Python Skills:

• Syntax and Data Structures: Solid understanding of Python syntax, variables, data types (strings, lists, dictionaries, etc.), control flow statements (loops, conditional statements), functions, and modules.
• Object-Oriented Programming: Familiarity with OOP concepts like classes, objects, inheritance, and polymorphism.
• Exception Handling: Ability to handle errors and exceptions gracefully for smooth operation.
• Testing: Knowledge of unit testing and integration testing frameworks like unittest, pytest, or mock.
• Version Control: Familiarity with Git for code versioning and collaboration.

Web Development Skills:

• Web Frameworks: Expertise in popular Python web frameworks like Django, Flask, or FastAPI. Understanding of MVC (Model-View-Controller) architecture.
• Databases: Proficiency in relational databases like PostgreSQL or MySQL, and NoSQL databases like MongoDB.
• Networking and APIs: Familiarity with HTTP protocols, RESTful APIs, and JSON data format.
• Security: Understanding of web security best practices like authentication, authorization, and data encryption.
• Front-End Technologies (Optional): Knowledge of HTML, CSS, and JavaScript can be beneficial for understanding the full web development cycle.
  
  

Software Development Skills:

• Algorithms and Data Structures: Understanding of common algorithms like sorting, searching, and data structures like queues, stacks, and trees.
• Design Patterns: Knowledge of common design patterns like MVC, MVVM, and Singleton for code organization and reusability.
• Concurrency and Asynchronous Programming: Familiarity with threads, processes, and asynchronous programming techniques for handling multiple tasks efficiently.
• Deployment and CI/CD: Experience with deploying applications to cloud platforms like Heroku or AWS, and understanding of continuous integration and continuous deployment (CI/CD) practices.

Additional Skills:

• Problem-solving and Debugging: Strong analytical skills for identifying and resolving technical issues.

Bonus Skills: 

• Machine Learning: Knowledge of Python libraries like NumPy, Pandas, and scikit-learn for data analysis and machine learning projects.