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Martin O'Hanlon

On this course, you’ll explore programming in Python. Guided by the Raspberry Pi Foundation, you’ll discover basic programming concepts, learning how to understand the basics of Python syntax and interpret error messages.

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On this course, you’ll explore programming in Python. Guided by the Raspberry Pi Foundation, you’ll discover basic programming concepts, learning how to understand the basics of Python syntax and interpret error messages.

Ultimately, you’ll use your new coding skills to create your first program – which will be able to solve a simple problem.

What you'll learn

Over the following four weeks, you will:

  • Explore basic programming concepts such as sequencing and repetition
  • Identify use cases for 'for' and 'while' loops, if statements and functions
  • Produce your own program to solve a simple problem
  • Interpret error messages, with a knowledge of basic Python syntax

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What's inside

Learning objectives

  • Explore basic programming concepts such as sequencing and repetition
  • Identify use cases for 'for' and 'while' loops, if statements and functions
  • Produce your own program to solve a simple problem
  • Interpret error messages, with a knowledge of basic python syntax

Syllabus

You will cover:
Basic programming concepts such as repetition and sequencing
When and how to use a 'for' loop, an 'if' statement, a 'while' loop, and functions
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Creating your own program to solve a simple problem
The basics of Python syntax
How to interpret error messages

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational programming skills relevant for industry, such as problem-solving and error correction
Uses a 'learn-by-doing' approach with a practical focus, allowing learners to apply concepts to real-world problems
Could be more comprehensive, as it does not cover advanced concepts like object-oriented programming or data structures
Requires learners to have access to a computer and basic programming knowledge, which may not be accessible to all

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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 Programming 101: An Introduction to Python for Educators with these activities:
Read 'Invent Your Own Computer Games with Python'
Develop your Python skills by reading through this great book on creating games with Python.
Show steps
  • Purchase and read the book.
  • Start creating your own Python games by working through the exercises in the book.
Follow Python Tutorials
Seek out comprehensive tutorials online to enhance your Python knowledge.
Browse courses on Python
Show steps
  • Identify a series of Python tutorials to follow.
  • Follow the tutorials step-by-step and complete the exercises.
  • Apply the concepts learned from the tutorials to your own Python projects.
Compile Python Resources
Create a compilation of helpful Python resources, including online tutorials, documentation, and code snippets.
Browse courses on Python
Show steps
  • Gather Python resources from various online sources.
  • Organize the resources into a structured compilation.
  • Share your compilation with fellow Python learners.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Find a Python Mentor
Seek out an experienced Python developer or mentor who can provide guidance and support as you learn Python.
Browse courses on Python
Show steps
  • Identify potential mentors in your network or through online communities.
  • Reach out to potential mentors and request their guidance.
  • Regularly connect with your mentor for advice and support.
Practice Coding Python Problems
Challenge yourself with practice coding problems to improve your Python skills
Browse courses on Python
Show steps
  • Identify a list of coding problems to practice.
  • Use online resources or books to find solutions to these problems.
Join a Python Study Group
Join an existing Python study group or start one with your peers to discuss concepts and work on projects together.
Browse courses on Python
Show steps
  • Attend regular study group meetings.
  • Participate in discussions and code reviews.
  • Collaborate with other members on Python projects.
Build a Python Project
Solidify your Python skills and knowledge by building a functional project.
Browse courses on Python
Show steps
  • Identify a project idea and scope.
  • Design and develop the project using Python.
  • Test and refine your project.
Participate in Python Coding Competitions
Participate in online Python coding competitions to test your skills and learn from others.
Browse courses on Python
Show steps
  • Register for an online Python coding competition.
  • Practice solving coding problems.
  • Participate in the competition and compete against other coders.
  • Analyze your performance and learn from your mistakes.
Become a Python Mentor
Identify opportunities to mentor or tutor others in Python, solidifying your Python knowledge by helping others.
Browse courses on Python
Show steps
  • Identify a platform or organization where you can mentor others.
  • Prepare lesson plans and materials to support your mentees' learning.
  • Provide guidance, feedback, and support to your mentees.

Career center

Learners who complete Programming 101: An Introduction to Python for Educators will develop knowledge and skills that may be useful to these careers:
Computer Science Teacher
This course aligns well with the needs of a Computer Science Teacher. It offers a gentle introduction to Python programming, with a focus on basic programming concepts and syntax. These principles can be directly applied when teaching computer science at a beginner level.
Data Scientist
Python is a widely used language for data analysis and machine learning. This course provides an introduction to the fundamentals of programming with Python, which can be used as a stepping stone for developing the skills needed as a Data Scientist.
Machine Learning Engineer
This course provides an introduction to Python, which is widely used in machine learning applications such as data analysis, model building, and deployment. For those interested in a career as a Machine Learning Engineer, this course can help build a foundation.
Web Developer
Python is a popular language for web development, particularly in the context of back-end development where the focus is on developing the server-side of a website. This course helps you understand basic programming concepts that translate across different web programming languages.
Software Engineer
To be a proficient Software Engineer, it is essential to have a strong foundation in programming principles and syntax. This course helps build a foundation in programming concepts by introducing basic programming concepts such as sequencing, repetition, and using functions.
Information Security Analyst
Python is widely used in Information Security, particularly for scripting and automating tasks. This course provides an introduction to Python and its syntax, which can be useful for those interested in working in security and risk management as an Information Security Analyst.
Business Intelligence Analyst
Python is widely used in business intelligence applications, and this course provides a good introduction to its syntax and basic programming concepts. Business Intelligence Analysts could benefit from this introduction to Python.
Automation Engineer
This course is a great starting point for those interested in becoming an Automation Engineer, as it covers basic programming principles and functions for Python, which is a language often used to automate tasks through the use of scripts.
Cloud Engineer
Cloud Engineers commonly work with Python, including for scripting and automating tasks in cloud environments. This course offers a foundation in the basics of Python programming, building a foundation for further learning.
Software Architect
This course may be helpful for those seeking to design and oversee the development of software systems. It covers basic programming concepts as well as syntax for Python, a language used in various capacities in software development.
Database Administrator
This course may be useful as an introduction to Python programming for those interested in becoming a Database Administrator, as Python can be used to automate database tasks and perform data analysis.
Computer Programmer
This course may be useful for those seeking to write and design programs, as the course covers basic programming concepts and functions for Python. Python is a relatively intuitive programming language with a readable syntax that is commonly used by professionals in various industries for software development and scripting.
Data Analyst
A beginner-friendly introduction to Python programming like this course is a great entry point for those interested in becoming a Data Analyst, as Python is becoming increasingly common in the field for data visualization and analysis.
Network Engineer
Python is sometimes used in network management and automation. While this course is not specifically targeted at network engineering, it may be a helpful introduction to Python for those interested in the field.
Business Analyst
This course may be useful for Business Analysts seeking to explore the technical side of their role. It covers basic programming concepts, which can be helpful for understanding the processes and systems they work with.

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 Programming 101: An Introduction to Python for Educators.
A hands-on, project-based introduction to Python programming, covering the basics of the language and how to use it to solve real-world problems.
A textbook on Python programming, covering the basics of the language and how to use it to solve computational problems.
An introductory book on Python programming, covering the basics of the language and how to use it to solve simple problems.
A practical guide to Python programming, focusing on how to use the language to automate everyday tasks and solve common problems.
A book on Python programming for data analysis, covering the basics of the language and how to use it to manipulate and analyze data.
A reference book on Python programming, covering a wide range of topics and providing concise explanations and examples.
A beginner-friendly guide to Python programming, using a workbook format to provide exercises and solutions for practicing the basics of the language.

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