We may earn an affiliate commission when you visit our partners.
Course image
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.

Enroll now

Two deals to help you save

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.
Read more
Data Types
In the second module of this course, we will look at how computers store data during the execution of a program. We will look at storing whole numbers, decimal numbers, boolean values and strings. We will explore how you can convert between different types of variables. Lastly, we will look at how long a variable stays in existence and when it is visible to the pieces of the code.
Decision Branching
In the third module of this course, we will learn how to change the flow of a program’s executionSometimesr based on a test. We will look at single tests utilizing if statements in our code. We follow up with multiple tests with the addition of the else clause. Lastly, we look at the case statement as an alternative expression of the flow of the program.
Iteration
In the fourth module of this course, we learn how to change the flow of our programs by repeating code iteratively. We will start with a look at loops that repeat a fixed number of times. We will follow up with writing loops that continue while a test is positive. Lastly, we will look at how we can modify the flow to immediately break from a loop or jump back to the test condition.

Good to know

Know what's good
, what to watch for
, 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

Save this course

Save Introduction to Python Scripting for DevOps to your list so you can find it easily later:
Save

Reviews summary

Intermediate python course for devops

According to students, this intermediate-level course is not recommended for complete beginners as the content assumes some prior knowledge of the Python programming language. It is also not recommended for experienced coders. Reviews specifically mention there are very few hands-on projects and the labs are rote. Students say that the graded quizzes and practice assignments are often incorrect or irrelevant for the material covered in the videos. They also describe the course material as outdated.
Rote
"The labs are more rote."
Few Hands-On Projects
"It has very few hands-on projects"
"The assignments are crappy"
Out of Date
"The contents are not updated till even relatively newer version of Python."
Incorrect or Irrelevant
"Quiz answers are sometimes different than what they teach us"
"Code that is submitted for some assignments that are clearly correct and exactly what they ask for, is failed and doesn't even tell you why."
"There are also errors in some of the answers in the quizes.. the incorrect answere is the one that is supposed to be correct."
Not for Beginners
"It is not recommended for new learners or anyone for that matter."
"This course is not detailed enough for an absolute beginner and should not be labeled as an introduction."

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
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
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
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
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
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

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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.
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.
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.
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.

Share

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

Similar courses

Here are nine courses similar to Introduction to Python Scripting for DevOps.
Getting Started with Android Material Design
Material Design 3 for Beginners: Building UI Systems
Python Scripting: Files, Inheritance, and Databases
Advanced UI with Material 3: Customization & Performance
Python Scripting: Dates, Classes and Collections
Android Material Design: Implementing Tabs
Android App UI Design with Adobe XD & Google Material...
DevOps and Build Automation with Python
Material Design 3 for Beginners : Customizing Components
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 - 2024 OpenCourser