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App Dev

Developing a Backend Service - Python

Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Self paced and in-browser, the learning content is accessible, easy to follow, and widely available
Taught by Google Cloud Training, students can expect high quality and transferable knowledge
Hands-on labs provide opportunities to apply knowledge and develop practical skills
By developing a backend service, learners build strong programming skills
Teaches Google Cloud Platform, which is highly relevant to technology industry
Prior programming knowledge is helpful but not required

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Activities

Coming soon We're preparing activities for App Dev: Developing a Backend Service - Python. These are activities you can do either before, during, or after a course.

Career center

Learners who complete App Dev: Developing a Backend Service - Python will develop knowledge and skills that may be useful to these careers:
Backend Developer
Backend Developers are responsible for the functionality and logic of the parts of websites and applications that users don't see. This course teaches important concepts like developing and deploying backend services, and can help you build a foundation for success in this in-demand field.
Web Developer
Web Developers plan, design, create, and maintain websites. This course teaches important concepts like developing and deploying backend services, which is an essential skill for Web Developers to have.
Software Engineer
Software Engineers apply engineering principles to the design, development, deployment, and maintenance of software systems. This course teaches important concepts like developing and deploying backend services, which is an essential skill for Software Engineers to have.
Cloud Engineer
Cloud Engineers design, build, and manage cloud-based infrastructure and applications. This course teaches important concepts like developing and deploying backend services in the cloud.
Data Scientist
Data Scientists use scientific methods and processes to extract knowledge and insights from data in various forms. This course may be useful for Data Scientists who want to learn more about developing and deploying backend services to support their data analysis and modeling efforts.
Solutions Architect
Solutions Architects design and implement technology solutions for organizations. This course may be useful for Solutions Architects who want to learn more about developing and deploying backend services to support their solution designs.
Data Analyst
Data Analysts analyze data to identify trends, patterns, and anomalies. This course may be useful for Data Analysts who want to learn more about developing and deploying backend services to support their data analysis and visualization tasks.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful for Machine Learning Engineers who want to learn more about developing and deploying backend services to support their model training and deployment pipelines.
Systems Administrator
Systems Administrators manage and maintain computer systems and networks. This course may be useful for Systems Administrators who want to learn more about developing and deploying backend services to support their system administration tasks.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course may be useful for DevOps Engineers who want to learn more about developing and deploying backend services to support their continuous integration and delivery pipelines.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful for Database Administrators who want to learn more about developing and deploying backend services to support their database management tasks.
Security Engineer
Security Engineers design, implement, and maintain security measures to protect computer systems and networks. This course may be useful for Security Engineers who want to learn more about developing and deploying backend services to support their security measures.
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software to ensure it meets quality standards. This course may be useful for Quality Assurance Analysts who want to learn more about developing and deploying backend services to support their testing and evaluation processes.
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for Project Managers who want to learn more about developing and deploying backend services to support their project management activities.
Business Analyst
Business Analysts analyze business needs and develop solutions to meet those needs. This course may be useful for Business Analysts who want to learn more about developing and deploying backend services to support their business analysis and solution design activities.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in App Dev: Developing a Backend Service - Python.
Provides a comprehensive overview of Flask, a popular Python web framework. It covers topics such as routing, templates, and database integration, which are essential for developing a backend service.
Focuses on building RESTful APIs with Flask. It provides practical examples and covers advanced topics such as authentication and authorization.
Provides a comprehensive introduction to data analysis with Python. It covers topics such as data cleaning, data manipulation, and data visualization, which are essential for any data-driven application.
Provides a collection of Python recipes that cover a wide range of topics, including data structures, algorithms, and web development.
Provides a comprehensive overview of the Python standard library. It covers topics such as file handling, networking, and XML processing.
Provides a gentle introduction to Python. It covers topics such as basic data types, control flow, and object-oriented programming.
Provides a comprehensive introduction to Python. It covers topics such as data types, control flow, and object-oriented programming.
Provides a beginner-friendly introduction to Python programming. It covers topics such as data types, control flow, and object-oriented programming.
Provides a concise reference to the Python language. It covers topics such as syntax, built-in functions, and standard library modules.
Provides a comprehensive introduction to data science with Python. It covers topics such as data cleaning, data analysis, and machine learning.

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