AD141RHRed HatRH-AD1411<p><strong>Impact on the organization</strong></p> <p>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.</p> <p>This course provides a thorough introduction to Python and teaches the syntax, semantics, idioms, tools and libraries to implement Python programs.</p> <p><strong>Impact of this training</strong></p> <p>As a result of attending this course, you will be able to program in Python. You will be able to achieve this through learning and demonstrating the following skills:</p> <ul> <li>Quickly prototype and experiment with using Pythons easy to read syntax, dynamic typing and powerful data types</li><li>Read and write files and JSON data</li><li>Structure large programs using modules and Object Oriented Programming</li><li>Handle errors using Exceptions and troubleshoot applications using the Python debugger</li><li>Manipulate text data using powerful regular expressions and the standard library String functions</li></ul><p>There are no prerequisites for this course.</p><ul> <li>System administrators and DevOps personnel who want to use Python to automate operating system tasks</li><li>Developers from other programming languages who want to learn Python for writing applications</li><li>AI/ML, data scientists, and engineers who want to use Python for data analysis and machine learning</li></ul><p><strong>Python programming for beginners</strong></p> <p>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. </p> <p><strong>Course content summary</strong></p> <ul> <li>Basics of Python syntax, functions and data types</li><li>How to debug Python scripts using the Python debugger (pdb)</li><li>Use Python data structures like dictionaries, sets, tuples and lists to handle compound data</li><li>Learn Object-oriented programming in Python and Exception Handling</li><li>How to read and write files in Python and parse JSON data</li><li>Use powerful regular expressions in Python to manipulate text</li><li>How to effectively structure large Python programs using modules and namespaces</li><li>How to use third-party libraries using the pip CLI tool.</li></ul><p><strong>An Overview of Python 3</strong><br/> Introduction to Python and setting up the developer environment </p> <p><strong>Basic Python Syntax</strong><br/> Explore the basic syntax and semantics of Python</p> <p><strong>Language Components</strong><br/> Understand the basic control flow features and operators</p> <p><strong>Collections</strong><br/> Write programs that manipulate compound data using lists, sets, tuples and dictionaries</p> <p><strong>Functions</strong><br/> Decompose your programs into composable functions</p> <p><strong>Modules</strong><br/> Organize your code using Modules for flexibility and reuse</p> <p><strong>Classes in Python</strong><br/> Explore Object Oriented Programming (OOP) with classes and objects</p> <p><strong>Exceptions</strong><br/> Handle runtime errors using Exceptions</p> <p><strong>Input and Output</strong><br/> Implement programs that read and write files</p> <p><strong>Data Structures</strong><br/> Use advanced data structures like generators and comprehensions to reduce boilerplate code</p> <p><strong>Regular Expressions</strong><br/> Use powerful regular expressions to manipulate textual data</p> <p><strong>Parsing JSON</strong><br/> Read and write JSON data</p> <p><strong>Debugging</strong><br/> Debug Python programs using the Python debugger (pdb)</p>Impact on the organization 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. Impact of this training As a result of attending this course, you will be able to program in Python. You will be able to achieve this through learning and demonstrating the following skills: - 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 functionsThere are no prerequisites for this course.- 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 learningPython programming for beginners 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. Course content summary - 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.An Overview of Python 3 Introduction to Python and setting up the developer environment Basic Python Syntax Explore the basic syntax and semantics of Python Language Components Understand the basic control flow features and operators Collections Write programs that manipulate compound data using lists, sets, tuples and dictionaries Functions Decompose your programs into composable functions Modules Organize your code using Modules for flexibility and reuse Classes in Python Explore Object Oriented Programming (OOP) with classes and objects Exceptions Handle runtime errors using Exceptions Input and Output Implement programs that read and write files Data Structures Use advanced data structures like generators and comprehensions to reduce boilerplate code Regular Expressions Use powerful regular expressions to manipulate textual data Parsing JSON Read and write JSON data Debugging Debug Python programs using the Python debugger (pdb)4 days1660.002560.002560.001920.002000.002560.002120.002560.002560.00