Course Overview
The purpose of these walk-throughs is to give mechanical engineers a vision of how they can use Python in their own area of expertise and understand the scope of what is possible, whether for business or academia. As you walk through the showcase projects in this series you’ll also learn some of the different modes of writing and using python in an engineering environment. This program is designed in such a way that on every upcoming week one module is uploaded.
The importance of software in the modern automotive industry is paramount and growing. It is one of the primary innovation drivers today. Still, complex computerized automotive systems are built using mostly either non-state state-of-the-art or narrowly specialized programming languages and tools which are not able to support all the combined needs of automotive software development.
Python is perceived to be easy to learn, it has a number of books describing the way it works, and they are usually observably big. In comparison, a book on C++ is usually longer and can be subjectively harder to understand: unrestricted memory operations, complicated templates, diamond inheritance, etc. Python appears to be the most practical of all the languages compared. Python comes in handy for solving many practical problems.
Who is this program for?
The program is designed for students or professionals who are:
- Office workers, students, small/home business workers, and administrators would want to improve their productivity.
- Aspiring software engineers who want to add skills to their programming toolbelt.
- Computer users who have heard the “learn to code” message, but want practical reasons to learn to program.
- Experienced Python software engineers can skip the first half of the course, but may find the later parts that cover various third-party modules helpful.
- While this course doesn’t cover specific development tools, this course would be useful for QA, developers, and admins who want to learn scripting in Python.
Course Syllabus:
Module 1: Introduction to Python
- Overview of Python Programming
- Setting Up Python: FREE Installation and Setup
- Basic Terminology for Programming Beginners
- Writing Your First Python Program
Module 2: Flow Control and Decision-Making
- Understanding Flow Charts and Control Structures
- If, Else, and Elif Statements
- Working with While and For Loops
- Handling Conditions and Loops in Mechanical Engineering Simulations
Module 3: Functions in Python
- Using Built-In Python Functions
- Writing Your Own Functions
- Understanding Global and Local Scopes
- Error Handling with Try and Except Statements
Module 4: Working with Lists
- List Data Type and Its Applications
- For Loops with Lists, Multiple Assignment, and Augmented Operators
- Methods for Manipulating Lists
- Working with Lists and Strings in Mechanical Engineering Applications
Module 5: Dictionaries and Strings
- Understanding Dictionary Data Types
- Advanced String Syntax and String Methods
- Formatting Strings for Engineering Reports
- Working with Dictionaries for Efficient Data Handling
Module 6: Regular Expressions
- Introduction to Regular Expressions (Regex)
- Using Regex Groups, Pipe Characters, and Repetition Patterns
- Greedy and Non-Greedy Matching in Regex
- Finding Patterns in Data with Regex in Engineering Projects
Who Should Enroll:
This course is ideal for mechanical engineers, students, and professionals who are looking to learn Python and apply it to their work. Whether you’re new to programming or want to enhance your computational skills, this course provides the foundation you need.
Learning Outcomes:
- Master Python programming basics, including flow control, functions, and error handling.
- Work with data types such as lists, dictionaries, and strings for engineering solutions.
- Apply Python to automate tasks and solve complex mechanical engineering problems.
- Learn to use regular expressions for data analysis in engineering projects.
Certification:
Upon successful completion, participants will receive a Certification in Python for Mechanical Engineering, validating their proficiency in using Python to enhance mechanical engineering tasks.
