Sorry, this page is no longer available
Sorry, this page is no longer available
We may earn an affiliate commission when you visit our partners.
Course image
Seth Frey

If you do not yet code and want to learn, this course is a great place to start. It will teach you how to use existing Python code to interact with data on the Internet in fun new ways. Instruction focuses on the conceptual basics of the programming language as it relates to working with online data. You'll be introduced to Python arithmetic operators, variables, values, and modules. At a higher level, you'll experience what an API is and how it works by playing with cat memes.

Read more

If you do not yet code and want to learn, this course is a great place to start. It will teach you how to use existing Python code to interact with data on the Internet in fun new ways. Instruction focuses on the conceptual basics of the programming language as it relates to working with online data. You'll be introduced to Python arithmetic operators, variables, values, and modules. At a higher level, you'll experience what an API is and how it works by playing with cat memes.

Separate from the technical part of coding, there's the psychological part. Topic lectures will address the human side of code, and make you feel more prepared to see yourself as someone who uses code. You won’t code from scratch yourself, but will use prepared code to accomplish tasks and see how it works. Additional code demonstrations are available in the honors module of the course to provide broad exposure to Python interactions with internet data.

Enroll now

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Pictures of Kittens in Python
In this module, you'll learn why it's worth learning to code. One reason is that you can do interesting stuff, like detect kittens in photographs. We'll learn what an API is by dealing in the basic currency of the social Internet: cat memes. Let's get started!
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides accessible entry point for non-programmers interested in Python's use in web data interaction
Adopts a codling-through-demonstration approach, making it beginner-friendly and less intimidating to non-coders
Course materials are delivered primarily through interactive code notebooks, making it practical and engaging
Focuses on the human aspect of coding, addressing psychological barriers and fostering a sense of empowerment
May not provide sufficient depth and hands-on practice for those seeking to develop strong coding skills

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Gentle python introduction for beginners

According to students, this course is an excellent starting point for absolute beginners who are new to coding and may feel intimidated. Learners found the content clear, concise, and approachable, often highlighting the engaging and fun examples like cat memes and Google Translate for explaining concepts like APIs. The interactive code notebooks are frequently praised for providing hands-on experience without complex setup. A unique and highly valued aspect is the focus on the "psychological part" of learning to code, which helps build confidence. While it provides a solid conceptual foundation, some learners note it primarily involves using prepared code rather than coding from scratch, making it less suitable for those seeking in-depth programming practice or complex applications.
Addresses the human side of coding, reducing intimidation.
"The 'psychological part' lectures were a great touch... made me feel less intimidated by coding."
"Helped me overcome my fear of coding... The explanations are very simple and the examples are relatable."
"The 'psychological' aspects were a unique and very welcome addition. Made me feel confident."
Code notebooks provide hands-on practice without setup hassle.
"Enjoyed this intro... the notebooks were helpful for getting comfortable with Python basics."
"Loved the interactive notebooks; they helped me understand how Python works without needing any complex setup."
"The interactive elements like code notebooks were brilliant for learning by doing."
"The notebooks are excellent for getting your hands dirty without needing to set up an environment."
Concepts are explained simply with engaging, memorable examples.
"The explanations were easy to follow, and the hands-on examples like the cat meme API were fun."
"Instructor explained concepts very well... the practical applications were good to see."
"Brilliant course for non-coders... explains concepts thoroughly without overwhelming."
"The cat meme example was genius for an API intro."
Perfectly suited for those with no prior coding experience.
"Excellent introductory course... made Python very approachable... for beginners who want to dip their toes without being overwhelmed."
"Perfect for absolute beginners... The pace was just right and helped me build confidence."
"As someone completely new to coding, this course was fantastic and really eased me in."
"Highly recommended for non-technical people. The course makes complex ideas accessible."
Focuses on conceptual basics and using prepared code.
"Wish there was more depth in some areas, but I understand it's a 'basics' course."
"Too basic for me, even as a beginner. It felt like watching someone else code more than actually learning."
"Disappointed. The course doesn't teach you to code from scratch. It's mostly running existing code snippets."
"The course lives up to its 'basics' title... Don't expect to build complex apps."
"Waste of time. I expected to learn to program. This is just an intro to Python syntax and using pre-written scripts. Not a programming course."

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 Python Basics: Interacting with the Internet with these activities:
Practice using a code editor
Become comfortable with using a code editor or IDE to write and run Python code.
Browse courses on Code Editor
Show steps
  • Install a code editor or IDE on your computer.
  • Create a new Python file and write a simple program.
  • Run the program and observe the output.
Review basic math concepts
Python uses mathematical operations extensively. Brush up on your basic math skills to enhance your understanding of Python code.
Browse courses on Algebra
Show steps
  • Take an online math refresher course.
  • Review your high school math notes.
  • Practice solving math problems.
Learn the basics of Python
Practice the fundamentals of Python coding by following along with tutorials to build a stronger foundation.
Show steps
  • Enroll in an online tutorial course or find resources on YouTube.
  • Set aside 30 minutes each day to work on Python exercises.
  • Start with simple exercises and gradually increase the difficulty.
One other activity
Expand to see all activities and additional details
Show all four activities
Join a Python study group
Connect with other Python learners to discuss concepts, share knowledge, and work on projects together.
Show steps
  • Find a Python study group online or in your local area.
  • Attend regular meetings and participate in discussions.
  • Collaborate on projects with other group members.

Career center

Learners who complete Python Basics: Interacting with the Internet will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts typically work with a team of other professionals, including computer programmers, database administrators, and statisticians, to analyze data and disseminate their findings. This course may be particularly useful for Data Analysts as it builds a foundation for interacting with data in new and creative ways.
Web Developer
Web Developers are responsible for the design and development of websites. They work with clients to gather requirements, create prototypes, and develop and maintain websites. This course may be particularly useful for Web Developers as it helps build a foundation for interacting with data on the Internet.
Software Developer
Software Developers are responsible for the design, development, and maintenance of software applications. They work with clients to gather requirements, create prototypes, and develop and maintain software. This course may be particularly useful for Software Developers as it helps build a foundation for interacting with data on the Internet.
Database Administrator
Database Administrators are responsible for the design, development, and maintenance of databases. They work with clients to gather requirements, create prototypes, and develop and maintain databases. This course may be particularly useful for Database Administrators as it helps build a foundation for interacting with data on the Internet.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be particularly useful for Information Security Analysts as it helps build a foundation for interacting with data on the Internet.
Computer Programmer
Computer Programmers are responsible for the design, development, and maintenance of computer programs. They work with clients to gather requirements, create prototypes, and develop and maintain programs. This course may be particularly useful for Computer Programmers as it helps build a foundation for interacting with data on the Internet.
Computer Systems Analyst
Computer Systems Analysts are responsible for the design, development, and maintenance of computer systems. They work with clients to gather requirements, create prototypes, and develop and maintain systems. This course may be particularly useful for Computer Systems Analysts as it helps build a foundation for interacting with data on the Internet.
Network Administrator
Network Administrators are responsible for the design, development, and maintenance of computer networks. They work with clients to gather requirements, create prototypes, and develop and maintain networks. This course may be particularly useful for Network Administrators as it helps build a foundation for interacting with data on the Internet.
Data Scientist
Data Scientists are responsible for the design, development, and maintenance of data science models. They work with clients to gather requirements, create prototypes, and develop and maintain models. This course may be particularly useful for Data Scientists as it helps build a foundation for interacting with data on the Internet.
Machine Learning Engineer
Machine Learning Engineers are responsible for the design, development, and maintenance of machine learning models. They work with clients to gather requirements, create prototypes, and develop and maintain models. This course may be particularly useful for Machine Learning Engineers as it helps build a foundation for interacting with data on the Internet.
Artificial Intelligence Engineer
Artificial Intelligence Engineers are responsible for the design, development, and maintenance of artificial intelligence models. They work with clients to gather requirements, create prototypes, and develop and maintain models. This course may be particularly useful for Artificial Intelligence Engineers as it helps build a foundation for interacting with data on the Internet.
Data Engineer
Data Engineers are responsible for the design, development, and maintenance of data pipelines. They work with clients to gather requirements, create prototypes, and develop and maintain pipelines. This course may be particularly useful for Data Engineers as it helps build a foundation for interacting with data on the Internet.
IT Project Manager
IT Project Managers are responsible for the planning, execution, and closure of IT projects. They work with clients to gather requirements, create prototypes, and develop and maintain projects. This course may be particularly useful for IT Project Managers as it helps build a foundation for interacting with data on the Internet.
IT Consultant
IT Consultants are responsible for providing advice and guidance to clients on the use of IT. They work with clients to gather requirements, create prototypes, and develop and maintain solutions. This course may be particularly useful for IT Consultants as it helps build a foundation for interacting with data on the Internet.
IT Auditor
IT Auditors are responsible for the examination and evaluation of IT systems and controls. They work with clients to gather requirements, create prototypes, and develop and maintain audits. This course may be particularly useful for IT Auditors as it helps build a foundation for interacting with data on the Internet.

Reading list

We've selected 11 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 Python Basics: Interacting with the Internet.
Great resource for intermediate Python programmers who want to learn how to write more efficient and effective code. It covers a wide range of topics, from data structures and algorithms to object-oriented programming.
Provides a comprehensive introduction to Python programming, covering the basics of the language as well as more advanced topics such as data structures, algorithms, and object-oriented programming. It is written in a clear and concise style, and includes plenty of examples and exercises to help you learn.
Great resource for Python programmers who want to learn how to use natural language processing to analyze text data. It covers a wide range of topics, from tokenization and stemming to part-of-speech tagging and named entity recognition.
Great resource for Python programmers who want to learn how to use web scraping to extract data from the web. It covers a wide range of topics, from basic web scraping techniques to more advanced topics such as headless browsing and data parsing.
Great resource for Python programmers who want to learn how to use data analysis techniques to explore and analyze data. It covers a wide range of topics, from data cleaning and preparation to data visualization and statistical modeling.
Great resource for Python programmers who want to learn how to use Python for data science. It covers a wide range of topics, from data exploration and visualization to machine learning and deep learning.
Great resource for Python programmers who want to learn how to solve common programming problems. It contains a collection of recipes that cover a wide range of topics, from basic programming tasks to more advanced topics such as data analysis and web development.
Great resource for Python programmers of all levels who want to learn how to write better code. It covers a wide range of topics, from code style and readability to performance and debugging.
Great resource for beginners who want to learn how to use Python to automate tasks and solve problems. It covers a wide range of topics, from basic programming concepts to more advanced topics such as web scraping and data analysis.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser