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Aspen Olmsted
This course is the first course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the five main concepts in procedural programming: user input, console output, variable declaration and assignment, decision branching and iteration. Labs will allow you to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
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OpenCourser.com/course/w9608l/introduction
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What's inside
Syllabus
Console Input and Output
In this module, we roll up our sleeves and start coding! We will learn to use both IDLE to develop code and also to compile code from the command line. The Python scripts can be written on a Windows, Mac OS or Linux machine and I will show you how to do so. Our first programs will focus on reading input from the keyboard and outputting the results of the program to the console output.
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Syllabus
Console Input and Output
In this module, we roll up our sleeves and start coding! We will learn to use both IDLE to develop code and also to compile code from the command line. The Python scripts can be written on a Windows, Mac OS or Linux machine and I will show you how to do so. Our first programs will focus on reading input from the keyboard and outputting the results of the program to the console output.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Suitable for novices with no prior knowledge of programming
Builds a solid foundation in procedural programming concepts, such as decision branching and repetition
Hands-on labs provide opportunities for applying the learned concepts
Taught by experts in the field, Aspen Olmsted
Part of a series of courses designed to prepare for a programming role
Covers essential data types and their usage in programming
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Reviews summary
Beginner python for devops scripting
According to students, this course provides a solid and accessible foundation in Python scripting, making it perfect for absolute beginners aiming for a DevOps role. Learners particularly highlight the clear explanations, the engaging instructor, and the incredibly helpful hands-on labs that reinforce core programming concepts like user input, data types, decision branching, and iteration. While the course excels at teaching Python fundamentals, some feedback indicates it could incorporate more direct ties to specific DevOps tools or scenarios, although it still serves as a great stepping stone into programming for DevOps. The pacing is generally considered just right, building confidence for subsequent studies.
Course content remains up-to-date and highly relevant.
"The content is still relevant, no issues with outdated information."
"I found the concepts and practices taught are current and applicable today."
"The explanations on concepts like variables and iteration remain perfectly applicable today."
Instructor's explanations are clear; pacing is suitable for beginners.
"The instructor was clear..."
"The lectures are easy to follow..."
"I found the pacing just right, not too fast, not too slow."
"The instructor breaks down complex ideas into simple, digestible pieces."
Labs and practical examples solidify understanding effectively.
"The labs were incredibly helpful for reinforcing the concepts. The hands-on approach really made a difference."
"I appreciated the practical examples. The practical assignments are key to understanding."
"The lab exercises were relevant and helped solidify the concepts."
"The hands-on labs were challenging but rewarding."
Excellent starting point for new programmers in DevOps.
"This course was an excellent introduction to Python scripting... I came in with minimal programming experience and now feel confident..."
"Perfect for beginners! The lectures are easy to follow, and the exercises build up your confidence."
"Good course for absolute beginners in programming. I found the pacing just right, not too fast, not too slow."
"Exceeded my expectations for an introductory course. The structured approach... makes it very easy to grasp."
Focuses on Python fundamentals, not specific DevOps tools.
"My only minor critique is that while it covers Python, it could have a little more direct tie-in to specific DevOps tools or scenarios..."
"I felt it was a bit too slow at times and didn't really touch much on the 'DevOps' part beyond just general scripting. I was hoping for more specific use cases..."
"While the 'DevOps' aspect is minimal, it's a solid start for Python skills needed in any scripting role."
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 Introduction to Python Scripting for DevOps with these
activities:
Review basic programming concepts
Show steps
Go over the basic concepts of programming before starting the course, such as variables, data types, operators, and control flow.
Browse courses on
Programming Fundamentals
Show steps
-
Read textbooks or articles on programming fundamentals
-
Complete online tutorials or exercises on basic programming concepts
Organize course notes and materials
Show steps
Consolidate your notes, assignments, and any additional materials to have a comprehensive and well-organized study resource.
Show steps
-
Create a dedicated folder or notebook for the course
-
Regularly review and update your notes after each lecture or class
-
Keep track of important concepts, examples, and resources discussed in class
Practice Python drills
Show steps
Complete practice drills to reinforce the use of Python commands such as input, print, basic arithmetic, conditionals, and loops.
Show steps
-
Find online Python practice drills or exercises
-
Set aside time each day to work on practice drills
-
Review the syntax and concepts covered in the course before attempting the drills
Two other activities
Expand to see all activities and additional details
Show all five activities
Follow Python tutorials
Show steps
Explore online or offline Python tutorials to enhance your understanding of specific concepts, such as data types, control flow, and object-oriented programming.
Show steps
-
Identify areas where you need additional clarification or practice
-
Search for reputable Python tutorials or courses that address those areas
-
Follow the tutorials step-by-step, taking notes and practicing the examples
Create a Python program
Show steps
Develop a small Python program that incorporates concepts learned in the course, such as creating variables, using conditionals, and performing iterations.
Show steps
-
Identify a simple problem or task that can be solved using Python
-
Design the program's logic and structure
-
Write and test the Python code
-
Run the program and verify its functionality
Review basic programming concepts
Show steps
Go over the basic concepts of programming before starting the course, such as variables, data types, operators, and control flow.
Browse courses on
Programming Fundamentals
Show steps
Show steps
Show steps
- Read textbooks or articles on programming fundamentals
- Complete online tutorials or exercises on basic programming concepts
Organize course notes and materials
Show steps
Consolidate your notes, assignments, and any additional materials to have a comprehensive and well-organized study resource.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for the course
- Regularly review and update your notes after each lecture or class
- Keep track of important concepts, examples, and resources discussed in class
Practice Python drills
Show steps
Complete practice drills to reinforce the use of Python commands such as input, print, basic arithmetic, conditionals, and loops.
Show steps
Show steps
Show steps
- Find online Python practice drills or exercises
- Set aside time each day to work on practice drills
- Review the syntax and concepts covered in the course before attempting the drills
Two other activities
Expand to see all activities and additional details
Show all five activities
Follow Python tutorials
Show steps
Explore online or offline Python tutorials to enhance your understanding of specific concepts, such as data types, control flow, and object-oriented programming.
Show steps
Show steps
Show steps
- Identify areas where you need additional clarification or practice
- Search for reputable Python tutorials or courses that address those areas
- Follow the tutorials step-by-step, taking notes and practicing the examples
Create a Python program
Show steps
Develop a small Python program that incorporates concepts learned in the course, such as creating variables, using conditionals, and performing iterations.
Show steps
Show steps
Show steps
- Identify a simple problem or task that can be solved using Python
- Design the program's logic and structure
- Write and test the Python code
- Run the program and verify its functionality
Career center
Learners who complete Introduction to Python Scripting for DevOps will develop knowledge and skills
that may be useful to these careers:
DevOps Engineer
DevOps Engineer
A DevOps Engineer is responsible for the planning, design, implementation, and management of the software development and IT operations processes within an organization. This course provides a strong foundation in Python scripting, which is an essential skill for DevOps Engineers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that DevOps Engineers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a DevOps Engineer.
Software Developer
Software Developer
A Software Developer is responsible for the design, development, and maintenance of software applications. This course provides a strong foundation in Python scripting, which is a popular programming language used by Software Developers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Software Developers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Software Developer.
Data Scientist
Data Scientist
A Data Scientist is responsible for the collection, analysis, and interpretation of data to solve business problems. This course provides a strong foundation in Python scripting, which is a popular programming language used by Data Scientists. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Data Scientists need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Data Scientist.
Systems Administrator
Systems Administrator
A Systems Administrator is responsible for the maintenance and operation of computer systems and networks. This course provides a strong foundation in Python scripting, which is a popular programming language used by Systems Administrators. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Systems Administrators need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Systems Administrator.
IT Manager
IT Manager
An IT Manager is responsible for the planning, implementation, and management of the IT infrastructure and services within an organization. This course provides a strong foundation in Python scripting, which is a popular programming language used by IT Managers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that IT Managers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as an IT Manager.
Network Administrator
Network Administrator
A Network Administrator is responsible for the planning, implementation, and management of the network infrastructure within an organization. This course provides a strong foundation in Python scripting, which is a popular programming language used by Network Administrators. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Network Administrators need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Network Administrator.
Database Administrator
Database Administrator
A Database Administrator is responsible for the planning, implementation, and management of the database infrastructure within an organization. This course provides a strong foundation in Python scripting, which is a popular programming language used by Database Administrators. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Database Administrators need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Database Administrator.
Web Developer
Web Developer
A Web Developer is responsible for the design, development, and maintenance of websites. This course provides a strong foundation in Python scripting, which is a popular programming language used by Web Developers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Web Developers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Web Developer.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for the design, development, and implementation of machine learning models. This course provides a strong foundation in Python scripting, which is a popular programming language used by Machine Learning Engineers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Machine Learning Engineers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Machine Learning Engineer.
Data Analyst
Data Analyst
A Data Analyst is responsible for the collection, analysis, and interpretation of data to solve business problems. This course provides a strong foundation in Python scripting, which is a popular programming language used by Data Analysts. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Data Analysts need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Data Analyst.
Business Analyst
Business Analyst
A Business Analyst is responsible for the analysis of business processes and systems, and for recommending improvements. This course provides a strong foundation in Python scripting, which is a popular programming language used by Business Analysts. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Business Analysts need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Business Analyst.
Project Manager
Project Manager
A Project Manager is responsible for the planning, implementation, and management of projects. This course provides a strong foundation in Python scripting, which is a popular programming language used by Project Managers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Project Managers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Project Manager.
Technical Writer
Technical Writer
A Technical Writer is responsible for the creation of user manuals, documentation, and other technical materials. This course provides a strong foundation in Python scripting, which is a popular programming language used by Technical Writers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Technical Writers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Technical Writer.
Computer Programmer
Computer Programmer
A Computer Programmer is responsible for the coding and implementation of software programs. This course provides a strong foundation in Python scripting, which is a popular programming language used by Computer Programmers. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Computer Programmers need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Computer Programmer.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for the analysis and design of computer systems. This course provides a strong foundation in Python scripting, which is a popular programming language used by Systems Analysts. The course covers topics such as console input and output, data types, decision branching, and iteration, all of which are fundamental concepts that Systems Analysts need to master. By taking this course, you will gain the skills and knowledge needed to succeed in a role as a Systems Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/w9608l/introduction
Reading list
We've selected 12 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
Introduction to Python Scripting for DevOps.
Save
Textbook that covers the basics of Python programming. It's a great way to learn the fundamentals of Python, and it's also a good resource for reference.
Textbook that covers data structures and algorithms in Python. It's a great way to learn how to use Python to solve problems.
Comprehensive guide to Python programming. It covers all the major topics, from basic syntax to advanced concepts like object-oriented programming and data structures.
Practical guide to using Python for data analysis. It covers everything from data cleaning to data visualization, and it's a great way to learn how to use Python to make sense of data.
Practical guide to using Python for automation tasks. It covers everything from web scraping to data analysis, and it's a great way to learn how to use Python to make your life easier.
Practical guide to using Python for deep learning. It covers everything from neural networks to convolutional neural networks, and it's a great way to learn how to use Python to build deep learning models.
Save
Practical guide to using Python for data science. It covers everything from data cleaning to data visualization, and it's a great way to learn how to use Python to make sense of data.
Practical guide to using Python for finance. It covers everything from financial data analysis to risk management, and it's a great way to learn how to use Python to make sense of financial data.
Practical guide to using Python for machine learning. It covers everything from data preparation to model evaluation, and it's a great way to learn how to use Python to build machine learning models.
Save
Great way to get started with Python programming. It's written in a friendly, conversational style, and it covers all the basics of Python, from variables and data types to control flow and functions.
Practical guide to using Python for web development. It covers everything from web frameworks to database integration, and it's a great way to learn how to use Python to build web applications.
Fast-paced introduction to Python programming. It covers all the basics, and it's a great way to get started with Python if you're short on time.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w9608l/introduction
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Effort
17 hours to complete
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
Aspen Olmsted
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This course belongs to a
collection
called
Python Scripting for DevOps. It's comprised of four courses:
- Python Scripting: Dates, Classes and Collections
- Introduction to Python Scripting for DevOps (viewing)
- DevOps and Build Automation with Python
- Python Scripting: Files, Inheritance, and Databases
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