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In this course, you will develop the skills you need to write effective and powerful scripts and tools using Python. We will go through the necessary features of the Python language to be able to leverage its additional benefits in writing scripts and creating command line tools (data types, loops, conditionals, functions, error handling, and more). Beyond the language itself, you will go through the full development process including project setup, planning, and automated testing to build two different command line tools.

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Teaches foundational Python programming principles for data science
Led by instructors recognized in the industry
Provides hands-on experience in developing Python scripts and tools
Covers essential Python concepts such as data types, control flow, and error handling
Focuses on practical application and includes a project-based approach
May require additional resources or background knowledge in Python

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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 2.7 Scripting for System Administrators with these activities:
Review Python Data Types
Refresh your understanding of Python data types to prepare for the course.
Browse courses on Python
Show steps
  • Review the official Python documentation on data types.
  • Write a simple Python script that demonstrates the different data types.
Python Crash Course
Gain a solid foundation in Python basics.
Show steps
  • Read through the entire book.
  • Complete the exercises at the end of each chapter.
  • Build a small Python project to apply your learning.
Read Data Science from Scratch: First Principles with Python
Review basic Python concepts and data science fundamentals to prepare for the course.
Show steps
  • Read the first three chapters of the book.
  • Complete the exercises at the end of each chapter.
  • Summarize the key concepts covered in the book.
Five other activities
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Show all eight activities
Python Scripting Tutorials for Beginners
Practice writing Python scripts and command line tools.
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Show steps
  • Follow the tutorials on the Python Scripting Tutorial website.
  • Create a simple Python script that automates a task.
  • Create a command line tool that takes user input and performs a specific action.
Python Code Challenges
Solve coding challenges to improve Python skills and problem-solving abilities.
Browse courses on Python
Show steps
  • Find a website or platform that offers Python coding challenges.
  • Solve as many challenges as you can.
  • Review your solutions and identify areas for improvement.
Python Scripting Cookbook
Create a collection of Python scripts that demonstrate best practices and common use cases.
Browse courses on Python
Show steps
  • Identify a set of common tasks or problems that can be solved with Python scripts.
  • Write Python scripts to solve each task or problem.
  • Document the scripts with clear instructions and examples.
  • Organize the scripts into a cookbook or reference document.
  • Share the cookbook with others.
Automated Testing for Python Scripts
Develop skills in writing automated tests for Python scripts.
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Show steps
  • Learn about the basics of automated testing.
  • Install a testing framework such as unittest or pytest.
  • Write unit tests for your Python scripts.
  • Run the tests and fix any errors.
Command Line Tool Project
Apply your Python skills to build a complete command line tool.
Browse courses on Python
Show steps
  • Identify a problem or task that can be solved with a command line tool.
  • Design the tool's functionality and user interface.
  • Implement the tool's logic in Python.
  • Test and debug the tool.

Career center

Learners who complete Python 2.7 Scripting for System Administrators will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for transforming raw data into actionable insights, a task for which Python is often used. This course will provide a strong foundation in Python, enabling you to collect, clean, and analyze large datasets, which are at the core of many data-driven roles.
Software Engineer
As a Software Engineer, writing custom scripts and tools would be a crucial aspect of your workflow. Python is very popular among software engineers and this course will provide you with a strong foundation in the language, enabling you to automate tasks, interact with external systems, and develop efficient and reliable software solutions.
Data Science Engineer
Data Science Engineers are responsible for building and maintaining the infrastructure and tools used by data scientists, often leveraging Python for tasks such as data wrangling, model deployment, and data visualization. This course will provide you with a strong foundation in Python, enabling you to contribute to data science initiatives and support the development of data-driven solutions.
DevOps Engineer
DevOps Engineers are responsible for the automation and streamlining of software development and IT operations processes, often using Python for tasks such as automating infrastructure provisioning, monitoring, and testing. This course will provide you with a strong foundation in Python, enabling you to contribute to DevOps initiatives and enhance the efficiency of your team.
Automation Engineer
Automation Engineers are responsible for automating processes and tasks, often using Python for tasks such as web scraping, data extraction, and system administration. This course will provide you with a strong foundation in Python, enabling you to develop and maintain automated solutions that can streamline operations and improve efficiency.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models, often using Python for tasks such as data preparation, model training, and evaluation. This course will provide you with a strong foundation in Python, enabling you to build and deploy machine learning solutions that can solve complex business problems.
IT Administrator
IT Administrators are responsible for managing and maintaining IT systems and infrastructure, often using Python for tasks such as system monitoring, troubleshooting, and automation. This course will provide you with a strong foundation in Python, enabling you to automate administrative tasks, improve system performance, and ensure the smooth operation of IT systems.
Cloud Engineer
Cloud Engineers are responsible for designing, building, and maintaining cloud-based solutions, often using Python for tasks such as infrastructure automation, data management, and application deployment. This course will provide you with a strong foundation in Python, enabling you to develop and manage cloud-based solutions that are scalable, reliable, and cost-effective.
Data Scientist
Data Scientists are responsible for extracting insights from data, often using Python for tasks such as data analysis, modeling, and visualization. This course will provide you with a strong foundation in Python, enabling you to analyze data more effectively, develop predictive models, and communicate insights clearly.
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems and networks, often using Python for tasks such as system monitoring, troubleshooting, and automation. This course will provide you with a strong foundation in Python, enabling you to automate administrative tasks, improve system performance, and ensure the smooth operation of computer systems.
Technical Support Analyst
Technical Support Analysts are responsible for providing technical support to users, often using Python for tasks such as troubleshooting, scripting, and documentation. This course will provide you with a strong foundation in Python, enabling you to automate support tasks, improve troubleshooting efficiency, and provide more effective support to users.
Database Administrator
Database Administrators are responsible for managing and maintaining databases, often using Python for tasks such as data backup, recovery, and performance tuning. This course will provide you with a strong foundation in Python, enabling you to automate database administration tasks, improve performance, and ensure the integrity of your databases.
Web Developer
Web Developers are responsible for designing and developing websites and web applications, often using Python for tasks such as back-end development, data processing, and server-side scripting. This course will provide you with a strong foundation in Python, enabling you to develop dynamic and interactive web applications that meet the needs of your users.
Project Manager
Project Managers are responsible for planning, executing, and controlling projects, often using Python for tasks such as project management, resource allocation, and risk assessment. This course will provide you with a strong foundation in Python, enabling you to automate project management tasks, improve efficiency, and ensure the successful completion of your projects.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations, often using Python for tasks such as data analysis, modeling, and reporting. This course will provide you with a strong foundation in Python, enabling you to analyze financial data more effectively, develop financial models, and communicate insights clearly.

Reading list

We've selected ten 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 2.7 Scripting for System Administrators.
Provides a comprehensive introduction to Python, covering basic concepts and practical applications such as web scraping, data analysis, and automating tasks.
Offers a concise and practical guide to Python, focusing on project-based learning and covering essential concepts like data structures, functions, and object-oriented programming.
Serves as a valuable reference tool, providing practical solutions and recipes for common Python tasks and challenges.
Provides a concise and portable reference for Python syntax, libraries, and tools.
Serves as a comprehensive and updated reference for Python, covering the latest language features and best practices.
Focuses on data science applications in Python, covering topics such as data manipulation, visualization, and machine learning.
Provides a more theoretical approach to Python, suitable for those interested in the foundations of computer science.

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