How to Learn Python from Scratch

If you want to learn programming today, the easiest and most popular language is Python . It is not only easy to learn but you can do many things through it – like web development, data science, artificial intelligence, automation, machine learning, scripting, and much more. In this blog, we will see step-by-step how to learn Python from zero , what resources to use, what projects to work on and how to go from a beginner to an expert. Why learn Python? There are many benefits of learning Python: This is a simple and readable language, which even a beginner can understand easily. Python is open-source i.e. it is available for free. It has many libraries and frameworks like Django, Flask, Pandas, NumPy, TensorFlow etc. The demand for Python is increasing very rapidly in the job sector. Step 1: Start with the Basics If you are a complete beginner, first install Python on your computer. You can download it from the official website – python.org. After installing, you ...
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What Are the Best Practices for DevOps and Continuous Integration?

 Software quality and efficiency can be improved by putting DevOps and Continuous Integration (CI) best practices into practice. Here is a condensed overview of important procedures:

1. Make Everything Automated

CI Automation: Programmatically create, test, and deploy applications.
Automation of infrastructure: Make use of programs like Ansible or Terraform.




2. Put Version Control in Place

Source Code Management: Handle version control with Git.
Branching Strategies: Use branching techniques that work, such as GitFlow.

3. Use the architecture of Microservices

Decoupling: Create stand-alone microservices out of applications.
Service Communication: To communicate between services, use APIs.

4. Assure Ongoing Examination

Execute unit, integration, and end-to-end tests using automated testing.
Test Coverage: To guarantee the quality of the code, keep the coverage high.



5. Keep an eye on and record

Real-time monitoring: Make use of programs such as Grafana or Prometheus.
Centralized Logging: For log analysis, use Splunk or ELK Stack.

6. Encourage Cooperation

Cross-Functional Teams: Promote cooperation among QA, ops, and development.
Feedback Loops: Address problems and improve procedures on a regular basis.



7. Put Continuous Delivery/Deployment into Practice

Pipelines that are Automated: Establish smooth pipelines for deployment.
Strategies for Deployment: To reduce risk, use canary or blue-green releases.



8. Keep Your Pipelines Safe

Implement stringent permissions for CI/CD tools as part of access control.
Security Scanning: Make sure your pipeline includes security checks.

9. Expand and Enhance the Infrastructure

Resource management: Track and maximize the use of the infrastructure.
Scalability: Create systems that can effectively handle growing loads.


10. Training and Documentation

Process Documentation: For consistency, keep documentation up to date.
Constant Learning: To stay current on best practices, spend money on training.

In summary

By adhering to these best practices, you may create more effective, cooperative teams, optimize your DevOps and CI processes, and enhance the quality of your software. You may provide more dependable and efficient software delivery by automating procedures, preserving scalability, and assuring strong testing and security.

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