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Functional Programming With Python Comprehensions - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Functional Programming With Python Comprehensions (/Thread-Functional-Programming-With-Python-Comprehensions--1077925) |
Functional Programming With Python Comprehensions - AD-TEAM - 08-20-2025 ![]() Functional Programming With Python Comprehensions Published 9/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.93 GB | Duration: 5h 6m 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 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! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Imperative vs Declarative Lecture 2 Programming Paradigms Lecture 3 Imperative Programming Lecture 4 Declarative Programming Section 3: The Cornerstones of Comprehensions Lecture 5 Action, Source, Condition Lecture 6 Converting from Imperative to Declarative Section 4: List Comprehensions Lecture 7 Our First List Comprehensions Lecture 8 Passing User Defined Functions as Actions Lecture 9 Applying a Simple Condition Lecture 10 Using Complex Conditions Lecture 11 Passing a User Defined Function as a Condition Lecture 12 The Walrus Operator Lecture 13 Using 'Else' in a List Comprehension Lecture 14 Alternatives to Comprehensions Lecture 15 Experimenting with Actions Lecture 16 Stop and Code! - List Comprehensions Section 5: Set Comprehensions Lecture 17 A Brief Primer on Sets Lecture 18 Basic Set Comprehensions Lecture 19 Stop and Code! - Set Comprehensions Section 6: Generator Comprehensions Lecture 20 What is a Generator? Lecture 21 Retrieving Items from your Generator Comprehension Lecture 22 Stop and Code! - Generator Comprehensions Section 7: Dictionary Comprehensions Lecture 23 Dictionary Comprehension Basics Lecture 24 Applying Functions to Keys/Values Lecture 25 Using Conditions with Dictionary Comprehensions Section 8: Nested Comprehensions Lecture 26 A Comprehension inside a Comprehension - How does that work? Lecture 27 Nested Comprehensions - Worked Examples Lecture 28 Stop and Code! - Nested Comprehensions Section 9: The Monthly Comprehension Challenge - Apply Your Knowledge! 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. ![]() RapidGator NitroFlare DDownload |