eBook Details:
![Code Code](https://cdn.guidingtech.com/imager/media/assets/206642/wedding-invitation-card-maker-6_4d470f76dc99e18ad75087b1b8410ea9.png?1539866000)
Clean code is something else that goes way beyond coding standards, formatting, linting tools, and other checks regarding the layout of the code. Clean code is about achieving quality software and building a system that is robust, maintainable, and avoiding technical debt. Improve your code’s performance by using tools for profiling and refactoring; By the end of this Clean Code in C# book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code. Object Oriented code makes it easy to add new classes without changing existing functions Avoid hybrids (half object and half data structure) The Law of Demeter: A class should not know about the innards of the objects it manipulates.
- Paperback: 500 pages
- Publisher: WOW! eBook (July 17, 2020)
- Language: English
- ISBN-10: 1838982973
- ISBN-13: 978-1838982973
eBook Description:
Clean Code in C#: Develop your programming skills by exploring essential topics such as code reviews, implementing TDD and BDD, and designing APIs to overcome code inefficiency, redundancy, and other problems arising from bad code
Traditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices.
The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You’ll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You’ll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you’ve studied API design and discovered tools for improving code quality, you’ll look at examples of bad code and understand which coding practices you should avoid.
- Write code that allows software to be modified and adapted over time
- Implement the fail-pass-refactor methodology using a sample C# console application
- Address cross-cutting concerns with the help of software design patterns
- Write custom C# exceptions that provide meaningful information
- Identify poor quality C# code that needs to be refactored
- Secure APIs with API keys and protect data using Azure Key Vault
- Improve your code’s performance by using tools for profiling and refactoring
By the end of this Clean Code in C# book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.
The Clean Coder Pdf Download
by Daniel Deutsch
Clean Code Pdf Download Free
In an open source project I started to contribute to, the concept of “clean architecture” was brought to me.
First, it was pretty overwhelming, but after some reading it made sense. I thought it might be helpful for others if I wrote down my thoughts.
Table of Contents
Visual representations
I think it’s always good to start with some visualization.
Here are the most common pictures of this concept.
The concept — presented in bullet points
Extended from Source and credit: Mattia Battiston, under CC BY 4.0
The value it can provide
- An effective testing strategy that follows the testing pyramid
- Frameworks are isolated in individual modules. When (not if) we change our mind, we only have to make a change in one place. The app has use cases rather than being tied to a CRUD system
- Screaming architecture a.k.a. it screams its intended usage. When you look at the package structure, you get a feel for what the application does rather than seeing technical details
- All business logic is in a use case, so it’s easy to find and not duplicated anywhere else
- Hard to do the wrong thing because modules enforce compilation dependencies. If you try to use something that you’re not meant to, the app doesn’t compile
- It is always ready to deploy by leaving the wiring up of the object for last. Or by using feature flags, so we get all the benefits of continuous integration
- Multiple works on stories so that different pairs can easily work on the same story at the same time to complete it quicker
- Good monolith with clear use cases that you can split in microservices later on, once you’ve learned more about them
Entities
- Represent your domain object
- Apply only logic that is applicable in general to the whole entity (e.g., validating the format of a hostname)
- Plain objects: no frameworks, no annotations
Use Cases
- Represent your business actions: it’s what you can do with the application. Expect one use case for each business action
- Pure business logic, plain code (except maybe some utils libraries)
- The use case doesn’t know who triggered it and how the results are going to be presented (for example, could be on a web page, or — returned as JSON, or simply logged, and so on.)
- Throws business exceptions
Interfaces / Adapters
- Retrieve and store data from and to a number of sources (database, network devices, file system, 3rd parties, and so on.)
- Define interfaces for the data that they need in order to apply some logic. One or more data providers will implement the interface, but the use case doesn’t know where the data is coming from
- Implement the interfaces defined by the use case
- There are ways to interact with the application, and typically involve a delivery mechanism (for example, REST APIs, scheduled jobs, GUI, other systems)
- Trigger a use case and convert the result to the appropriate format for the delivery mechanism
- the controller for a MVC
External Interfaces
- Use whatever framework is most appropriate (they are going to be isolated here anyway)
Code example
See the structure on GitHub.
First of all, it is important to understand that clean architecture is a bundle of organising principles. So therefore everything is open to personal adjustments as long as core ideas are kept intact. The linked repository is a fork of the original project that brought this architecture design idea to me. Feel free to check out the original project as well, as it reflects further improvements.
The webminer folder is structured into the basic layers:
- entities
- use_cases
- interfaces_adapters
- external_interfaces
It shall reflect the very basic approach for the design pattern.
- Starting from
entities
, you can see that the core model of this project is thearxiv_document
- The next folder,
use_cases
shows our use case, namely to request the arxiv page - After that, we go through the
interface_adapters
folder that provides adapters for process requests in a REST application or for serializing - The final and last layer is
external_interfaces
. This is where we use the flask server to implement the REST functionality
All of those layers are dependent on the core layers but not the other way around.
One important note: This is not 100% correctly implemented in the repository.
Why? Because the use cases are actually different. In reality the main use case is to provide the structured data. Another use case is to get the data from the arxiv page.
Did you spot this error in the architecture? If yes, congratulations! Not only did you bring enough curiosity to this article but you likely understand the principles well enough to build your own case and apply the concepts in reality!
Do you agree? If not, why? Thanks for reading my article! Feel free to leave any feedback!
Resources
Here are some articles I found helpful in understanding the concept of “clean architecture”:
Daniel is an LL.M. student in business law, working as a software engineer and organizer of tech-related events in Vienna. His current personal learning efforts focus on machine learning.
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