Python Developer Career

Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Python Programming

Web Frameworks (Django, Flask)

Data Analysis and Visualization (Pandas, NumPy, Matplotlib, Seaborn)

Database Management (SQL, NoSQL)

Version Control (Git)

Testing and Debugging

DevOps Practices (CI/CD, Docker, Kubernetes)

Problem-Solving and Algorithmic Thinking

Communication and Collaboration

Cloud Computing (AWS, Azure, GCP)

API Development and Integration

Security Best Practices

Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

Problem-Solving

Communication

Teamwork and Collaboration

Time Management

Adaptability and Learning

Attention to Detail

Critical Thinking

Stress Management

Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Python Programming Language

Web Frameworks (Django, Flask)

Data Science Libraries (NumPy, Pandas, Scikit-learn)

Database Management (SQL, NoSQL)

Version Control (Git)

Testing and Debugging

DevOps Practices (CI/CD, Docker, Kubernetes)

API Development and Integration

Problem-Solving and Algorithmic Skills

Duties and Responsiblities

Task

Work Activities

95%

Writing, testing, and debugging Python code to implement project features and functionalities.

92%

Integrating popular Python frameworks like Django, Flask, or FastAPI into projects.

90%

Designing and developing RESTful APIs for data exchange and application integration.

88%

Analyzing data using libraries like Pandas and NumPy to derive insights and trends.

85%

Implementing machine learning models using libraries such as Scikit-learn and TensorFlow.

82%

Managing and interacting with databases like MySQL, PostgreSQL, or MongoDB.

80%

Participating in code reviews to ensure code quality and adherence to standards.

78%

Writing unit tests and performing debugging to identify and fix code defects.

75%

Automating deployment processes using tools like Docker and Kubernetes.

72%

Creating and maintaining technical documentation for code and systems.

70%

Collaborating with cross-functional teams to define, design, and ship new features.

68%

Optimizing code and systems for performance and scalability.

Detailed Work Profile

Write and test Python code for web applications, data analysis, and automation scripts.

Collaborate with front-end developers to integrate Python-based back-end logic.

Design, develop, and deploy scalable and efficient APIs using frameworks like Flask or Django.

Implement data storage solutions using databases such as MySQL, PostgreSQL, or MongoDB.

Perform code reviews and provide constructive feedback to other developers.

Debug and troubleshoot software defects, ensuring high-quality code.

Optimize Python code for performance and scalability, addressing bottlenecks.

Write unit tests and integration tests to ensure code reliability and maintainability.

Participate in agile development processes, including sprint planning and daily stand-ups.

Contribute to technical documentation, including API documentation and user guides.

Stay up-to-date with the latest Python libraries, frameworks, and best practices.

Work with data science teams to implement machine learning models using Python libraries like scikit-learn and TensorFlow.

Automate repetitive tasks using Python scripts to improve efficiency.

Deploy and maintain Python applications on cloud platforms like AWS, Azure, or Google Cloud.

Secure Python applications by implementing security best practices and addressing vulnerabilities.

Interests