This repository contains a collection of pattern printing problems, machine learning resources, and interview questions relevant to the Webkul recruitment process. The examples are written in Python, and you'll also find helpful information related to Webkul's salary structure and job expectations.
- Pattern Printing Questions in Python
- Interview Questions for Python
- Machine Learning at Webkul
- Webkul Salary Information
- Resources
Explore various pattern printing examples written in Python. These include common interview questions such as:
- Triangle patterns
- Pyramid patterns
- Diamond patterns
- Floyd’s triangle
- Pascal’s triangle
- Star and number patterns
Examples are provided with step-by-step explanations and code comments for better understanding. Check out the examples in the patterns/ folder.
This section includes common coding problems and conceptual questions that are typically asked during Python interviews at Webkul. Topics include:
- Data Structures and Algorithms
- Object-Oriented Programming
- File Handling
- Regular Expressions
- Database Operations with Python
- Web Development with Django/Flask
Find the interview_questions/ folder for solutions and explanations.
Webkul has started exploring Machine Learning as part of their technology stack. This section includes introductory content, tutorials, and sample projects related to:
- Supervised Learning
- Unsupervised Learning
- Neural Networks
- Machine Learning Libraries (scikit-learn, TensorFlow, Keras)
Check the machine_learning/ folder for more details.
If you're preparing for an interview at Webkul, knowing the salary structure might be helpful. Webkul provides competitive salaries based on experience, skills, and role. Typical salary ranges for Python developers at Webkul:
- Fresher: ₹3.5L – ₹6L per annum
- Experienced (2-5 years): ₹6L – ₹12L per annum
Salary negotiations also depend on interview performance and additional skills like machine learning or web development.
- Webkul GitHub: Official GitHub profile for Webkul.
- Pattern Questions (PDF): You can download the Python Pattern Questions PDF for offline use.
- Sample Python Interview Questions: Examples of Python coding problems asked during Webkul's interview process.
Contributions are welcome! Feel free to open an issue or submit a pull request if you want to add more patterns or machine learning resources.
This project is licensed under the MIT License. See the LICENSE file for more details.