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Migrating Python 2 to Python 3

Python 3 has been out for over a decade and is widely used around the world. In this course, you will learn how to migrate from Python 2 to Python 3 and how to benefit from Python 3's improved features and performance.

At the core of a successful migration from Python 2 to 3 is a thorough knowledge of the differences, the strategies, and common pitfalls. In Migrating Python 2 to 3, you will learn how to assess your application and phase a migration without losing functionality or performance. First, you will learn what changed in Python 3 and how to update Python 2 code to be compatible. Next, you will explore strategies for migrating an application and how to phase the upgrade. Finally, you will discover how to leverage Python 3 features to accelerate the performance of your application. When you are finished with this course, you will have a foundational knowledge of Python 3 that will help you as you move forward to migrate any application from Python 2 to 3.

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What's inside

Syllabus

Course Overview

Why Move to Python 3?

Porting Strategies

Changes to Core Types

Standard Library Changes

Moving Away from Python 2

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches how to migrate code from Python 2 to Python 3, which is highly relevant to those maintaining software written in Python 2

Taught by Anthony Shaw, who is recognized for their work in software development and Python

Explores changes in Python 3 and how to update Python 2 code, which is highly relevant to those maintaining legacy code

Develops knowledge of Python 3 that will help learners as they move forward to migrate any application from Python 2 to 3, which can be valuable for career advancement in software development

Examines the strategies for migrating an application, which can be highly relevant to those leading teams in a migration process

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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 Migrating Python 2 to Python 3 with these activities:

Read 'Effective Python' by Brett Slatkin

Show steps

Expand your knowledge of Python best practices and coding conventions by reading 'Effective Python,' which provides valuable insights and guidance for writing high-quality Python code.

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Review the principles and guidelines outlined in the book
Apply the techniques and recommendations in your own Python code

Show all one activities

Career center

Learners who complete Migrating Python 2 to Python 3 will develop knowledge and skills that may be useful to these careers:

Data Engineer

Python is the most popular programming language for data engineering, and it is used by major companies including Google, Facebook, and Amazon. Data Engineers who know Python 3 will be able to build and maintain data pipelines that are fast, efficient, and reliable.

See salaries and explore the career path for Data Engineer

Software Engineer

Python 3 is the most popular programming language for web development, and with its focus on speed, efficiency, and portability, Python is also widely used in data science, machine learning, artificial intelligence, and many more fields. Software Engineers who can develop Python 3 applications are in very high demand because of the wide-ranging applications of Python. Migrating Python 2 to Python 3 familiarizes learners with the key differences between Python 2 and Python 3, which can help if a company has legacy Python 2 systems and needs a Software Engineer with the expertise to maintain them.

See salaries and explore the career path for Software Engineer

Web Developer

Python 3 is the most popular programming language for web development, and it is used by many major companies, including Google, Facebook, and Amazon. Web Developers who know Python 3 will be able to develop web applications that are fast, efficient, and secure.

See salaries and explore the career path for Web Developer

Computer Programmer

Python is a popular programming language for computer programming, and it is used by many major companies, including Google, Facebook, and Amazon. Computer Programmers who know Python 3 will be able to develop software applications that are fast, efficient, and reliable.

See salaries and explore the career path for Computer Programmer

Machine Learning Engineer

Python is the most popular programming language for machine learning. Machine Learning Engineers who know Python 3 will be able to develop machine learning models that are fast, efficient, and portable. Python 3 also has excellent support for cloud computing, which is essential for training and deploying machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Python is a popular programming language for data analysis, and it is used by many major companies, including Google, Facebook, and Amazon. Business Analysts who know Python 3 will be able to analyze data more efficiently and make better decisions.

See salaries and explore the career path for Business Analyst

Data Analyst

Python is a popular programming language for data analysis, and it is used by many major companies, including Google, Facebook, and Amazon. Data Analysts who know Python 3 will be able to analyze data more efficiently and make better decisions.

See salaries and explore the career path for Data Analyst

Software Architect

Python is a popular programming language for software architecture, and it is used by many major companies, including Google, Facebook, and Amazon. Software Architects who know Python 3 will be able to design and develop software systems that are scalable, efficient, and reliable.

See salaries and explore the career path for Software Architect

Data Scientist

Python is the most popular programming language for data science and machine learning, and has a wide range of data science libraries available to use. Data Scientists who are well-versed in Python 3 will have access to the latest innovations in the field and be able to use the newest data science libraries, which can be leveraged to increase productivity and create actionable insights from data.

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DevOps Engineer

Python is a popular programming language for DevOps, and it is used by many major companies, including Google, Facebook, and Amazon. DevOps Engineers who know Python 3 will be able to automate tasks and manage infrastructure more efficiently.

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Cloud Engineer

Python is a popular programming language for cloud computing, and it is used by major companies including Google, Facebook, and Amazon. Cloud Engineers who know Python 3 will be able to develop and manage cloud-based applications and infrastructure more efficiently.

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Systems Analyst

Python is a popular programming language for systems analysis, and it is used by many major companies, including Google, Facebook, and Amazon. Systems Analysts who know Python 3 will be able to analyze systems more efficiently and make better recommendations for improvements.

See salaries and explore the career path for Systems Analyst

Product Manager

Python is a popular programming language for data analysis, and it is used by many major companies, including Google, Facebook, and Amazon. Product Managers who know Python 3 will be able to analyze data more efficiently and make better decisions about product development.

See salaries and explore the career path for Product Manager

Technical Writer

Python is a popular programming language for technical writing, and it is used by many major companies, including Google, Facebook, and Amazon. Technical Writers who know Python 3 will be able to create technical documentation that is clear, concise, and accurate.

See salaries and explore the career path for Technical Writer

Project Manager

Python is a popular programming language for project management, and it is used by many major companies, including Google, Facebook, and Amazon. This course may be useful for Project Managers who want to learn how to use Python 3 to automate tasks and manage projects more efficiently.

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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 Migrating Python 2 to Python 3.

Python Language Reference Release 3.11.3