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Douglas Starnes

Python is so easy to learn and use, that it also might be easy to re-invent the wheel for common tasks. Resist the temptation as the Python Standard Library might have you covered!

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Python is so easy to learn and use, that it also might be easy to re-invent the wheel for common tasks. Resist the temptation as the Python Standard Library might have you covered!

The Python Standard Library is a set of modules, that are not part of the Python language but are distributed with it. In this course, Getting Started with the Python 3 Standard Library, you'll be provided solutions for common tasks in application development. First, you'll look at powerful extensions to the Python language collections types as well as how to read and store data in different text formats. Next, you'll move on to networking to access web services, email, and more. Finally, you'll learn text processing using regular expressions, random data, and utilities to write command line applications. By the end of this course, you'll have a better understanding of the Python Standard Library.

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What's inside

Syllabus

Course Overview
Extended Collection Data Types
Data File Formats
Handling Internet Data
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Regular Expressions
Utility Modules

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Exposes students to powerful extensions for Python language collections types
Taught by Douglas Starnes who is recognized for their work in Python
Covers core Python concepts for application development
Introduces students to regular expressions for text processing
Offers instruction on handling internet data for use in applications
Assumes students have a basic understanding of Python

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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 Getting Started with the Python 3 Standard Library with these activities:
Complete the Python Tutorial
Following a structured tutorial designed to teach you Python essentials will ease your transition into this course and give you a solid foundation.
Browse courses on Python Basics
Show steps
  • Create a Python development environment
  • Work through the official Python Tutorial
  • Complete exercises and examples given in the tutorial
Review Python basics and data structures
Strengthen foundational knowledge for better understanding of Python Standard Library
Browse courses on Python Basics
Show steps
  • Review basic Python syntax, variables, and operators
  • Revisit data structures such as lists, tuples, and dictionaries
  • Practice using these fundamentals in simple coding exercises
Gather and organize Python Standard Library resources
Build a personalized knowledge base to support learning
Show steps
  • Identify relevant resources, such as documentation, tutorials, and code examples
  • Download and organize the resources in a logical manner
  • Create a central repository for easy access
Six other activities
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Show all nine activities
Summarize Python Standard Library sections
Practice converting information to reinforce knowledge of Python Standard Library concepts
Show steps
  • Read the corresponding course book material
  • Identify key concepts to include
  • Create a summary using your own words
  • Review your summary against the book material
Solve Python Standard Library coding challenges
Reinforce Python Standard Library concepts through hands-on coding exercises
Browse courses on Python
Show steps
  • Find online coding challenges or exercises related to the Python Standard Library
  • Attempt to solve the challenges on your own
  • Compare your solutions to others or seek assistance
Build a Python project utilizing the Standard Library
Apply Python Standard Library concepts in a practical application
Browse courses on Standard Library
Show steps
  • Identify a project idea that leverages Python Standard Library functionalities
  • Design and plan your project structure and architecture
  • Develop and implement your project
  • Test and debug your project
Create a documentation guide on Python Standard Library
Enhance understanding of Python Standard Library by creating a comprehensive resource
Show steps
  • Research and gather information on Python Standard Library
  • Organize and structure the documentation in a logical manner
  • Write clear and concise content, including code examples
  • Review and revise the documentation for accuracy and usability
Participate in Python Standard Library-based coding competitions
Challenge your Python Standard Library skills in a competitive environment
Browse courses on Python
Show steps
  • Identify coding competitions that focus on Python Standard Library concepts
  • Form a team or participate individually
  • Study and practice the relevant Standard Library functionalities
  • Participate in the competition and showcase your skills
Build a Simple Python Project
Working on a hands-on project will allow you to apply your Python skills and deepen your understanding of its practical applications.
Show steps
  • Identify a simple project idea that aligns with your interests
  • Plan and design the project
  • Implement the project using Python
  • Test and debug the project
  • Share your project with others

Career center

Learners who complete Getting Started with the Python 3 Standard Library will develop knowledge and skills that may be useful to these careers:
Data Analyst
Developing strong proficiency with the Python standard library is a valuable skillset for professionals in all data-related fields. Data Analysts, in particular, will find that the skills they develop in this course will provide a solid foundation for their work. The data analysis tools and techniques taught in the course will help these professionals to automate common tasks, perform data analysis, and generate insights from complex data.
Data Engineer
Data Engineers will need to be proficient in working with data in different formats, understanding how to process and store data, and to carry out analysis on large datasets. This course provides a balanced overview of how to use various Python modules to perform these tasks, making it a great starting point for those who want to work in this field.
Data Scientist
Data Scientists who are proficient in Python will find this course to be very helpful in advancing their careers. The course provides a solid foundation for data collection, storage, analysis, and visualization.
Full-Stack Developer
The skills taught in this course will be useful for any developer working on web development projects. The course will help developers write code that is both efficient and portable across different platforms, making them more effective in their work.
Backend Developer
Backend Developers who want to improve their Python skills will find that this course provides a solid foundation for working with the Python standard library. The course will help developers learn how to write code that is both efficient and portable across different platforms.
Front-End Developer
Front End Developers who are looking to expand their skillset will find that this course provides a solid foundation for working with the Python standard library. The course will help developers learn how to handle network requests and responses, making them more valuable to potential employers.
Database Administrator
Database Administrators who want to learn more about using Python will find this course to be a helpful starting point.
Web Developer
Web Developers who want to learn more about using Python will find this course to be a helpful starting point.
Data Architect
Data Architects who want to learn more about using Python will find this course to be a helpful starting point.
Business Analyst
Business Analysts who want to learn more about using Python will find this course to be a helpful starting point.
DevOps Engineer
DevOps Engineers who want to learn more about using Python will find this course to be a helpful starting point.
Software Developer
Software Developers who want to learn more about using Python will find this course to be a helpful starting point.
Systems Analyst
Systems Analysts who want to learn more about using Python will find this course to be a helpful starting point.
Software Engineer
Software Engineers who want to learn more about using Python will find this course to be a helpful starting point.
Machine Learning Engineer
Machine Learning Engineers who want to learn more about using Python will find this course to be a helpful starting point.

Reading list

We've selected 15 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 Getting Started with the Python 3 Standard Library.
This pragmatic, hands-on approach, that focuses on examples of how different parts of the standard library can be used to solve typical problems. It is intended to be a reference guide for developers who want to know more about the Python standard library.
This comprehensive overview of Python. It is useful for someone who has knowledge of Python but wants to learn more about its inner workings.
Comprehensive reference guide to the Python standard library. It is useful for someone who wants to learn more about the different modules and functions that are available in the standard library.
Concise reference guide to the Python language. It is useful for someone who wants to learn more about the syntax and semantics of the Python language.
Is an introduction to computer science using Python. It is useful for someone who wants to learn the basics of computer science and how to use Python to solve problems.
Is an introduction to computer science using Python. It is useful for someone who wants to learn the basics of computer science and how to use Python to solve problems.
Collection of recipes for automating common tasks. It is useful for someone who wants to learn more about how to use Python to automate tasks.
Is an introduction to data analysis using Python. It is useful for someone who wants to learn more about how to use Python to analyze data.
Is an introduction to machine learning using Python. It is useful for someone who wants to learn more about how to use Python to build machine learning models.

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