this 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.

What You Need to Know?

Some basic Python would be ideal, such as a good understanding of the syntax, basic data types and loops.

More details

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 featureâ€”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.

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Hi, I'm James from the U.K.I currently work as 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 many 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 currently hold a Masters in Advanced Computer Science and a Masters in education specialising in Computing.

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