Agile easy 10 points to remember

by WeCanCode-Author | Mar 9, 2023 | 3 Minutes : Tutorials, General, How-To, ProTip

10 pointe to remember Agile

Agile is a project management methodology that emphasizes iterative and incremental development, flexibility, and customer collaboration.

Here are some key points to help you understand Agile:

Agile values individuals and interactions over processes and tools.
Agile encourages customer involvement and feedback throughout the development process.
Agile emphasizes the delivery of working software in short iterations, usually 1-4 weeks long.
Agile teams work collaboratively, with regular team meetings and continuous communication.
Agile embraces change, with the ability to adapt to evolving requirements and priorities.
Agile emphasizes the importance of delivering business value quickly and regularly.
Agile relies on self-organizing teams that can adapt to changing requirements and circumstances.
Agile uses a variety of tools and techniques, including user stories, daily stand-up meetings, and retrospectives.
Agile focuses on creating a minimum viable product (MVP) that can be tested and validated with customers.
Agile values quality and testing, with a focus on continuous integration and automated testing.

Get free Big O Cheatsheet

by WeCanCode-Author | Feb 11, 2022 | DSA, GiveAway

Get Free Big O Cheatsheet

To get free Big O cheatsheet, Fill in your name and email to get your copy.

Do not scared, we do not spam your inbox.

If you encounter any problem with download, please reach us via the messanger (Bottom right)

Start learning

📚 Micro services Architecture and Design patterns.
📚 Data Structures and Algorithm
Download 🔽 Your Free Big O Cheatsheet 🏁 now.

Get Free Big O Cheatsheet Now

Data Structures and algorithms.

We Provide a free copy of the Big O Notations cheatsheet for easy reference.

Why Wait Download Now!

Introduction and Characteristics of Algorithm

by WeCanCode-Author | Feb 5, 2022 | DSA

Algorithm Introduction

Introduction and Characteristics of Algorithm

Introduction and Characteristics of Algorithms is explained in detail below

Recap – Data Structures

The programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.

Algorithm Introduction

Introduction and Characteristics of Algorithms, Algorithm is a step-by-step programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.

As we saw in this article about Algorithm, Let us see in details here.

Algorithm is step-by-step procedure for solving a problem in finite number of steps. In other words it is finite set of well-defined instructions written in human readable language for solving a given problem. An algorithm is division of a problem into small steps which are in sequence. Algorithm is very important way for computers to understand the problem and process the information accordingly.

Problem can always be solved in multiple ways or can have multiple solutions to solve. Similarly Algorithms also can be written any number ways to solve the problem. Let us see the characteristic of an Algorithm.

▶ Play it on YouTube

Characteristic of an Algorithm:

Writing an Algorithm must possess the following characteristics.

Finiteness : Each algorithm must have finite number of steps, or must terminate after finite number of steps.
Input : algorithm may not have input or have many inputs.
Output : Must have 1 or more well-defined output, should match the desired output.
Unambiguous : Algorithm must be clear and unambiguous, each of the input and output
Feasibility : Resources must be utilized properly, Should never waste the resource.
Independent : Algorithm must be independent of any Programming languages.

In the next article in details about the Big O Notations in data structures with example.

LIKE | SHARE | FOLLOW

← Data Structures and Algorithms Get free Big O Cheatsheet →

WeCanCode.Live Play Store App Download Link

Download From Google Play Store Now

Data Structures and Algorithms

by WeCanCode-Author | Jan 8, 2022 | DSA, Interview

Data Structures and Algorithms

Data Structures

The programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.

Algorithms

Algorithms is a step-by-step e programmatic way of storing data, so that it can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way.

Why do we need to learn Data Structures and Algorithms?

Every day the complexity of applications are increasing which result in more complex and rich sets of data, due to the complexity we generally face the following 3 types of problems every day.

Problems faced by the large enterprise or corporate (service and data):

Data Searching: Consider users registered in social app is more than 1 million, if we want to search for one person in that 1 million, the search operation need to be performed on that 1 million user records. Thus the search operation slows down every time new user data is stored.
Processor capacity/speed: Capacity of processor need to be very high to handle such large sets of data. Failing to do so will cause poor performance and bad experience to the users.
Too-many requests: Everyone hold PC/Laptop, Mobile devices and IoT gadgets which connects to the service to perform some operation on the data. Thus the number of service request sent and received by the devices and the server are way many. Even the fastest server might fail to respond sometimes.

How to solve the above problems?

To solve the above 3 problems (Data Searching, Processor capacity/speed & Too-many requests) we can use the Data Structures.

Data can be organized in a way that data is categorized and sorted before searching, thus allowing us to search instantly.

Exactly what is that we are going to do with Data structures and algorithms?

As we already know the Algorithms is step-by-step procedure for performing an operation. And that operations are used for manipulating the data. Let’s us see the operations or the categories of algorithms.