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Seth Frey

Understanding the flow of running code is a major part of learning to think in code and of coding itself. In this course we will study the flow of code through several demonstrations and walkthroughs. We'll experience turning logic into useful work by running Python that automatically reads all of Shakespeare, and by setting Python up to give you a call on the phone. In technical terms, this course will demonstrate Python loops, list comprehensions, and conditional statements, while at a higher level we'll discuss code style and good practices for code.

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What's inside

Syllabus

Reading all of Shakespeare in an Instant
To demonstrate the power of Python, you'll download and automatically read the complete works of William Shakespeare, toward finding his longest and strangest words. In this module, you'll also learn how to play faster and looser and more casual with code, skimming and copying code from the Internet. Let's get started!
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The Flow of Your Python Code
Code flow is the order that your computer reads the code you write. It's usually straightforward, from left to right, top to bottom, but the more we play with logic, the funnier the flow of code through the page. This introduces us to a whole other level of thinking in code.
Code Flow and Logic
It can be hard to imagine at first how logic can be harnessed to do useful stuff. In this module we make it concrete by performing wordy little tasks like building an anagram finder.
Course Summary & Honors: Interactive Demo
In the honor's section of this module, you will robocall and spam text yourself through the Twilio API in Python. Twilio is what companies use to automate phone calls and texting.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for beginners who want to learn Python basics
Covers essential Python concepts like loops, list comprehensions, and conditional statements
Provides practical examples and walkthroughs to enhance understanding
Demonstrates the flow of code and how it translates into useful applications
Interactive module allows learners to make phone calls using Twilio API
Taught by experienced instructors, Seth Frey

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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 Python Basics: Automation and Bots with these activities:
Python Refresher Course
Helps you refresh your Python skills by consolidating the foundational principles and concepts introduced in this online course.
Show steps
  • Review your notes and materials from this online course.
  • Take a Python refresher course or tutorial to reinforce your understanding.
  • Work through some Python coding challenges to practice your skills.
Python Tutorial for Beginners
Introduces you to the basics of Python programming, including data types, variables, control flow, and functions.
Show steps
  • Find a reputable Python tutorial for beginners online or in a book.
  • Follow the tutorial step-by-step.
  • Complete the exercises and quizzes in the tutorial.
Python Coding Challenges
Reinforce your understanding of the Python language and develop your problem-solving skills by solving coding challenges.
Show steps
  • Find a set of Python coding challenges online or in a book.
  • Solve the challenges using your Python skills.
  • Check your solutions against the provided answers or discuss them with other learners.
Five other activities
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Show all eight activities
Read Practical Programming, 4th ed.
Helps you develop a deeper understanding of the programming fundamentals and principles of software engineering to make you a more effective programmer and developer.
Show steps
  • Read each chapter thoroughly, taking notes of important concepts and ideas.
  • Complete the end-of-chapter exercises to test your understanding and practice your programming skills.
  • Apply the concepts and principles you learn in the book to your own projects.
Python Study Group
Provides you with an opportunity to learn from and collaborate with other Python learners.
Show steps
  • Find or start a Python study group online or in your local area.
  • Meet with the group regularly to discuss Python topics, work on projects, and help each other learn.
Python Code Snippets
Helps you retain information and improve your understanding of Python by creating your own code snippets.
Show steps
  • Choose a Python concept or technique that you want to learn more about.
  • Write a short code snippet that demonstrates the concept or technique.
  • Include comments in your code snippet to explain what it does.
Python Workshop
Provides you with an immersive learning experience where you can develop your Python skills under the guidance of an experienced instructor.
Show steps
  • Find a Python workshop that aligns with your interests and skill level.
  • Register for the workshop and attend all sessions.
  • Participate actively in the workshop, ask questions, and complete the exercises.
  • Follow up on what you learned in the workshop by practicing and building projects.
Python Portfolio Project
Provides you with an opportunity to apply your Python skills to a real-world problem and build a portfolio of your work.
Show steps
  • Identify a problem or challenge that you can solve using Python.
  • Design and develop a Python solution to the problem.
  • Document your code and create a user guide.
  • Deploy your project and make it available to others.

Career center

Learners who complete Python Basics: Automation and Bots will develop knowledge and skills that may be useful to these careers:
Software Engineer
A Software Engineer is responsible for designing, developing, deploying, and maintaining software applications. This role encompasses a wide range of technical skills, including programming, data structures, and algorithms. The Python Basics: Automation and Bots course from the University of California, Davis provides a strong foundation in these core concepts, helping you to build the skills necessary for a successful career as a Software Engineer. The course's focus on automation and bots is particularly relevant to this field, as automation is increasingly used to streamline software development and testing processes.
Data Scientist
A Data Scientist gathers, analyzes, and interprets data to extract meaningful insights. This role requires a strong foundation in statistics, machine learning, and programming. The Python Basics: Automation and Bots course provides a solid introduction to these topics, helping you to build the skills necessary for a successful career as a Data Scientist. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline data analysis and modeling processes.
Business Analyst
A Business Analyst works with stakeholders to gather and analyze business requirements, and then develop and implement solutions to meet those requirements. This role requires a strong understanding of business processes, as well as analytical and problem-solving skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Business Analyst. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline business processes.
Quality Assurance Analyst
A Quality Assurance Analyst tests software applications to ensure that they meet the required standards. This role requires a strong understanding of software testing principles and techniques, as well as programming skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Quality Assurance Analyst. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline software testing processes.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This role requires a strong understanding of both software development and IT operations, as well as automation and scripting skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a DevOps Engineer. The course's focus on automation and bots is also particularly relevant to this field, as automation is increasingly used to streamline software development and deployment processes.
Web Developer
A Web Developer designs, develops, and maintains websites. This role requires a strong understanding of web development technologies, including HTML, CSS, JavaScript, and Python. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Web Developer. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline website development and deployment processes.
Mobile App Developer
A Mobile App Developer designs, develops, and maintains mobile applications. This role requires a strong understanding of mobile development technologies, including Java, Swift, and Python. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Mobile App Developer. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline mobile app development and deployment processes.
Data Analyst
A Data Analyst gathers, analyzes, and interprets data to extract meaningful insights. This role requires a strong foundation in statistics, machine learning, and programming. The Python Basics: Automation and Bots course provides a solid introduction to these topics, helping you to build the skills necessary for a successful career as a Data Analyst. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline data analysis and modeling processes.
Software Tester
A Software Tester tests software applications to ensure that they meet the required standards. This role requires a strong understanding of software testing principles and techniques, as well as programming skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Software Tester. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline software testing processes.
IT Support Specialist
An IT Support Specialist provides technical support to users of computer systems and software. This role requires a strong understanding of computer hardware and software, as well as problem-solving skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as an IT Support Specialist. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline IT support processes.
Network Administrator
A Network Administrator is responsible for the design, implementation, and maintenance of computer networks. This role requires a strong understanding of networking technologies, as well as programming skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Network Administrator. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline network management processes.
Database Administrator
A Database Administrator is responsible for the design, implementation, and maintenance of databases. This role requires a strong understanding of database technologies, as well as programming skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Database Administrator. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline database management processes.
Systems Analyst
A Systems Analyst designs, develops, and implements computer systems. This role requires a strong understanding of systems analysis and design principles, as well as programming skills. The Python Basics: Automation and Bots course provides a foundation in these core concepts, helping you to build the skills necessary for a successful career as a Systems Analyst. The course's focus on automation and bots is also relevant to this field, as automation is increasingly used to streamline systems analysis and design processes.

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 Python Basics: Automation and Bots.
Provides a comprehensive overview of Python automation and valuable reference for anyone interested in learning more about this topic. It covers a wide range of topics, from basic programming concepts to advanced techniques, and includes numerous examples and exercises.
Great reference for Python programmers of all levels. It provides a collection of recipes for solving common programming problems, making it a valuable resource for anyone who wants to learn more about Python.
Great reference for Python programmers of all levels. It provides a comprehensive overview of the Python language, including its syntax, semantics, and standard library.
Great resource for Python programmers who want to improve their coding skills. It provides a collection of tips and techniques for writing more fluent and Pythonic code.
Great introduction to Python programming and computer science. It covers a wide range of topics, from basic programming concepts to more advanced topics such as recursion and object-oriented programming.
Great resource for Python programmers who want to improve their coding skills. It provides a collection of tips and techniques for writing better Python code.
Great resource for Python programmers who want to learn more about financial data analysis. It covers a wide range of topics, from data cleaning and wrangling to data visualization and modeling.
Great resource for Python programmers who want to learn more about machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning to deep learning.
Great resource for Python programmers who want to learn more about deep learning. It covers a wide range of topics, from neural networks to convolutional neural networks to recurrent neural networks.
Great resource for Python programmers who want to learn more about natural language processing. It covers a wide range of topics, from text classification to named entity recognition to machine translation.
Great introduction to Python for beginners and provides a solid foundation for those interested in learning more about automation and bots. It covers the basics of Python programming, including data types, variables, functions, and loops.
Great resource for Python programmers who want to learn more about data analysis. It covers a wide range of topics, from data cleaning and wrangling to data visualization and modeling.
Great resource for Python programmers who want to learn more about artificial intelligence. It covers a wide range of topics, from machine learning to natural language processing to computer vision.

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