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Hire Dedicated Python Developer

$20/hr Starting at $2K

  • Proficiency in Python 3: In-depth understanding of Python syntax, semantics, and idioms.
  • Data Structures and Algorithms: Knowledge of essential data structures (lists, dictionaries, sets, tuples) and algorithms (searching, sorting, recursion).
  • Object-Oriented Programming (OOP): Strong grasp of classes, inheritance, polymorphism, and encapsulation.
  • Error Handling: Competence in using try/except blocks, custom exceptions, and debugging techniques.

Web Development

  • Frameworks: Expertise in Django and/or Flask for building web applications.
  • RESTful APIs: Experience in designing, implementing, and consuming RESTful web services.
  • Front-End Integration: Basic knowledge of HTML, CSS, and JavaScript for integrating back-end services with front-end frameworks.
  • Databases: Proficiency in working with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).

Data Science and Machine Learning

  • Libraries: Familiarity with NumPy, Pandas, Matplotlib, Seaborn for data manipulation and visualization.
  • Machine Learning: Experience with Scikit-Learn, TensorFlow, or PyTorch for building and deploying machine learning models.
  • Data Analysis: Skills in data cleaning, transformation, and exploratory data analysis (EDA).

Automation and Scripting

  • Scripting: Writing scripts for automating routine tasks and data processing.
  • Web Scraping: Using libraries like BeautifulSoup, Scrapy, or Selenium for extracting data from websites.
  • Task Automation: Familiarity with tools like Celery or Airflow for automating workflows and scheduled tasks.

DevOps and Deployment

  • Version Control: Proficient in using Git and platforms like GitHub or GitLab for version control.
  • CI/CD: Experience with continuous integration and deployment tools (Jenkins, Travis CI, GitHub Actions).
  • Containerization: Knowledge of Docker for containerizing applications and Kubernetes for orchestration.
  • Cloud Services: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying applications and services.

About

$20/hr Ongoing

Download Resume

  • Proficiency in Python 3: In-depth understanding of Python syntax, semantics, and idioms.
  • Data Structures and Algorithms: Knowledge of essential data structures (lists, dictionaries, sets, tuples) and algorithms (searching, sorting, recursion).
  • Object-Oriented Programming (OOP): Strong grasp of classes, inheritance, polymorphism, and encapsulation.
  • Error Handling: Competence in using try/except blocks, custom exceptions, and debugging techniques.

Web Development

  • Frameworks: Expertise in Django and/or Flask for building web applications.
  • RESTful APIs: Experience in designing, implementing, and consuming RESTful web services.
  • Front-End Integration: Basic knowledge of HTML, CSS, and JavaScript for integrating back-end services with front-end frameworks.
  • Databases: Proficiency in working with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).

Data Science and Machine Learning

  • Libraries: Familiarity with NumPy, Pandas, Matplotlib, Seaborn for data manipulation and visualization.
  • Machine Learning: Experience with Scikit-Learn, TensorFlow, or PyTorch for building and deploying machine learning models.
  • Data Analysis: Skills in data cleaning, transformation, and exploratory data analysis (EDA).

Automation and Scripting

  • Scripting: Writing scripts for automating routine tasks and data processing.
  • Web Scraping: Using libraries like BeautifulSoup, Scrapy, or Selenium for extracting data from websites.
  • Task Automation: Familiarity with tools like Celery or Airflow for automating workflows and scheduled tasks.

DevOps and Deployment

  • Version Control: Proficient in using Git and platforms like GitHub or GitLab for version control.
  • CI/CD: Experience with continuous integration and deployment tools (Jenkins, Travis CI, GitHub Actions).
  • Containerization: Knowledge of Docker for containerizing applications and Kubernetes for orchestration.
  • Cloud Services: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying applications and services.

Skills & Expertise

APIArtificial IntelligenceAutomation EngineeringChatbotsDjangoJavaScriptOpen SourceProgrammingPythonSoftware DevelopmentWeb Development

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