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Computer Science and Programming

Categories: Technologies
Language: English
Subscribers: 156.44K
Description from channel

Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python
For Ads: @otchebuch & @cobbl, https://telega.io/c/computer_science_and_programming

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The latest Messages 5

2024-01-11 12:09:58
12 Most Common git Commands YOU MUST KNOW

- init
- clone
- status
- add
- commit
- push
- pull
- branch
- checkout / switch
- merge
- diff
- log
16.8K views09:09
Open / Comment
2024-01-08 17:53:33
Instagram System Design Overview

- Clients (iOS, Android, Web).
- Microservices for varied functionalities.
- Databases: MySQL, Cassandra, Redis.
- Object storage (Amazon S3) & CDN for media.
- Caching with Memcached/Redis
- Scaling, load balancing, auto-scaling.
- Asynchronous processing with queues
- Secure authentication (OAuth), RBAC.
- Monitoring (Prometheus, Grafana) & analytics.
- Push notifications for real-time updates.
15.9K views14:53
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2024-01-05 13:07:41
GridFormer: Point-Grid Transformer for Surface Reconstruction

Paper:
https://arxiv.org/pdf/2401.02292.pdf

GitHub:
https://github.com/list17/GridFormer

@computer_science_and_programming
17.0K views10:07
Open / Comment
2024-01-02 14:12:01
Here’s description of 9 types of API testing:

1. Unit Testing: Involves testing individual components or functions of an API in isolation to ensure they function correctly and produce the expected output.

2. Functional Testing: Focuses on testing the overall functionality of the API, verifying that it performs as intended and produces accurate results.

3. Integration Testing: Tests interactions between different components or services within an API to ensure they work together seamlessly and communicate effectively.

4. Load Testing: Evaluates the API's performance under heavy load by simulating a large number of concurrent requests to identify potential bottlenecks and optimize resource usage.

5. Security Testing: Aims to identify vulnerabilities in the API by testing for potential security risks, such as unauthorized access, data leakage, or injection attacks.

6. Stress Testing: Pushes the API beyond its limits by applying extreme conditions, such as high traffic or limited resources, to determine how well it can handle such scenarios.

7. Negative Testing: Involves deliberately sending invalid or incorrect inputs to the API to verify that it responds appropriately with error messages or other expected behaviors.

8. Boundary Testing: Focuses on testing the limits of the API's inputs, such as minimum and maximum values, to ensure it handles these boundaries correctly.

9. Usability Testing: Evaluates the user-friendliness of the API by assessing how easily developers can understand its documentation, endpoints, and responses, ultimately enhancing the developer experience.
17.7K views11:12
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2023-12-30 18:26:21
Top 4 Forms of Authentication Mechanisms

1. SSH Keys - Cryptographic keys are used to access remote systems and servers securely

2. OAuth Tokens - Tokens that provide limited access to user data on third-party applications

3. SSL Certificates - Digital certificates ensure secure and encrypted communication between servers and clients

4. Credentials - User authentication information is used to verify and grant access to various systems and services
16.9K views15:26
Open / Comment
2023-12-27 17:16:14
5 Principles of Object Oriented Design (SOLID)
13.4K views14:16
Open / Comment
2023-12-24 23:22:01
Java vs. Python

Python and Java are both popular and powerful programming languages, each with its own unique strengths. Python is known for its simplicity and readability, making it an excellent choice for beginners and rapid development. Its concise syntax allows developers to express concepts with fewer lines of code, promoting faster iteration and prototyping. Python's extensive library ecosystem empowers developers to access a wide range of pre-built tools for various tasks.

On the other hand, Java is recognized for its platform independence and robustness. It's a statically-typed language, which means errors can be caught at compile time, enhancing code reliability. Java's "write once, run anywhere" philosophy enables applications to run on different platforms without modification, thanks to the Java Virtual Machine (JVM). This also makes Java well-suited for building large-scale, performance-critical applications.

In summary, Python emphasizes simplicity, readability, and rapid development, while Java prioritizes platform independence, robustness, and performance. The choice between the two largely depends on the project's requirements and the developer's preferences.
13.6K views20:22
Open / Comment
2023-12-21 17:16:29
Why Clean Architecture?

Maintainability: Changes in one layer won't lead to a domino effect of changes throughout the codebase.

Testability: Each layer is testable in isolation, making it easier to ensure your code works as expected.

Scalability: You can swap out components without disrupting the entire system. It grows with your project!

Adaptability: Technology evolves, but your core business logic remains intact. Upgrades are smoother and less painful.

Layers of Clean Architecture:

- Entity Layer: The core business logic lives here. It represents the heart of your application.
- Use Case Layer: This layer holds application-specific use cases and business rules. It orchestrates interactions between entities and ensures they stay clean and focused.

- Interface Adapters: These adapters bridge the gap between the use cases and the external world, like user interfaces and databases. They keep things flexible and adaptable.

- Frameworks & Drivers: The outermost layer deals with frameworks, tools, and external systems. It's where you connect to databases, APIs, and UI frameworks.
14.1K views14:16
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2023-12-18 14:02:51
CI/CD example for API written in Java/Spring Boot.

CI/CD stands for Continuous Integration/Continuous Deployment. It is a software development process that involves automating the building, testing, and deployment of code changes.

The CI/CD pipeline can be thought of as a factory assembly line, where each step is automated to ensure the code is high quality and ready for deployment.

The pipeline starts with Continuous Integration, where code changes are automatically built, tested, and merged into a shared repository. This step helps catch errors early and ensures the code is stable and functioning correctly.

Once the code has passed the integration tests, it moves on to Continuous Deployment. This step involves automatically packaging and deploying the code changes to a staging or production environment.

Automated testing is performed at each stage of the pipeline to ensure that the code meets the required standards and that the new changes do not break any existing functionality.

The ultimate goal of a CI/CD pipeline is to speed up the software development process, reduce errors, and quickly deliver new features and improvements to users.
14.6K views11:02
Open / Comment
2023-12-15 23:19:01
Top Programming Languages of All Times
13.7K views20:19
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