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Ed Freitas

Leverage the power of Python. This course will teach you the essential Python skills and knowledge needed to automate IT ops and sysadmin tasks.

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Leverage the power of Python. This course will teach you the essential Python skills and knowledge needed to automate IT ops and sysadmin tasks.

Discover the transformative potential of Python in streamlining IT operations and system administration, In this course, Introduction to Python for IT Pros and Sysadmins, you'll learn to leverage the power of Python to streamline your IT operations and system administration tasks. First, you'll explore the basics of Python programming, even if you have no prior coding experience. Next, you'll discover how Python can be used to automate common IT tasks, such as interacting with the operating system, network programming, and working with APIs. Finally, you'll learn how to extract and analyze data from websites, manage databases, and build automation scripts tailored to your specific needs. When you're finished with this course, you'll have the skills and knowledge of Python required to automate tasks, enhance productivity, and improve efficiency in your IT operations and system administration.

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What's inside

Syllabus

Course Overview
Introduction to Python Basics
Python Scripts for IT Ops and Sysadmin

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores the transformative potential of Python for streamlining IT operations and system administration, which is highly relevant to IT professionals and system administrators
Taught by Ed Freitas, an industry expert recognized for their work in IT operations and system administration
Develops the essential Python skills and knowledge needed to automate IT ops and sysadmin tasks, which are core skills for IT professionals and system administrators
Covers topics such as interacting with the operating system, network programming, and working with APIs, which are highly relevant to IT operations and system administration
Teaches how to extract and analyze data from websites, manage databases, and build automation scripts, which are valuable skills for IT professionals and system administrators

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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 Introduction to Python for IT Pros and Sysadmins with these activities:
Read 'Automate the Boring Stuff with Python'
Gain a comprehensive understanding of Python programming and its practical applications, building a solid foundation for automating IT tasks and enhancing system administration skills.
Show steps
  • Obtain a copy of the book
  • Read through the book, focusing on chapters relevant to IT automation
  • Apply the concepts and techniques to your own IT projects
Collect resources on Python for IT ops
Gather and organize valuable resources, such as code snippets, documentation, and articles, to support your learning journey in Python for IT operations and system administration.
Show steps
  • Create a central repository for storing resources
  • Search for and collect relevant materials from various online sources
  • Categorize and organize the resources for easy reference
Follow Python tutorials
Seek additional guidance and insights by following online tutorials tailored to IT automation and system administration tasks using Python.
Browse courses on Skill Development
Show steps
  • Identify reputable sources for Python tutorials
  • Choose tutorials that cover specific topics of interest or areas where you need improvement
  • Follow the tutorials step-by-step and practice the concepts
Three other activities
Expand to see all activities and additional details
Show all six activities
Solve Python coding challenges
Engage in regular practice to strengthen your Python programming skills and reinforce concepts covered in the course.
Browse courses on Python Programming
Show steps
  • Find online coding challenges or platforms
  • Select challenges that align with the topics covered in the course
  • Solve the challenges and review your solutions
Build an IT automation project
Develop a practical project to apply your knowledge of Python in a real-world IT environment, solidifying your understanding of the course material.
Browse courses on IT Automation
Show steps
  • Identify an IT task that needs automation
  • Design and develop a Python script to automate the task
  • Test and refine your script
  • Deploy your script and evaluate its effectiveness
Contribute to open-source IT automation projects
Engage in real-world IT automation projects by contributing to open-source initiatives, gaining valuable practical experience and solidifying your skills.
Browse courses on Open Source
Show steps
  • Identify open-source projects related to IT automation
  • Review the project documentation and codebase
  • Identify areas where you can contribute
  • Submit your contributions and collaborate with the project community

Career center

Learners who complete Introduction to Python for IT Pros and Sysadmins will develop knowledge and skills that may be useful to these careers:
Network Engineer
A Network Engineer designs, implements, and maintains computer networks. They ensure that networks run smoothly and efficiently, and they troubleshoot and resolve network problems. This course can help you build a foundation in Python, which is a valuable skill for Network Engineers. Python can be used to automate network tasks, such as configuring routers and switches, and monitoring network traffic. Additionally, Python can be used to develop network management tools.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with clients to understand their needs, and they develop software solutions that meet those needs. This course can help you build a foundation in Python, which is a valuable skill for Software Engineers. Python is a versatile language that can be used to develop a wide variety of software applications.
Systems Administrator
A Systems Administrator is responsible for the day-to-day operation of computer systems. They install, configure, and maintain hardware and software, and they monitor system performance. This course can help you build a foundation in Python, which is a valuable skill for Systems Administrators. Python can be used to automate system tasks, such as installing software updates, backing up data, and monitoring system performance. Additionally, Python can be used to develop system management tools.
Cloud Engineer
A Cloud Engineer designs, builds, and manages cloud computing systems. They work with clients to understand their needs, and they develop cloud solutions that meet those needs. This course can help you build a foundation in Python, which is a valuable skill for Cloud Engineers. Python can be used to automate cloud tasks, such as provisioning cloud resources, managing cloud infrastructure, and monitoring cloud performance.
Security Engineer
A Security Engineer is responsible for the security of an organization's IT systems and data. They identify and mitigate security risks, and they develop and implement security policies and procedures. This course can help you build a foundation in Python, which is a valuable skill for Security Engineers. Python can be used to automate security tasks, such as scanning for vulnerabilities, detecting malware, and responding to security incidents.
IT Manager
An IT Manager is responsible for the overall operation of an organization's IT department. They plan, implement, and manage IT systems and services, and they ensure that IT systems are aligned with the organization's business goals. This course can help you build a foundation in Python, which is a valuable skill for IT Managers. Python can be used to automate IT management tasks, such as managing user accounts, provisioning servers, and monitoring IT systems. Additionally, Python can be used to develop IT management tools.
Business Analyst
A Business Analyst analyzes business needs and develops solutions to improve business processes. They work with stakeholders to understand their needs, and they develop solutions that meet those needs.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. They work to ensure that software is developed and deployed quickly and efficiently. This course can help you build a foundation in Python, which is a valuable skill for DevOps Engineers. Python can be used to automate DevOps tasks, such as building and testing software, and deploying software to production.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course can help you build a foundation in Python, which is a valuable skill for Data Analysts. Python can be used to automate data analysis tasks, such as data cleaning, data transformation, and data visualization. Additionally, Python can be used to develop data analysis tools.
Systems Analyst
A Systems Analyst analyzes business needs and develops solutions to improve business processes. They work with stakeholders to understand their needs, and they develop solutions that meet those needs.
Database Administrator
A Database Administrator is responsible for the maintenance and performance of an organization's databases. They ensure that databases are available, reliable, and secure.
Web Developer
A Web Developer designs, develops, and maintains websites. They work with clients to understand their needs, and they develop websites that meet those needs.
Project Manager
A Project Manager plans, executes, and closes projects. They work with stakeholders to define project goals and objectives, and they develop project plans to achieve those goals.
Data Scientist
A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with clients to understand their needs, and they develop machine learning solutions that meet those needs.

Reading list

We've selected 13 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 for IT Pros and Sysadmins .
Provides a comprehensive overview of Python for IT professionals. It covers the basics of Python programming, as well as more advanced topics such as data analysis, web scraping, and system administration. It is an excellent resource for anyone who wants to learn how to use Python to automate tasks and improve their productivity.
Fast-paced introduction to Python. It covers a wide range of topics, including data analysis, web scraping, and machine learning. It is an excellent resource for anyone who wants to learn the basics of Python quickly and easily.
Practical guide to using Python for automation. It covers a wide range of topics, including web scraping, data analysis, and system administration. It is an excellent resource for anyone who wants to learn how to use Python to automate tasks and improve their productivity.
Comprehensive guide to using Python for data analysis. It covers a wide range of topics, including data cleaning, data analysis, and data visualization. It is an excellent resource for anyone who wants to learn how to use Python to analyze data and make informed decisions.
Comprehensive guide to using Python for machine learning. It covers a wide range of topics, including data preparation, model selection, and model evaluation. It is an excellent resource for anyone who wants to learn how to use Python to build and train machine learning models.
Comprehensive guide to using Python for natural language processing. It covers a wide range of topics, including text preprocessing, text analysis, and text generation. It is an excellent resource for anyone who wants to learn how to use Python to process and analyze text data.
Comprehensive guide to computer networking. It covers a wide range of topics, including network architecture, network protocols, and network security. It is an excellent resource for anyone who wants to learn the basics of computer networking.
Comprehensive guide to database systems. It covers a wide range of topics, including database design, database implementation, and database administration. It is an excellent resource for anyone who wants to learn the basics of database systems.
Comprehensive guide to web development with Django. It covers a wide range of topics, including Django architecture, Django development, and Django deployment. It is an excellent resource for anyone who wants to learn how to use Django to build and deploy web applications.
Practical guide to using Python for machine learning. It covers a wide range of topics, including data preparation, model selection, and model evaluation. It is an excellent resource for anyone who wants to learn how to use Python to build and train machine learning models.
Great introduction to Python for beginners. It uses a simple and easy-to-follow approach to teaching Python, which makes it ideal for anyone who wants to learn the basics of Python quickly and easily.

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