Python programming for Automotive

Name: Python programming for Automotive
Rating: 3.7 (61 reviews)

Course on python programming for Automotive Application

Created byThaminmun Ansari S

Last updated 8/2025

English

What you'll learn

Python programming for Automotive Application
Virtual Vehicle network design
Automotive Test Automation using python
Rapid Automotive Software prototype development

Course content

7 sections • 36 lectures • 20h 19m total length

Introduction39:16
Python introduction
Python Module Creation29:21
Learn to create and run Python modules by writing code in text editors (Notepad, IDLE), saving as .py, and executing via command prompt with Python module.py.
Python Module Creation
Python Object types35:44
examine python object types such as numbers, strings, lists, dictionaries, tuples, sets, booleans, and file io, and illustrate with math and random libraries, and introduce sine wave vehicle speed samples.
Check the understanding of Python Object Types
String Object Introduction39:06
Explore Python strings as sequences of characters, learn slicing, concatenation, repetition, and common string methods such as find, replace, upper, split, and strip.
Check your understanding of String Object
List Object Introduction30:40
Explore Python lists as mutable, ordered sequences with mixed data types and boundary checks. Learn indexing, slicing, concatenation and common operations (append, pop, insert, remove, sort, reverse) plus list comprehension.
Check your understanding of list Object
Dictionary Introduction20:11
Learn how Python dictionaries function as mapping types with key-value pairs, demonstrating mutable, updatable signals for automotive CAN databases by mapping ignition status, vehicle speed, and engine speed to numbers.
Check your understanding of Dictionary Object
Tuples Introduction20:00
Learn about tuples in Python, an immutable list used as a fixed lookup table for values like vehicle speeds, with index and count methods and no in-place modification.
Check your understanding of Tuple object
Files Introduction27:13
Explore Python file object types, using open, write, and read to create a csv with 100 random vehicle speed and engine rpm samples, store them in a list, then print.
Check your understanding of Files
Type Casting13:55
Check your understanding of Type Casting
Statements42:57
Check your understanding of Python Statement

Timer Event Handler and Multi threading24:19
Learn to implement periodic and concurrent tasks in Python for automotive network simulation using threading and timers, transmitting and updating CAN packets with vehicle speed signals.
Check your understanding Timer event and Multi threading
CAN Message Exchange between nodes23:09
Learn how to exchange CAN packets between Python software nodes using RabbitMQ as a queuing broker, implementing a producer-consumer model with BCM queues and JSON payloads.
Check your understanding on message exchange between nodes
Baseline Restbus Simulation development in python50:59
Develop a baseline restbus simulation in Python using RabbitMQ exchanges to enable multi-master can bus communication among instrument cluster and engine, brake, sec, and ecm modules.
Check your understanding on Baseline Rest bus simulation using python
GUI Creation Using tkinter18:59
Create a tkinter GUI to adjust the vehicle speed transmitted by the BCM node using a track bar, linking UI controls to CAN signals.
Check your understanding on GUI Creation using tkinter
ECU Simulation - ICM30:05
Check your understadning on ECU Simulation -ICM
ECU Simulation - ACC Control48:34
Create a gui for core switches to send switch requests via CAN signals to the SEC module and display changes on the instrument cluster via ACC driver information messages.
Check your understanding on ECU Simulation - ACC Control
ECU Simulation - ACC States36:59
Explore a Python-based ECU simulation of ACC states: off, standby, and active with two sub-states speed control and time gap control, including on, set, resume and brake switch triggers.
Check your undestanding on ECU Simulation - ACC States
ECU Simulation - ACC Modes - Speed Control and Follow Mode47:31
Simulate adaptive cruise control in Python, turning on ACC, setting speed, and using radar to follow a forward vehicle with time-gap control and braking and throttle adjustments.
Check your understanding on ECU Simulation - ACC Modes - Speed Control and FM
ECU Simulation - Ignition State, ACC acceleration, deceleration and Clearance40:36
Implement real-time ignition state handling in the ECM to drive ACC behavior. Show a GUI for ignition control and simulate acceleration, deceleration, and time gap clearance.
Check your understanding on ECU Simulation - Ignition State, Acceleration etc.,
ECU Simulation - ACC Activation Condition27:40
ECU Simulation - Reaction to a Slow Moving or Stopped Vehicle12:27
Explore ECU simulation of adaptive cruise control reacting to a slow or stopped front vehicle, showcasing standby transitions, driver intervention alerts, and instrument cluster chimes.

Diagnostic Introduction45:37
Diagnostic Service 0x10 implementation18:38
Engineer describes implementing diagnostic session control in a Python tester, building a GUI to send 0x10 session requests (default, programming, extended), and handling single/multi-frame Can TP responses.
Diagnostic Service 0x11 Reset ECU Implementation39:52
This lecture covers diagnostic session control and negative responses using NRC 22 and NRC 12. It also explains ECU reset and hard reset with security access.
Diagnostic Service 0x27 Security Access Implementation - Part 156:42
Implement a seed-and-key security flow for the diagnostic service 0x27 to authenticate testers before ECU memory writes, using a two-byte seed and a two-byte key computed by a shared algorithm.
Diagnostic Service 0x27 Security Access Implementation - Part 241:17
Diagnostic Service 0x3E Tester Present 0x22 Read Data By Identifier35:32
Explain how tester present extends diagnostic sessions beyond five seconds and apply read data by identifier (service 0x22) to fetch memory parameters such as set speed.
Diagnostic Service 0x23 Read Memory by Address Implementation19:59
Explore the read memory by address service 23, which reads data directly from a specified memory address and explains the address and length format identifier.

Introduction26:52
learn how to integrate rabbitmq with the python-can library to simulate can networks across automotive hardware, including a rabbitmq interface, installation from github, and test programs.
BCM and ICM Code migration to Python-can32:58
ECM and ACC Code migration to Python-can21:18
Migrate the ECM and ACC code to the python-can library, declare packets with library methods, and integrate interface code as a library to enable coordinated, diagnostic bus transmissions.

Requirements

Knowledge about Automotive bus systems
Knowledge about commercial network analysis tools
Basic programming knowledge
Strong knowledge in Electronics

Description

Python has become a more adaptable programming language in recent years, with applications in a wide range of fields, including automotive software development. Python's readable nature and ease of use make it ideal for rapid prototyping and development. This is important since the automobile business moves quickly and the need for quick iterations to stay competitive is paramount. NumPy, SciPy, and TensorFlow are just a few of the many libraries and frameworks that Python has to offer. These are helpful for jobs like artificial intelligence, machine learning, and data analysis. These resources can be used to create sophisticated driver assistance. OpenCV and scikit-learn, two of Python's many libraries, are incredibly helpful for designing and testing algorithms that are essential to ADAS features. Python speeds up the creation of intelligent systems, from object identification to lane departure alerts. Python's wide ecosystem and versatility are driving its growing importance in automotive development. Python is a strong suit for applications involving high-level control, data analysis, and machine learning, yet it might not be appropriate for every area of automotive software. this course aim to cover every aspect of using python for automotive applications from the basics like creating virtual vehicle networks, network traffic analysis, ECU test automations etc.

Who this course is for:

Automotive Software programmer
Automotive System Testing Engineer
Automotive Test Application developer
Researcher

Python programming for Automotive

What you'll learn

Explore related topics

Course content

Python Basics10 lectures • 4hr 58min

Automotive Network Simulation11 lectures • 6hr 1min

Network Trasport Protocol Service2 lectures • 1hr 43min

Unified Diagnostic Service (UDS)7 lectures • 4hr 18min

Python-CAN Library Integration3 lectures • 1hr 21min

Autosar CAN Network Management2 lectures • 1hr 58min

Training Material and Support files1 lecture • 1min

Requirements

Description

Who this course is for: