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Programming Learning Path

The Programming Learning Path is designed for individuals starting from scratch in programming, offering comprehensive courses in programming basics and then progressing to more advanced topics. This learning path accommodates learners of varying experience levels, providing a structured approach to mastering programming skills.

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Learn Programming Basics
data types and variables
operators and control flow
using functions
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python basics
making decisions
logic and bit operations
tuples & dictionaries
mock exams
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Dive into Advanced Learning
packages and imports
core packages
API development project
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packages and pip
string and list methods
object-oriented programming
files & I/O operations
lambda methods
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How long will it take for me to complete?

I can spend
hours / day
≈ 3 Months
≈ 2 Months
≈ 4 Months
≈ 2-3 Months
≈ 2 Months
≈ 1-2 Months
≈ 2-3 Months
≈ 2 Months
≈ 1-2 Months
≈ 1 Months
≈ 2 Months
≈ 1-2 Months
* This is based on averages from our students. This may change depending on your experience and level of expertise.


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Topic based learning paths

Role based learning paths


What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Deployment. It is a set of practices and tools that enable developers to automatically build, test, and deploy software applications in a consistent and streamlined manner.

What is the difference between Continuous Integration and Continuous Deployment?

Continuous Integration (CI) focuses on automating the process of merging code changes from multiple developers into a shared repository and running automated tests to detect integration issues. Continuous Deployment (CD) takes CI a step further by automating the deployment of successfully tested code changes to production environments.

What are the benefits of implementing CI/CD?

CI/CD brings several benefits, including increased development speed, faster time to market, improved code quality, early bug detection, reduced manual errors, and easier collaboration among development teams.

What are some popular CI/CD tools?

Some popular CI/CD tools include Jenkins, GitLab CI/CD, CircleCI, Travis CI, TeamCity, and GitHub Actions. These tools provide automation capabilities for building, testing, and deploying applications.

How does CI/CD integrate with version control systems?

CI/CD tools integrate with version control systems, such as Git, to automatically trigger build and deployment processes whenever changes are pushed to the repository. This ensures that code changes are continuously tested and deployed.

What is the role of automated testing in CI/CD?

Automated testing is a crucial component of CI/CD. It includes unit tests, integration tests, and other types of automated tests that are executed as part of the CI/CD pipeline. These tests ensure the quality and reliability of the software before it is deployed.

Can CI/CD be used with containerized applications?

Yes, CI/CD is well-suited for containerized applications. Containers provide a consistent and reproducible environment for building, testing, and deploying applications, making it easier to integrate CI/CD pipelines into container-based workflows.

What are some common challenges in implementing CI/CD?

Some common challenges include managing complex deployment pipelines, ensuring compatibility across different environments, handling database migrations, maintaining good test coverage, and managing secrets and configurations securely.

Is CI/CD applicable only to cloud-based applications?

No, CI/CD can be applied to applications deployed in various environments, including on-premises, hybrid cloud, and multi-cloud environments. The principles of CI/CD can be adapted to different deployment scenarios.

What skills are important for implementing CI/CD?

Skills in version control systems (e.g., Git), scripting and automation (e.g., Bash, Python), knowledge of CI/CD tools, containerization (e.g., Docker), and infrastructure-as-code (e.g., Terraform) are valuable for successful implementation of CI/CD.