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Trusted teacher
This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since April 2021
Instructor since April 2021
CAPL Programming in Step by Step - Vector CANoe Tool
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From 34.37 € /h
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What you'll learn
- Basics of CAPL Programming
- CAPL Keywords, Data types, Operators, Difference and Common between C and CAPL
- Declaration, Initialization (Timers, CAN Messages, Signals)
- CAPL predefined functions and how to create a new function with CAPL
- Environment variable and Panel functions (with Panel Designer)
- Physical value, Raw value, Message selectors
- Event in CAPL, File IO & other CAPL function groups
Extra information
The teacher has +2 years of experience in the automotive Industry (Electronics & ECUs Programming)
Location
location type icon
Online from Morocco
About Me
State Engineer at Embedded Systems and Digital Services
Level :Bac +5
Spoken Languages: English - French - Arabic - Spanish (Beginner)
Happy to Make you Enjoy Learning and Improving your Skills ™️
Education
Engineering degree at Institut national des postes et télécommunications INPT Rabat,
Previously Studied in the preparation classes (CPGE)
Bac Sc Math A-Mention Very good
Experience / Qualifications
Working as Software Engineer in one of Companies Leader in Automotive Industry.
Worked As Campus Director for Hult Prize Foundation (2019)
Always Ready for New Challenges!
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.
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This course introduces programming concepts from the very beginning using Python (programming language).

Students will learn coding and programming fundamentals starting from basic concepts and progressing step-by-step until they understand functions and structured programming.

The course is designed for complete beginners and focuses on building strong programming foundations through explanation and practical exercises.

Topics covered include:

• Basic programming concepts and problem-solving logic
• Variables and data types
• Input and output operations
• Conditional statements (if, else)
• Loops and iteration structures
• Lists and basic data structures
• String manipulation
• Functions and modular programming
• Writing simple programs from scratch
• Introduction to coding logic and algorithmic thinking

The teaching method combines theoretical explanation with hands-on coding practice to help students gain confidence in programming.
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