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Python Development:

• Backend development,
• Data manipulation and analysis,
• Multithreading and multiprocessing,
• Unit testing,
• Asynchronous programming,
• Web scraping,
• Web automation,

Tools:

• Frameworks: Django, FastAPI,
• Libraries: NumPy, Pandas, BeautifulSoup, Scrapy, Requests,
• Version Control: Git, GitHub,
• Virtual Environments: virtualenv, conda, poetry
• Testing: pytest,
• Documentation: MkDocs,
• IDEs: VS Code, Jupyter Notebook,
• Code Quality: ruff,
• Deployment: Docker, AWS Lambda

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Machine Learning:

• Data preprocessing,
• Feature engineering,
• Model selection and evaluation,
• Time series analysis,
• Reinforcement learning,
• Model deployment and serving,

Tools:

• Libraries: TensorFlow, Keras, Scikit-learn,
• Deployment: TensorFlow Serving,
• Visualization: Matplotlib, Seaborn, Plotly,

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Backend Development:

• RESTful API design and implementation,
• Microservices architecture,
• Authentication and authorization,
• Caching strategies,
• WebSockets,
• GraphQL,

Tools:

• Frameworks: Django, FastAPI,
• Databases: PostgreSQL, MongoDB, Redis,
• Message Brokers: Kafka,
• Search Engines: Elasticsearch, typesense,
• Load Balancers: Nginx,
• Monitoring: Grafana

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DevOps:

• Continuous Integration (CI) and Continuous Deployment (CD),
• Monitoring and alerting,
• Scalability and reliability,

Tools:

• CI/CD: Jenkins, GitHub Actions, CircleCI,
• Containerization: Docker,
• Cloud Platforms: AWS, Google Cloud Platform,
• Monitoring: Grafana,

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Web Scraping:

• Understanding of HTML/CSS structure,
• Web crawling and spidering,
• Handling JavaScript-rendered content,
• Parsing and extracting data from web pages,
• Handling dynamic content,
• Dealing with anti-scraping mechanisms,

Tools:

• Libraries: BeautifulSoup, Scrapy, Requests-HTML,
• Browser Automation: Playwright, Selenium,
• Data Extraction: XPath, CSS selectors,
• Proxy Rotation: Bright Data, IPRoyal,
• CAPTCHA Solving: 2Captcha,

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Connect

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