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Anatolii K., Flask Developer

Kamianets-Podilskyi, Ukraine
Last Updated: 25 Jul 2024
Identity Verified
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Programming Skills Verified
CV Verified

- 5 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

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Flask

Flask

Python

Python

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Vladyslav, Flask Developer

Ternopil, Ukraine
Last Updated: 24 Jul 2024

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

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Flask

Flask

Data Analysis

Data Analysis   4 yr.

AWS Machine learning services (ML)

AWS Machine learning services (ML)   4 yr.

Neural Networks

Neural Networks

Data Mining

Data Mining

Business Analysis

Business Analysis

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Nadya, Flask Developer

Ukraine
Last Updated: 24 Jul 2024

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Financial Forecasting Systems - 5 years in Data Science - 3 years in Web Development - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - Knowledge of C# - Knowledge of .net web development technologies - Basic web technologies (JavaScript) - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

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Flask

Flask

Data Analysis

Data Analysis   10 yr.

Python

Python

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OBO-NWAKAJI ARTHUR, Flask Developer

Last Updated: 17 Jul 2024

A versatile Full Stack Software Engineer with five-plus years of hands-on experience in several phases of the Software Development Lifecycle. Notable strengths include proficiency in Python and JavaScript, expertise in backend development with Django, Flask, Node.js, and frontend projects using React.js, Next branding. Equipped with practical knowledge in deploying applications on cloud platforms such as AWS, Digitalocean, and Azure, and leveraging Docker and Kubernetes for containerization. The engineer has a solid foundation in database design and querying, using PostgreSQL, MySQL, Elasticsearch, and Redis as data stores. Adept in Agile methodologies, the candidate presents an impressive track record of implementing robust web services and maintaining REST APIs, with a penchant for mastering new technologies and complex problem-solving.

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Flask

Flask

Python

Python   4 yr.

JavaScript

JavaScript   4 yr.

Django

Django

Node.js

Node.js

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Henry A., Flask Developer

Nigeria
Last Updated: 26 Jul 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- 9+ years experience working with Python; - 3+ years of experience with AI/ML projects; - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire; - Good skills with Vaex, and Dask; - Was a part of a financial debt management project; - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Proven commercial experience in HR and related Talent projects; - Extensive experience with Spark and Hadoop; - Background with TensorFlow, Scikit-learn and PyTorch; - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP); - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping; - Pet web3 projects (solidity, wallet integration); - Upper-intermediate English.

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Flask

Flask

Python

Python   9 yr.

Data Analysis

Data Analysis   6 yr.

SQL

SQL   6 yr.

Microsoft Power BI

Microsoft Power BI   5 yr.

NoSQL

NoSQL   5 yr.

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Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in.Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched Flask Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new Flask developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

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Table of Contents

Pros & cons of Flask

Pros & cons

7 Pros of Flask

  • 1. Lightweight: Flask is a lightweight web framework that doesn’t require much overhead, making it easy to learn and use.
  • 2. Flexible: Flask provides a flexible architecture that allows developers to choose the components they need for their specific project, resulting in a more tailored and efficient application.
  • 3. Scalable: Flask is highly scalable, allowing applications to handle a large number of requests without sacrificing performance.
  • 4. Extensible: Flask offers a wide range of extensions and libraries that can be easily integrated into your project, providing additional functionality and saving development time.
  • 5. Easy to get started: Flask has a simple and intuitive syntax, making it ideal for beginners who want to quickly build web applications.
  • 6. Well-documented: Flask has extensive documentation and a large community of developers, making it easy to find support and resources.
  • 7. Python integration: Flask is built on Python, which is a popular programming language known for its simplicity and readability. This integration allows developers to leverage the power of Python while building web applications.

7 Cons of Flask

  • 1. Lack of built-in features: Flask is a micro-framework, which means it doesn’t come with all the built-in features of larger frameworks like Django. Developers may need to rely on third-party extensions or libraries to add certain functionalities.
  • 2. Steeper learning curve for complex applications: While Flask is easy to get started with, building more complex applications may require a deeper understanding of web development concepts and additional frameworks or libraries.
  • 3. Limited built-in security features: Flask provides basic security features, but developers need to be aware of potential vulnerabilities and take additional measures to ensure the security of their applications.
  • 4. Lack of standardization: Flask allows developers to choose their own development approach and structure, which can lead to inconsistencies across different Flask projects and make it harder for new developers to understand existing codebases.
  • 5. Limited support for large-scale applications: While Flask is scalable, it may not be the best choice for extremely large and complex applications that require advanced features and extensive performance optimizations.
  • 6. Dependency management: Managing dependencies in Flask can be challenging, especially when dealing with a large number of extensions and libraries that may have conflicting requirements.
  • 7. Limited built-in database support: While Flask has support for various databases through extensions, it doesn’t provide a built-in database abstraction layer like some other frameworks, requiring developers to handle database interactions themselves.

 

Soft skills of a Flask Developer

Soft skills

Soft skills are essential for a Flask Developer as they contribute to effective communication, collaboration, and problem-solving in a development team. Here are the soft skills required at different levels of expertise:

Junior

  • Adaptability: Ability to quickly learn new technologies and adapt to changing project requirements.
  • Teamwork: Collaborating effectively with team members to achieve project goals.
  • Communication: Clear and concise communication to ensure everyone understands tasks and requirements.
  • Time Management: Prioritizing tasks and meeting deadlines efficiently.
  • Problem Solving: Analyzing issues and finding solutions through logical thinking.

Middle

  • Leadership: Taking ownership of tasks and guiding junior developers in their work.
  • Critical Thinking: Analyzing complex problems and making informed decisions.
  • Attention to Detail: Paying close attention to code quality and ensuring thorough testing.
  • Conflict Resolution: Resolving conflicts within the team and facilitating a positive work environment.
  • Client Management: Effectively managing client expectations and maintaining strong relationships.
  • Mentoring: Assisting junior developers in their professional growth and skill development.
  • Project Management: Organizing and coordinating project tasks to ensure timely delivery.

Senior

  • Strategic Thinking: Identifying long-term goals and aligning project tasks accordingly.
  • Empathy: Understanding the needs and perspectives of team members and stakeholders.
  • Decision Making: Making informed decisions based on technical expertise and business requirements.
  • Collaboration: Working closely with cross-functional teams to achieve project objectives.
  • Client Relationship Management: Building and maintaining strong relationships with clients.
  • Innovation: Identifying opportunities for improvement and implementing innovative solutions.
  • Conflict Management: Resolving conflicts and promoting a positive team dynamic.
  • Technical Leadership: Guiding the team in adopting best practices and emerging technologies.

Expert/Team Lead

  • Strategic Planning: Developing long-term strategies and roadmaps for development projects.
  • Team Building: Recruiting and building high-performing development teams.
  • Project Estimation: Accurately estimating project timelines and resource requirements.
  • Business Acumen: Understanding the business context and aligning technical decisions accordingly.
  • Decision-Making: Making critical decisions that impact the overall success of the project.
  • Stakeholder Management: Effectively managing relationships with stakeholders at all levels.
  • Knowledge Sharing: Sharing expertise and promoting a culture of continuous learning.
  • Risk Management: Identifying and mitigating potential risks throughout the project lifecycle.
  • Quality Assurance: Ensuring high-quality deliverables through rigorous testing and code review.
  • Process Improvement: Identifying and implementing process improvements for increased efficiency.
  • Technical Vision: Setting the technical direction and vision for the development team.

 

Cases when Flask does not work

Does not work
    1. Case 1: Unsupported Python Version

Flask requires Python 3.5 or higher to run properly. If you are using an older version of Python, Flask may not work as expected. It is important to ensure that you have the correct Python version installed before using Flask.

    1. Case 2: Missing Flask Installation

If Flask is not installed on your system, you will not be able to use it. Make sure you have installed Flask using the appropriate method, such as using pip, before attempting to use it in your project.

    1. Case 3: Incorrect Flask Configuration

Flask relies on certain configuration settings to run correctly. If these settings are not properly configured, Flask may not work as intended. Ensure that you have set the necessary environment variables or configuration files according to Flask’s documentation.

    1. Case 4: Conflicting Dependencies

Flask may encounter issues if there are conflicting dependencies with other packages in your Python environment. This can lead to compatibility problems and cause Flask to fail. It is recommended to use a virtual environment to isolate your Flask project and manage dependencies effectively.

    1. Case 5: Firewall or Network Restrictions

If your application relies on external resources or APIs, Flask may not work if your firewall or network settings are blocking the necessary connections. Check your network configuration and ensure that the required ports are open and accessible.

    1. Case 6: Insufficient System Resources

If your system does not have enough resources such as memory, CPU, or disk space, Flask may not function properly. Insufficient resources can lead to performance issues or even crashes. Make sure your system meets the recommended hardware requirements for running Flask applications.

    1. Case 7: Code Errors or Bugs

Errors or bugs in your Flask application code can cause it to malfunction or fail. It is important to thoroughly test and debug your code to identify any issues. Use proper error handling and logging techniques to track and troubleshoot errors effectively.

    1. Case 8: Server Configuration

If you are deploying your Flask application on a server, ensure that the server is properly configured to support Flask. This includes setting up the appropriate web server software, such as Nginx or Apache, and configuring it to work with Flask.

    1. Case 9: Operating System Compatibility

Although Flask is designed to work on multiple operating systems, there may be certain compatibility issues with specific OS versions or configurations. Check Flask’s documentation and community forums for any known compatibility issues with your operating system.

    1. Case 10: Inadequate Documentation

Sometimes, the issue with Flask not working could be due to inadequate or outdated documentation. Ensure that you are referring to the official Flask documentation and the latest version for accurate information and troubleshooting steps.

 

What are top Flask instruments and tools?

Instruments and tools
  • Flask-SQLAlchemy: Flask-SQLAlchemy is an extension that adds SQLAlchemy support to Flask. It provides a simple and intuitive way to interact with databases. SQLAlchemy is a popular Object-Relational Mapping (ORM) library that allows developers to work with databases using Python objects. Flask-SQLAlchemy integrates seamlessly with Flask, making it a powerful tool for building database-driven web applications. It has been widely used since its release in 2010.
  • Flask-WTF: Flask-WTF is a Flask extension that provides integration with the popular WTForms library. WTForms is a flexible form handling library for Python, and Flask-WTF makes it easy to integrate forms into Flask applications. It provides features like form validation, CSRF protection, file upload handling, and more. Flask-WTF has been actively maintained since 2011 and is widely used in Flask projects.
  • Flask-RESTful: Flask-RESTful is an extension that adds support for building RESTful APIs to Flask. It provides a lightweight and intuitive way to create API endpoints, handle request parsing and serialization, and more. Flask-RESTful has gained popularity since its release in 2012 and is widely used for building scalable and robust APIs with Flask.
  • Flask-Login: Flask-Login is a Flask extension that provides user session management and authentication support. It handles common tasks like user login, logout, and session management, allowing developers to easily add authentication functionality to their Flask applications. Flask-Login has been actively maintained since 2010 and is a popular choice for handling authentication in Flask projects.
  • Flask-Caching: Flask-Caching is an extension that adds caching support to Flask. It provides a simple and flexible way to cache the results of expensive operations, improving the performance of Flask applications. Flask-Caching supports different caching backends like Redis, Memcached, and simple in-memory caching. It has been actively maintained since 2013 and is widely used for caching in Flask applications.
  • Flask-RESTPlus: Flask-RESTPlus is an extension that extends Flask-RESTful with additional features like automatic API documentation generation and input validation. It provides a powerful and convenient way to build and document RESTful APIs with Flask. Flask-RESTPlus has gained popularity since its release in 2016 and is widely used for building API-driven applications.

 

TOP 10 Flask Related Technologies

Related Technologies
  • Python

    Python is the most popular language for Flask software development. It is a versatile and easy-to-learn language that offers a wide range of libraries and frameworks.

  • Flask

    Flask is a lightweight and flexible web framework for Python. It provides the necessary tools and libraries to build web applications quickly and efficiently.

  • HTML/CSS

    HTML and CSS are fundamental technologies for web development. They are used to create the structure and design of web pages.

  • JavaScript

    JavaScript is a programming language that adds interactivity and dynamic elements to web pages. It is often used in conjunction with Flask to create more interactive web applications.

  • SQLAlchemy

    SQLAlchemy is an Object-Relational Mapping (ORM) library for Python. It simplifies database access and management, making it easier to work with databases in Flask applications.

  • Bootstrap

    Bootstrap is a popular CSS framework that provides pre-designed components and styles. It helps in creating responsive and visually appealing web interfaces.

  • Git

    Git is a version control system that allows developers to track changes in their codebase. It is essential for collaboration and managing code repositories.

 

How and where is Flask used?

How and where
Case NameCase Description
Microservices DevelopmentFlask is widely used for developing microservices due to its lightweight and modular nature. It allows developers to build small, independent services that can be easily scaled and deployed. Flask’s simplicity and flexibility make it an ideal choice for microservice architectures.
RESTful API DevelopmentFlask is commonly used for building RESTful APIs. It provides a simple and intuitive way to define routes, handle HTTP requests, and serialize data into JSON or XML formats. Flask’s lightweight design and extensive ecosystem of extensions make it a popular choice for developing API-based applications.
Web Application DevelopmentFlask is a powerful framework for building web applications. It provides a wide range of features and extensions that enable developers to create dynamic and interactive websites. Flask’s template engine allows for easy rendering of HTML templates, and its request handling capabilities make it suitable for handling user input and form submissions.
Data VisualizationFlask can be used for creating data visualization dashboards and interactive plots. It integrates well with popular Python libraries such as Matplotlib, Plotly, and Bokeh, allowing developers to generate visual representations of data and present them in a web-based format. Flask’s ability to handle HTTP requests and serve dynamic content makes it an excellent choice for data visualization projects.
IoT Backend DevelopmentFlask is often utilized in the development of backend systems for Internet of Things (IoT) applications. Its lightweight nature and support for asynchronous programming make it suitable for handling real-time data streams and managing device connectivity. Flask’s RESTful capabilities enable seamless integration with IoT devices and facilitate communication between the devices and the backend infrastructure.

 

TOP 12 Facts about Flask

Facts about
  • Flask is a micro web framework written in Python.
  • It was developed by Armin Ronacher and first released in 2010.
  • Flask is known for its simplicity, minimalism, and ease of use.
  • It follows the Model-View-Controller (MVC) architectural pattern.
  • Flask has a built-in development server and a debugger for easy testing and debugging.
  • It supports URL routing, HTTP methods handling, and template rendering.
  • Flask can be easily extended using various extensions available in its ecosystem.
  • It has a small and lightweight core with minimal dependencies.
  • Flask is widely used for building web applications, RESTful APIs, and microservices.
  • It has a large and active community that provides support, documentation, and numerous tutorials.
  • Flask is compatible with multiple web servers, including uWSGI, Gunicorn, and Apache.
  • It is used by many popular websites and companies, such as LinkedIn, Pinterest, and Uber.

 

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior Developer0-2 yearsAssisting in the development of software applications under the guidance of senior developers. Writing and debugging code, performing code reviews, and learning best practices. Collaborating with the team to meet project deadlines.45,000 – 70,000
Middle Developer2-5 yearsTaking ownership of assigned tasks and modules. Participating in the design and development of software applications. Collaborating with team members to ensure code quality and meeting project milestones. Mentoring junior developers and providing technical guidance.70,000 – 100,000
Senior Developer5-10 yearsLeading the development of complex software applications. Designing system architecture and making technical decisions. Mentoring and providing guidance to junior and middle developers. Collaborating with cross-functional teams and stakeholders to deliver high-quality software products.100,000 – 150,000
Expert/Team Lead Developer10+ yearsLeading a team of developers and overseeing multiple projects. Setting technical direction and making strategic decisions. Ensuring adherence to coding standards and best practices. Collaborating with stakeholders to define project scope and requirements. Providing technical leadership and mentoring to the team.150,000 – 200,000+

 

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