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Large Python Codebases with Libraries

Improve your coding skills and learn how to write, structure, and extend code for large systems with Udacity's Large System Codebases Training Course. Join now!

Prerequisite details

Improve your coding skills and learn how to write, structure, and extend code for large systems with Udacity's Large System Codebases Training Course. Join now!

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

Basic Python

You will also need to be able to communicate fluently and professionally in written and spoken English.

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What's inside

Syllabus

In this lesson, we'll introduce your instructor, give a brief overview of the course, and look ahead to what you'll be building for your final project.

We'll explore the Python language and the core programming design patterns you'll need to write clear and concise code—including object-oriented programming, documentation, typing, and tests.

Large codebases are built by combining many smaller building blocks of code known as modules. We'll build on our knowledge of object-oriented programming to create scalable Python modules.

The Python community has thousands of publically available, open-source libraries we can use as modules in our software. We'll learn how we can install and use these resources!

We'll learn how to effectively interface with our software through the command line as well as use other powerful command-line tools in our Python code

Learn how to use Python to consume web content and serve complex applications!

For this project, you'll build a "meme generator". This will demonstrate your newly learned skills by creating a dynamic, data-rich application that generates images with quotes.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers fundamental Python concepts and design patterns, which are essential for writing clear and maintainable code

Builds on foundational concepts to teach scalable Python modules

Introduces the use of open-source libraries to enhance code functionality and efficiency

Provides hands-on experience in command-line interface and Python command-line tools

Covers web content consumption and serving complex applications, essential skills in modern software development

Provides a practical hands-on project to apply and demonstrate learned skills

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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 Large Python Codebases with Libraries with these activities:

Review basic programming concepts

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Strengthen your understanding of fundamental programming principles before starting the course to ensure a smooth learning experience.

Browse courses on Programming Concepts

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Review textbooks or online resources on basic programming concepts.
Practice writing simple code snippets to reinforce your understanding.

Read 'Automate the Boring Stuff with Python'

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Gain a solid foundation in Python programming by reading this comprehensive book that covers essential concepts and practical applications.

View Automate the Boring Stuff with Python, 3rd... on Amazon

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Purchase or borrow the book.
Read the book from cover to cover.
Complete the exercises and projects in the book.

Practice coding exercises

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Reinforce your understanding of Python coding concepts and patterns by practicing exercises similar to those you'll encounter in the course.

Browse courses on Python Coding

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Find coding exercises online or in textbooks.
Solve the exercises on your own.
Review and debug your solutions.
Repeat the process until you feel confident in your coding skills.

Three other activities

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Join a Python coding study group

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Engage with other learners, share your knowledge, and gain insights by participating in a Python coding study group.

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Find or create a Python coding study group.
Attend regular study sessions.
Participate in discussions and code reviews.
Collaborate on projects.

Write a blog post about Python coding tips

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Enhance your understanding and retention of Python coding concepts by explaining them to others in a blog post.

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Choose a specific Python coding topic.
Research and gather information.
Write a draft of your blog post.
Revise and edit your post for clarity and accuracy.
Publish your blog post on a platform of your choice.

Build a personal website

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Apply your Python skills to create a dynamic and interactive personal website that showcases your coding abilities and projects.

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Plan and design your website.
Set up a web hosting account.
Write the HTML, CSS, and Python code for your website.
Deploy your website to the web.
Promote your website on social media or other platforms.

Career center

Learners who complete Large Python Codebases with Libraries will develop knowledge and skills that may be useful to these careers:

Software Developer

Software Developers specialize in coding, developing, maintaining, and testing the software and applications critical to any modern business. They help design and implement software solutions, debug and fix existing programs, and manage data. This course can be helpful for Software Developers looking to break into a new field or to advance their current careers.

See salaries and explore the career path for Software Developer

Data Scientist

Data Scientists collect, analyze, interpret, and visualize data to extract meaningful insights to help organizations make informed decisions. They apply their knowledge of math, statistics, and computer science to solve complex data-related challenges. This course may be useful to Data Scientists looking to expand their skill sets into data analysis, visualization, and machine learning.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and interpret data to help businesses make strategic decisions. They use their analytical skills to identify trends, patterns, and anomalies in data, which they then communicate to stakeholders. This course may be helpful to Data Analysts looking to develop their programming skills, particularly in Python.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, deploying, and maintaining machine learning models. They work closely with Data Scientists and Software Engineers to build and implement AI solutions. This course may be useful to Machine Learning Engineers looking to gain a deeper understanding of Python programming and to learn how to manage large codebases.

See salaries and explore the career path for Machine Learning Engineer

Software Architect

Software Architects are responsible for designing and maintaining the overall architecture of a software system. They work with Software Developers and Project Managers to ensure that the software is scalable, efficient, and secure. This course may be helpful to Software Architects looking to gain a deeper understanding of Python programming and to learn how to manage large codebases.

See salaries and explore the career path for Software Architect

Full-Stack Developer

Full Stack Developers are responsible for both the front-end and back-end of web applications. They work with designers, UX experts, and Software Developers to create visually appealing and user-friendly web experiences. This course may be helpful to Full Stack Developers looking to expand their skill sets into Python programming and to learn how to manage large codebases.

See salaries and explore the career path for Full-Stack Developer

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites and web applications. They work with designers and UX experts to create visually appealing and user-friendly web experiences. This course may be helpful to Web Developers looking to expand their skill sets into Python programming and to learn how to manage large codebases.

See salaries and explore the career path for Web Developer

Systems Engineer

Systems Engineers are responsible for designing, building, and maintaining computer systems. They work with Software Engineers, Hardware Engineers, and Network Engineers to ensure that systems are reliable, efficient, and secure. This course may be helpful to Systems Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for Systems Engineer

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with Data Scientists and Data Analysts to ensure that data is clean, consistent, and accessible. This course may be helpful to Data Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for Data Engineer

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to automate and streamline the software development process to improve efficiency and productivity. This course may be helpful to DevOps Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers are responsible for designing, building, and maintaining cloud-based infrastructure. They work with Cloud Architects and Cloud Developers to ensure that cloud solutions are scalable, efficient, and secure. This course may be helpful to Cloud Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for Cloud Engineer

Security Engineer

Security Engineers are responsible for designing, implementing, and maintaining security systems. They work with Software Engineers, Hardware Engineers, and Network Engineers to ensure that systems are secure from cyberattacks. This course may be helpful to Security Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for Security Engineer

Network Engineer

Network Engineers are responsible for designing, building, and maintaining computer networks. They work with Systems Engineers, Software Engineers, and Hardware Engineers to ensure that networks are reliable, efficient, and secure. This course may be helpful to Network Engineers looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for Network Engineer

IT Architect

IT Architects are responsible for designing and maintaining the overall architecture of an IT system. They work with IT Managers, Software Engineers, and Hardware Engineers to ensure that systems are scalable, efficient, and secure. This course may be helpful to IT Architects looking to develop their Python programming skills and to learn how to manage large codebases.

See salaries and explore the career path for IT Architect

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders, team members, and project sponsors to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be helpful to Project Managers looking to develop their Python programming skills and to learn how to manage large projects.

See salaries and explore the career path for Project Manager

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 Large Python Codebases with Libraries.

Mastering Python Networking

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Offers a comprehensive and in-depth guide to Python, covering advanced concepts, design patterns, and best practices for professional software development.

Large Python Codebases with Libraries

Prerequisite details

Prerequisite details

Two deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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