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Red Hat Training Presents: Introduction to Python Programming
Course Description
Overview
Python is the language of choice for engineering and operations teams in the domain of AI/ML, data science, scientific computing, system administration scripts, and modern cloud-native microservices development. With its simple and readable syntax, its large and powerful standard library, and enormous ecosystem of third party libraries, Python allows organizations to experiment, prototype and bring solutions to market quickly and efficiently.This course provides a thorough introduction to Python and teaches the syntax, semantics, idioms, tools and libraries to implement Python programs.
Course description
Python is a popular programming language used by system administrators, data scientists, and developers to create web applications, custom Red Hat Ansible Automation modules, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches fundamental concepts like control flow, loops, data structures, functions, file I/O, regular expressions, parsing JSON, and debugging.
Objectives
- Quickly prototype and experiment with using Pythons easy to read syntax, dynamic typing and powerful data types
- Read and write files and JSON data
- Structure large programs using modules and Object Oriented Programming
- Handle errors using Exceptions and troubleshoot applications using the Python debugger
- Manipulate text data using powerful regular expressions and the standard library String functions
- Basics of Python syntax, functions and data types
- How to debug Python scripts using the Python debugger (pdb)
- Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
- Learn Object-oriented programming in Python and Exception Handling
- How to read and write files in Python and parse JSON data
- Use powerful regular expressions in Python to manipulate text
- How to effectively structure large Python programs using modules and namespaces
- How to use third-party libraries using the pip CLI tool.
Audience
- System administrators and DevOps personnel who want to use Python to automate operating system tasks
- Developers from other programming languages who want to learn Python for writing applications
- AI/ML, data scientists, and engineers who want to use Python for data analysis and machine learning
Prerequisites
-
Prerequisites for this course
- There are no prerequisites for this course.
- Internet access is required.
- A cloud-based RHEL workstation will be provided. Optionally, students can install Python on their own workstation and run lab exercises locally, however Red Hat will not troubleshoot local environment issues.
Topics
- Introduction to Python and setting up the developer environment
- Explore the basic syntax and semantics of Python
- Understand the basic control flow features and operators
- Write programs that manipulate compound data using lists, sets, tuples and dictionaries
- Decompose your programs into composable functions
- Organize your code using Modules for flexibility and reuse
- Explore Object Oriented Programming (OOP) with classes and objects
- Handle runtime errors using Exceptions
- Implement programs that read and write files
- Use advanced data structures like generators and comprehensions to reduce boilerplate code
- Use powerful regular expressions to manipulate textual data
- Read and write JSON data
- Debug Python programs using the Python debugger (pdb)
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
This is a Red Hat Self-paced subscription; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available.
- Students will receive an access code within 1-3 business days.
- Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.
The Term of a Self-paced Subscription is ninety (90) days from the start date selected at the time of order. While Client may not reschedule the start date of a Self-paced subscription, the start date may be scheduled up to ninety (90) days after the effective date of purchase, if agreed in writing.
Interruption of service shall not be cause to modify the Term of the subscription. Any adjustment to the Term of the subscription will be at the sole discretion of Red Hat.
Right of cancellation by Red Hat: If the Named Participant or Client violates the terms of use of a Self-paced subscription, such as by allowing multiple users access to a single Named Participant’s materials, Red Hat may cancel a Self-paced subscription, prior to its expiration, without refund.
Self-paced Subscription Renewals: A Self-paced Subscription may be renewed, upon mutual agreement of the Client and Red Hat, for successive ninety (90) day Terms. Renewal of the Subscription will be at the list price for the Subscription, at the time of renewal, unless otherwise approved by Red Hat or a Red Hat Authorized Reseller Partner.
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