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Python 2.7 Scripting for System Administrators
A Cloud Guru
A Cloud Guru
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/rf6mox/python
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Know what's good ,
what to watch for , and
possible dealbreakers
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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Python 2.7 Scripting for System Administrators.
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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 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
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 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 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 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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/rf6mox/python
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.
Save
Uses a visual and interactive approach to teach Python, making it accessible to beginners and those with little programming experience.
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Serves as a valuable reference tool, providing practical solutions and recipes for common Python tasks and challenges.
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Focuses on idiomatic Python and best practices, helping learners write elegant and efficient code.
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Provides a concise and portable reference for Python syntax, libraries, and tools.
Offers a compact and portable reference for Python syntax and functions.
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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.
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Provides a more theoretical approach to Python, suitable for those interested in the foundations of computer science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rf6mox/python
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Time
135 hours
Level
Advanced
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
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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