Learn fundamental concepts like control flow, loops, data structures, functions, file I/O, regular expressions, parsing JSON, and debugging. This course is based on Python 3 and RHEL 9.

Overview

Python 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 Red Hat 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.

This course is based on Python 3 and RHEL 9.0.

Skills Covered

  • 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.

Prerequisites

  • There are no prerequisites for this course.

Target 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

Course Curriculum

Module 1: An Overview of Python 3

  • Introduction to Python and setting up the developer environment

Module 2: Basic Python Syntax

  • Explore the basic syntax and semantics of Python

Module 3: Language Components

  • Understand the basic control flow features and operators

Module 4: Collections

  • Write programs that manipulate compound data using lists, sets, tuples and dictionaries

Module 5: Functions

  • Decompose your programs into composable functions

Module 6: Modules

  • Organize your code using Modules for flexibility and reuse

Module 7: Classes in Python

  • Explore Object Oriented Programming (OOP) with classes and objects

Module 8: Exceptions

  • Handle runtime errors using Exceptions

Module 9: Input and Output

  • Implement programs that read and write files

Module 10: Data Structures

  • Use advanced data structures like generators and comprehensions to reduce boilerplate code

Module 11: Regular Expressions

  • Use powerful regular expressions to manipulate textual data

Module 12: Parsing JSON

  • Read and write JSON data

Module 13: Debugging

  • Debug Python programs using the Python debugger (pdb)

Dates & Locations

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Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

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.

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 functions

This course is part of the “Red Hat Training Presents” program. The courses in this program provide introductory content to get you started with the technology, and are complementary to other Red Hat Training offerings. This introductory Python course prepares you for:

Why train with Trainocate

Red Hat official training courses delivered by Trainocate Malaysia teaches you the fundamentals of each Red Hat technologies, with practical use cases and hands-on labs designed to help you use the products successfully. By certifying those skills, you prove what you know and can do and validate your knowledge to the market or an employer.

You can get further details—including requirements and objectives—about each offering by reviewing the individual descriptions within our full lists of courses and certifications.

An IT professional who becomes a Red Hat Certified System Administrator (RHCSA) is able to perform the core system administration skills required in Red Hat Enterprise Linux environments. The credential is earned after successfully passing the Red Hat Certified System Administrator (RHCSA) exam.

A Red Hat Certified Engineer (RHCE) is an RHCSA who is ready to automate Red Hat Enterprise Linux tasks, integrate Red Hat emerging technologies, and apply automation for efficiency and innovation. To learn more about how the credential is changing to match new needs and fill skills gaps, check out our frequently asked questions about the RHCE program.

Depending on the course or certification, we offer a number of learning styles for you. We conduct classroom, virtual, and on-site training, along with video classroom and online learning formats. Learn more about all the ways to train that Red Hat offers.

Performance-based testing is testing by doing—that is, by having you perform real-world tasks similar to those you must perform in a job role. All Red Hat certification exams are performance-based tests, giving you the hands-on, practical application you need to demonstrate your skills.

Purchasing a bundle that includes an individual course and exam offers a price savings over purchasing the course and exam separately. Just as importantly, however, a bundle allows you to extend the value of an individual course by both testing and validating the skills you’ve learned in the course through hands-on, practical exams.

Organizations hiring employees, contractors, and consultants can look to Red Hat certifications as an input into hiring, assignment, promotion, and other management decisions. Similarly, individuals who earn these certifications benefit and see value by having official, impartial, and proven validation of their skills and knowledge.

For either an individual or a team, you can assess skills and get course recommendations based on role, skills gaps, or the product you’re interested in.

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