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Rudi Hinds
In this course, we are going to focus on the following learning objectives:
1. Work with core Python programming tools
2. Become comfortable reading and writing Python scripts
By the end of this course, you will have a solid grasp of scripting in Python. You will learn the Pythonic way of many of the core programming concepts. You will be able to read and understand Python scripts in your daily line of work
Register for this course and see more details by visiting:
OpenCourser.com/course/2fzusu/python
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What's inside
Syllabus
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what should give you pause and
possible dealbreakers
Suitable for professionals working with Python, such as system administrators, developers, and DevOps practitioners
Well-suited for learners with a basic foundation in computer programming, making it accessible to both experienced and aspiring Python users
Provides a comprehensive overview of Python scripting, covering core programming tools, loops, conditionals, data types, and module creation
Taught by Rudi Hinds, who brings expertise and knowledge in Python scripting
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Reviews summary
Python scripting for devops: practical, concise, foundational
According to learners, this course offers a highly practical and concise introduction to Python scripting, specifically tailored for DevOps and operations roles. Students consistently highlight its hands-on, project-based approach and the clear explanations provided by the instructor, which effectively demystify core concepts. Many found the structured format efficient for learning by doing, enabling them to gain actionable skills swiftly. While largely seen as a valuable and efficient use of time, especially given its 1-hour duration, some learners noted that its brevity means it might lack deeper dives for those seeking comprehensive mastery or more foundational reinforcement, particularly if their prior programming knowledge is rusty.
Provides solid basics but may not delve into advanced concepts.
"A solid introduction to Python scripting for DevOps... some topics could use more depth."
"Good for a quick refresher or getting started, but don't expect to become an expert."
"It's short, which is a pro and a con - easy to finish, but leaves you wanting more depth on certain topics."
Instructor provides clear explanations and emphasizes Pythonic approaches.
"The instructor explained everything clearly and at a good pace. I appreciate the focus on 'Pythonic' ways."
"I particularly liked the section on list comprehension and working with different data types in a Pythonic way."
"The focus on making scripts executable was particularly useful for my daily work."
An efficient and focused 1-hour project for rapid skill acquisition.
"The 1-hour format means it's concise, which is great for busy professionals..."
"It's a quick project, so don't expect a comprehensive deep dive, but it certainly gets you comfortable with the basics needed for scripting in a professional environment."
"This course exceeded my expectations for a 1-hour project. It focuses on the most important aspects of Python scripting for operations."
Delivers highly actionable Python skills for real-world DevOps tasks.
"This project-based course was exactly what I needed to bridge the gap between basic Python and practical DevOps tasks."
"As a system administrator, I've been looking for practical Python applications, and this delivered. The demos were clear, and the exercises reinforced the concepts."
"Excellent course for applying Python to real-world DevOps problems. The instructor's approach is very hands-on, which is what I prefer."
Requires a solid basic programming foundation to fully benefit.
"The course is okay, but I felt it was a bit too fast-paced for an 'intermediate' course, especially if your 'basic foundation' in another language is rusty."
"I expected more from an intermediate course. While it touches on relevant topics, the explanations are sometimes superficial. I've programmed in Java before, but some Python specifics weren't covered adequately for me to grasp them quickly."
"As a student curious about Python for future career prospects, this course was a good starting point. It's definitely intermediate, so having prior programming knowledge is a must."
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 Scripting for DevOps with these
activities:
Review Python syntax
Show steps
Picking up Python can be smoother if you refresh your knowledge of its syntax.
Browse courses on
Python Syntax
Show steps
-
Revisit Python tutorial
-
Read through Python documentation
Follow a Python tutorial series
Show steps
Following a Python tutorial series can help to ensure that you leave no knowledge gaps behind.
Show steps
-
Locate suitable tutorial
-
Set aside time to follow tutorial
Practice writing Python scripts
Show steps
Writing Python scripts can help you to solidify your understanding of the core tools that you will work with.
Show steps
-
Locate Python exercises online
-
Practice solving Python coding challenges
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python cheat sheet
Show steps
Creating a cheat sheet can help you document what you have learned and provide a valuable resource that you can reference at any time in the future.
Show steps
-
Identify key concepts to include
-
Organize content
-
Create cheat sheet
Compile course notes
Show steps
Compiling notes can help you sort and summarize key concepts from the course.
Show steps
-
Review course materials
-
Extract key points
-
Create repository
Contribute to an open-source Python project
Show steps
Contributing to an open-source project can help you to develop your Python skills and give you a chance to collaborate with other developers.
Show steps
-
Locate suitable project
-
Review project documentation
-
Consider making contributions
Create a Python project
Show steps
To really put your knowledge to the test, you can try working on a project.
Show steps
-
Identify project scope
-
Plan project
-
Develop the project
Review Python syntax
Show steps
Picking up Python can be smoother if you refresh your knowledge of its syntax.
Browse courses on
Python Syntax
Show steps
Show steps
Show steps
- Revisit Python tutorial
- Read through Python documentation
Follow a Python tutorial series
Show steps
Following a Python tutorial series can help to ensure that you leave no knowledge gaps behind.
Show steps
Show steps
Show steps
- Locate suitable tutorial
- Set aside time to follow tutorial
Practice writing Python scripts
Show steps
Writing Python scripts can help you to solidify your understanding of the core tools that you will work with.
Show steps
Show steps
Show steps
- Locate Python exercises online
- Practice solving Python coding challenges
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Python cheat sheet
Show steps
Creating a cheat sheet can help you document what you have learned and provide a valuable resource that you can reference at any time in the future.
Show steps
Show steps
Show steps
- Identify key concepts to include
- Organize content
- Create cheat sheet
Compile course notes
Show steps
Compiling notes can help you sort and summarize key concepts from the course.
Show steps
Show steps
Show steps
- Review course materials
- Extract key points
- Create repository
Contribute to an open-source Python project
Show steps
Contributing to an open-source project can help you to develop your Python skills and give you a chance to collaborate with other developers.
Show steps
Show steps
Show steps
- Locate suitable project
- Review project documentation
- Consider making contributions
Create a Python project
Show steps
To really put your knowledge to the test, you can try working on a project.
Show steps
Show steps
Show steps
- Identify project scope
- Plan project
- Develop the project
Career center
Learners who complete 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 bridging the gap between development and operations teams. They work to ensure that software is developed, tested, and deployed efficiently and reliably. This course provides a solid foundation in Python scripting, which is an essential skill for DevOps Engineers. By learning how to write Python scripts, you will be able to automate tasks, provision infrastructure, and manage deployments. This will help you to improve the efficiency and reliability of your software development process.
Software Developer
Software Developer
A Software Developer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course provides a solid foundation in Python scripting, which is a popular programming language for developing web applications, mobile applications, and desktop applications. By learning how to write Python scripts, you will be able to build software applications that are efficient, reliable, and user-friendly.
System Administrator
System Administrator
A System Administrator is responsible for managing and maintaining computer systems. They work to ensure that systems are up and running, and that they are secure and reliable. This course provides a solid foundation in Python scripting, which is a valuable skill for System Administrators. By learning how to write Python scripts, you will be able to automate tasks, manage infrastructure, and troubleshoot problems. This will help you to improve the efficiency and reliability of your IT systems.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data. They work to identify trends and patterns in data, and to develop insights that can help businesses make better decisions. This course provides a solid foundation in Python scripting, which is a popular programming language for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations. This will help you to gain insights from data that can help your business make better decisions.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and managing cloud-based infrastructure. They work to ensure that cloud-based applications are reliable, scalable, and secure. This course provides a solid foundation in Python scripting, which is a popular programming language for cloud computing. By learning how to write Python scripts, you will be able to automate cloud-based tasks, manage cloud infrastructure, and develop cloud-based applications. This will help you to build and manage cloud-based infrastructure that is efficient, reliable, and secure.
Web Developer
Web Developer
A Web Developer is responsible for designing, developing, and maintaining websites. They work with a variety of programming languages and technologies to create websites that are user-friendly, efficient, and visually appealing. This course provides a solid foundation in Python scripting, which is a popular programming language for web development. By learning how to write Python scripts, you will be able to develop web applications that are efficient, reliable, and user-friendly.
Mobile Developer
Mobile Developer
A Mobile Developer is responsible for designing, developing, and maintaining mobile applications. They work with a variety of programming languages and technologies to create mobile applications that are user-friendly, efficient, and visually appealing. This course provides a solid foundation in Python scripting, which is a popular programming language for mobile development. By learning how to write Python scripts, you will be able to develop mobile applications that are efficient, reliable, and user-friendly.
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data. They work to identify trends and patterns in data, and to develop insights that can help businesses make better decisions. This course may be useful for Data Scientists who want to learn how to use Python for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, building, and maintaining machine learning models. They work to develop machine learning models that can solve real-world problems, such as predicting customer behavior or identifying fraud. This course may be useful for Machine Learning Engineers who want to learn how to use Python for machine learning. By learning how to write Python scripts, you will be able to automate machine learning tasks, clean and prepare data, and develop machine learning models.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They work to develop solutions that can help businesses improve their efficiency and profitability. This course may be useful for Business Analysts who want to learn how to use Python for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They work to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be useful for Project Managers who want to learn how to use Python for project management. By learning how to write Python scripts, you will be able to automate project management tasks, such as tracking progress, managing resources, and communicating with stakeholders.
Technical Writer
Technical Writer
A Technical Writer is responsible for creating and maintaining technical documentation. They work to ensure that documentation is clear, concise, and accurate. This course may be useful for Technical Writers who want to learn how to use Python for technical writing. By learning how to write Python scripts, you will be able to automate documentation tasks, such as generating documentation from code, and creating interactive documentation.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for testing software to ensure that it meets quality standards. They work to identify and fix bugs, and to ensure that software is reliable and user-friendly. This course may be useful for Quality Assurance Analysts who want to learn how to use Python for testing. By learning how to write Python scripts, you will be able to automate testing tasks, such as running tests, and generating test reports.
IT Auditor
IT Auditor
An IT Auditor is responsible for assessing the security and compliance of IT systems. They work to identify and mitigate risks, and to ensure that IT systems are compliant with regulations. This course may be useful for IT Auditors who want to learn how to use Python for IT auditing. By learning how to write Python scripts, you will be able to automate IT auditing tasks, such as scanning for vulnerabilities, and generating audit reports.
Cybersecurity Analyst
Cybersecurity Analyst
A Cybersecurity Analyst is responsible for protecting computer systems and networks from cyber threats. They work to identify and mitigate vulnerabilities, and to respond to security incidents. This course may be useful for Cybersecurity Analysts who want to learn how to use Python for cybersecurity. By learning how to write Python scripts, you will be able to automate cybersecurity tasks, such as scanning for malware, and generating security reports.
For more career information including salaries, visit:
OpenCourser.com/course/2fzusu/python
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 Scripting for DevOps.
Save
Provides a comprehensive introduction to Python programming, covering the core concepts, syntax, and data structures. It valuable resource for beginners who want to build a solid foundation in Python.
Offers a practical and project-based approach to learning Python. It is suitable for beginners and provides hands-on experience through various projects and exercises.
Save
Presents Python concepts in a unique and engaging way, using visual aids and interactive exercises. It is particularly helpful for those who prefer a more creative and intuitive approach to learning.
Focuses on practical Python applications, teaching readers how to automate tasks and solve real-world problems. It great resource for beginners who want to use Python for practical purposes.
Provides a comprehensive guide to data analysis in Python, covering data manipulation, data visualization, and statistical modeling. It is particularly useful for those interested in using Python for data science and machine learning.
Save
Is written for experienced Python programmers who want to improve their coding skills and learn advanced Python concepts. It provides insights into Python's design and best practices, making it a valuable resource for professional developers.
Save
Provides a collection of practical recipes for solving common Python programming problems. It valuable resource for developers who want to learn how to apply Python in various scenarios.
Save
Provides a comprehensive introduction to computer science using Python as the programming language. It is suitable for beginners and covers topics such as variables, data types, loops, and functions.
Save
Teaches the principles of software design using Python. It covers topics such as object-oriented design, software architecture, and testing, making it valuable for programmers who want to improve their software development skills.
Provides a comprehensive introduction to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It is suitable for both beginners and experienced Python programmers with an interest in deep learning.
Save
Provides a comprehensive approach to Python programming. It covers various topics such as data types, operators, control flow, functions, and object-oriented programming. It is suitable for beginners as well as experienced programmers who want to enhance their Python skills.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2fzusu/python
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