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Morgan Willis
Learn how to use Amazon CodeGuru Reviewer to automatically identify issues and vulnerabilities to improve your code quality with our new digital course, Improve your Python Code using Amazon CodeGuru. This course is designed for Python developers who are interested in learning how to use CodeGuru Reviewer to save time and improve their code review process. In this course, you’ll learn how to use CodeGuru Reviewer to detect issues and identify recommendations to improve the quality and security of your code. The course demonstrates how CodeGuru Reviewer finds code anomalies and explains how to understand and apply its automated...
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Learn how to use Amazon CodeGuru Reviewer to automatically identify issues and vulnerabilities to improve your code quality with our new digital course, Improve your Python Code using Amazon CodeGuru. This course is designed for Python developers who are interested in learning how to use CodeGuru Reviewer to save time and improve their code review process. In this course, you’ll learn how to use CodeGuru Reviewer to detect issues and identify recommendations to improve the quality and security of your code. The course demonstrates how CodeGuru Reviewer finds code anomalies and explains how to understand and apply its automated suggestions. Developed at the source, this new digital course empowers you to learn about Amazon CodeGuru from the experts at AWS whenever, wherever you want. Advance your skills and knowledge to build your future in the AWS Cloud. Enroll today! Note: There are two versions of this course: "Improve Your Java Code Using Amazon CodeGuru" for Java developers and "Improve Your Python Code Using Amazon CodeGuru" for Python developers. The courses do for a large part, overlap and in general, we recommend that you take the course that focuses on the SDK you plan to use to develop your AWS Cloud based applications.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a convenient method for automatic issue detection, saving time and effort during code reviews
Taught by experts at AWS, ensuring access to the latest knowledge and industry best practices
Focuses specifically on Python code, catering to the needs of Python developers
Provides clear and actionable recommendations to improve code quality and security
Suitable for Python developers with varying experience levels who want to enhance their code review skills
A digital format enables flexible learning and access from anywhere, at any time

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Improve Your Python Code Using Amazon CodeGuru with these activities:
Python refresher
Ensure that you have a solid understanding of Python before starting this course.
Browse courses on Python
Show steps
  • Review the Python documentation
  • Take a Python refresher course
  • Complete some Python coding challenges
Clean Code: A Handbook of Agile Software Craftsmanship
Expand your knowledge of code quality principles and best practices by reading a classic book on the topic.
View CLEAN CODE on Amazon
Show steps
  • Read the book
  • Take notes on the key concepts
  • Apply the concepts to your own code
Code quality resources
Gather resources and tools that you can use to improve your code quality.
Browse courses on Code Analysis
Show steps
  • Create a list of code quality tools
  • Find articles and blog posts about code quality
  • Bookmark helpful resources
Six other activities
Expand to see all activities and additional details
Show all nine activities
CodeGuru Reviewer tutorials
Become familiar with the features and capabilities of CodeGuru Reviewer by following a series of guided tutorials that demonstrate how to use the tool to improve your code quality.
Browse courses on Code Analysis
Show steps
  • Go to the CodeGuru Reviewer documentation page
  • Select one of the tutorials
  • Follow the instructions in the tutorial
  • Complete the tutorial
Find a mentor
Learn from experienced developers and get personalized guidance.
Browse courses on Code Analysis
Show steps
  • Identify potential mentors
  • Reach out to potential mentors
  • Meet with mentors and discuss your goals
Code challenges
Improve your ability to identify and understand code issues by working through a set of coding challenges designed to test your understanding of concepts taught in the course.
Browse courses on Code Analysis
Show steps
  • Sign up for a CodeGuru Reviewer account
  • Select a challenge
  • Write code to solve the challenge
  • Run the code through CodeGuru Reviewer
  • Review the results and identify the code issues
Meetup groups
Connect with other developers and discuss best practices for code quality.
Browse courses on Code Analysis
Show steps
  • Join local meetup groups
  • Attend meetups and workshops
  • Network with other developers
Code sample analysis
Demonstrate your understanding of CodeGuru Reviewer by analyzing a code sample and identifying the issues and recommendations that the tool provides.
Browse courses on Code Analysis
Show steps
  • Choose a code sample
  • Use CodeGuru Reviewer to analyze the code
  • Create a document that describes the issues and recommendations identified by CodeGuru Reviewer
  • Submit the document for review
Python code refactoring
Apply the concepts you learn in the course by refactoring a Python codebase using the recommendations provided by CodeGuru Reviewer.
Browse courses on Code Analysis
Show steps
  • Identify a Python codebase to refactor
  • Install and configure CodeGuru Reviewer
  • Run CodeGuru Reviewer on the codebase
  • Make changes to the codebase based on the recommendations provided by CodeGuru Reviewer
  • Test the refactored codebase

Career center

Learners who complete Improve Your Python Code Using Amazon CodeGuru will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing and building the infrastructure that is used to store, process, and analyze data, while ensuring that these processes follow best practices. The course, Improve Your Python Code Using Amazon CodeGuru, helps build a foundation for a career as a Data Engineer. By learning how to use CodeGuru Reviewer to detect and resolve code issues, Data Engineers can improve the quality, security, and efficiency of their data pipelines.
Software Engineer
Software Engineers research, design, develop, test, implement, and maintain software systems. Learning how to improve Python code quality using Amazon CodeGuru, as taught in the course of the same title, can provide Software Engineers with the tools and techniques needed to develop more efficient, secure, and reliable software. Additionally, this course reinforces best practices and exposes learners to industry-standard methodologies, which are highly valued by employers.
Software Architect
Software Architects design and oversee the development of software systems, ensuring that they meet the needs of the business and end-users. This course is designed to help developers advance their skills using Python and CodeGuru, which can be very beneficial to Software Architects who are responsible for guiding software development teams. Proficiency in these areas can help Software Architects make informed decisions and drive the development of high-quality software systems.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams, ensuring that software is developed, deployed, and maintained efficiently and securely. By improving their Python code quality using Amazon CodeGuru, as taught in the course, DevOps Engineers can streamline the software development process, reduce errors, and improve the overall efficiency of their teams.
Data Scientist
Data Scientists use scientific methods and processes to extract knowledge and insights from data. They develop algorithms and models to solve business problems and support decision-making. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Data Scientists who use Python for data analysis and modeling. By improving the quality and efficiency of their Python code, Data Scientists can focus more on developing and refining their models and algorithms, leading to more accurate and timely insights.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing environments. They ensure that these environments are reliable, scalable, and secure. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Cloud Engineers who use Python for cloud development and management. By improving their Python code quality, Cloud Engineers can increase the efficiency and reliability of their cloud infrastructure.
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. They ensure that this documentation is clear, accurate, and effective. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Technical Writers who need to understand and explain the technical aspects of Python code. By improving their understanding of Python code quality, Technical Writers can create more accurate and useful documentation.
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software to ensure that it meets the requirements and specifications. They identify and report defects, and work with developers to resolve them. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Quality Assurance Analysts who need to evaluate the quality of Python code. By improving their understanding of Python code quality, Quality Assurance Analysts can more effectively identify and report defects.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They ensure that databases are available, reliable, and secure. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Database Administrators who use Python for database development and management. By improving their Python code quality, Database Administrators can increase the efficiency and reliability of their databases.
Systems Analyst
Systems Analysts analyze and design computer systems, ensuring that they meet the needs of the business. They work with users to gather requirements, and develop and implement solutions. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Systems Analysts who use Python for systems development. By improving their Python code quality, Systems Analysts can develop more efficient and reliable systems.
Web Developer
Web Developers design and develop websites and web applications. They ensure that these websites and applications are user-friendly, functional, and meet the needs of the business. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Web Developers who use Python for web development. By improving their Python code quality, Web Developers can create more efficient and reliable websites and web applications.
Mobile Developer
Mobile Developers design and develop mobile applications for smartphones and tablets. They ensure that these applications are user-friendly, functional, and meet the needs of the business. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Mobile Developers who use Python for mobile development. By improving their Python code quality, Mobile Developers can create more efficient and reliable mobile applications.
Game Developer
Game Developers design and develop video games. They ensure that these games are fun, engaging, and meet the needs of the players. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Game Developers who use Python for game development. By improving their Python code quality, Game Developers can create more efficient and reliable games.
Computer Programmer
Computer Programmers write and maintain computer programs. They ensure that these programs are efficient, reliable, and meet the needs of the business. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Computer Programmers who use Python for programming. By improving their Python code quality, Computer Programmers can create more efficient and reliable programs.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data. The course, Improve Your Python Code Using Amazon CodeGuru, may be useful for Data Analysts who use Python for data analysis. By improving their Python code quality, Data Analysts can create more efficient and reliable data analysis pipelines.

Reading list

We've selected 14 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 Improve Your Python Code Using Amazon CodeGuru.
The book provides a comprehensive overview of Python, including the language's core concepts, data structures, libraries, and tools, and would be a great reference for the course.
The book provides a deep dive into Python's advanced features, such as decorators, generators, iterators, and metaclasses, which can complement the topics covered in the course.
The book collection of practical recipes and solutions to common programming problems in Python. It can serve as a reference for the techniques and idioms covered in the course.
The book teaches how to automate tasks using Python. It can be useful for gaining practical experience in Python programming, which is not the main focus of the course.
The book is an introductory textbook on computer science using Python. It can provide a more comprehensive grounding in the fundamentals of programming, which is assumed by the course.
The book provides an introduction to machine learning and deep learning. Machine learning is not covered by the course, but it can be a useful resource for students who are interested in exploring this area.
The book provides an introduction to data analysis using Python. Data analysis is not covered by the course, but it can be a useful resource for students who are interested in exploring this area.
The book provides a comprehensive overview of the Python standard library. The course does not cover the standard library in depth, so this book can serve as a valuable reference.
The book provides a collection of design patterns for Python. Design patterns are not covered by the course, but they can be a useful resource for students who want to improve their code design.
The book provides an introduction to testing in Python using the pytest framework. Testing is not covered by the course, but it valuable topic for students who want to write robust code.

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