Get started in programming by discovering the basics of algorithms, with a caring and educational engineer!

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From 43 £ /h

This course is for those who want to take their first steps in computer programming. Together, we will discover the fundamentals of programming as well as the main elements that make up an algorithm: variables, conditions, functions, loops, arrays, and more.

All courses are interactive, combining theory and practice. You'll write your first algorithms in pseudo-code, and we'll implement them together using a programming language to ensure you understand and assimilate the various concepts.

The number of courses required to master the material is around ten. This number, however, varies depending on your level and the speed at which you wish to progress.

The courses are accompanied by materials and practical exercises to do at home, to allow you to assimilate the material as best as possible.

Location

Online from Switzerland

About Me

After obtaining my bachelor's degree in business information technology, I have been working for 6 years as a software engineer for a Swiss insurance company. I currently hold the role of Tech-Lead, and I would like to share my experience with other IT enthusiasts to support them in this art. I would describe myself as a people person, with good listening and adaptability skills, always focusing on quality.

Education

2018: Bachelor's degree in IT management, HES-SO Valais
2018 to date: various training courses focused on technologies (java, springboot, bash, DevOps) and leadership

Experience / Qualifications

Qualification: Senior IT Engineer, Tech-lead
Experience: Java, Maven, Spring boot, Docker, JS, VueJS, HTML, CSS, Kubernetes, Gitlab, SVN, BPM, Bash, Linux

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Duration

60 minutes

The class is taught in

French

Russian

English

Skills

Computer programming

Algorithms

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Java for students and future developers – Taught by a passionate and educational Techlead

44 £ /h

During these courses, you'll learn the fundamentals of Java programming and create your first program using an IDE. We'll progress at your own pace, with a theoretical component, practical exercises, and quality support. Resources will be made available after each session to help you better assimilate the material.

Youssef

4.85

(13)

Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

Matías

4.85

(13)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Salah

4.85

(13)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

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.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Roger

4.85

(13)

Are you looking to deepen your knowledge of physics or master advanced techniques in Python programming? This course is designed to help you achieve a level of academic and technical excellence, whether you are a high school student, university student or professional looking to develop your skills.

With an interactive and effective teaching approach, you will benefit from personalized support to overcome obstacles, grasp complex concepts and improve your performance. Whether it is to succeed in difficult exams, high-level competitions or to create powerful applications in Python, this course will provide you with all the tools necessary to achieve your goals.

🎯 Why Choose This Course?
Advanced and Expertise Level: In-depth content and effective methodology to master complex topics in physics and programming.
Personalized Courses: Sessions adapted to your needs, your pace and your level.
Interactive Online Learning: Dynamic online courses with screen sharing and audio interaction for enjoyable and engaging learning.
Concrete Projects and Practical Applications: Development of practical projects to implement theoretical concepts.
Intensive Preparation for Exams and Competitions: Rigorous training with complex exercises and exam simulations to guarantee your success.
Flexibility and Comfort: Learn from home, according to your schedule, without having to travel.

🔬 Advanced Physics – From High School to University
This module offers a complete and in-depth program to prepare you for demanding secondary school exams, preparatory classes and scientific university courses:

1. Secondary Physics (High School and Preparatory Classes)
⚙️ Classical Mechanics: Kinematics, dynamics, Newton's laws, energy and work, oscillations.
🌊 Waves and Vibrations: Wave propagation, interference, diffraction, acoustics.
⚡ Electricity and Magnetism: Electric circuits, electrostatics, magnetostatics, electromagnetic induction.
🔦 Optics: Geometric optics (lenses, mirrors), wave optics (interference, diffraction).
🌡️ Thermodynamics: Laws of thermodynamics, thermodynamic cycles, entropy, changes of state.

2. University and Advanced Physics
🔄 Analytical Mechanics: Lagrangian, Hamiltonian, and generalized coordinates.
🌐 Advanced Electromagnetism: Maxwell's equations and the propagation of electromagnetic waves.
🧪 Quantum Physics: The postulates of quantum mechanics, the wave function, and the Schrödinger equation.
☢️ Nuclear and Particle Physics: The structure of the nucleus, radioactivity, and fundamental interactions.
🌌 Special Relativity: Lorentz transformations, time dilation, and length contraction.

3. Intensive Preparation for Exams and Competitions
📘 Scientific methodology: Learn to analyze statements, structure responses and write clearly and precisely.
📝 Application exercises and past papers: Intensive training to master the concepts and pass your exams.
🔎 Solve complex problems with detailed explanations and effective strategies.
⏰ Time management: Practical tips to improve your time management during exams.

🐍 Advanced Python Programming – Focused on Efficiency
This module will teach you how to program efficiently and effectively in Python, with an emphasis on best practices and advanced techniques:

1. Mastering Advanced Concepts in Python
🔠 Advanced Syntax and Best Practices: Deepening of Python concepts.
📦 Object-Oriented Programming (OOP): Abstract classes, interfaces, and design patterns in Python.
🔄 Functional Programming: Using lambda, map, filter, reduce, generators and iterators.
⚡ Asynchronous Programming: Implementing asyncio for fast and responsive applications.
🧪 Unit Testing and Code Quality: Use of pytest, code coverage, and CI/CD.

2. Performance Optimization
🚀 Algorithm Optimization: Analysis of algorithmic complexity and use of efficient data structures.
⚙️ Profiling and Debugging: Performance evaluation with cProfile and code improvement.
🔒 Security and Robustness: Writing secure code and handling exceptions appropriately.
3. Practical Projects and Advanced Applications
🌐 Web Applications: Building high-performance web applications using Flask and FastAPI.
📊 Data Science and Machine Learning: Exploitation of Pandas, NumPy, Scikit-learn and TensorFlow.
🕸️ Advanced Web Scraping: Complex data extraction using BeautifulSoup and Selenium.
🤖 Automation and Efficient Scripts: Automation of tasks and development of efficient scripts.

🧑‍🏫 Methodology and Pedagogical Approach:
Learning by doing: Each theoretical concept is directly implemented through practical exercises.
Interactive Online Teaching: Using audio and screen sharing for seamless communication and dynamic learning.
Personalized monitoring: Regular support to assess your progress and answer all your questions.
Concrete projects: Development of complete projects to apply your programming skills.
Motivation and Confidence: A positive and encouraging approach to build your confidence in your abilities.

🎓 For whom?
This course is intended for:

- High school and preparatory class students who aspire to academic excellence.
- University students in science and computer science wishing to deepen their knowledge.
- Candidates for scientific competitions who are preparing for physics and programming tests.
- Developers looking to improve their advanced Python skills.
- Researchers and engineers who use Python for complex scientific applications.

🔔 Register now! Don't miss the opportunity to master advanced physics while developing skills in optimized and efficient Python. Join our program "🚀 Advanced Courses - 🔬 Physics from High School to University & 🐍 Advanced Python Programming Focused on Efficiency!" and progress at your own pace with confidence and motivation!

Amine

4.85

(13)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Hamza

4.85

(13)

Discover the power of Python with an experienced computer trainer!
I'm Hamza, a passionate developer and seasoned mentor with extensive experience teaching programming. My unique teaching approach will help you quickly acquire solid Python skills while discovering its real-world applications in the professional world.
What you will learn:

Python Fundamentals (variables, control structures, functions)
Advanced Object-Oriented Programming
Data Analysis and Visualization with Pandas and Matplotlib
Developing graphical interfaces with PyQt
Practical projects inspired by real business cases

Why choose me?

Over 10 years of experience in training and mentoring
Teaching method adapted to all levels
Hands-on approach based on concrete projects
Contagious passion for code and technological innovation

Whether you're a beginner looking to get started in programming or a professional looking to improve your skills, this course will open up exciting new opportunities in the world of software development and data science.
Join me for a captivating journey into the heart of the most versatile and in-demand programming language on the market!
Book now and take the first step towards mastering Python. Your career as a Python developer starts here!

Baia

4.85

(13)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Farouk

4.85

(13)

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Azhar

4.85

(13)

Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects

Aya

4.85

(13)

You have a kid that's interested in programming?? Set up a class for him with me. Aya a software engineer turned teacher. I was a software engineer for 3 years before I joined the teaching industry and I currently teach computer science in Chichester College in United Kingdom. I want to advocate for computer science and help familiarise kids at a young age with programming in Python.

Send me a message let's chat about what you want your kid to learn and what I can offer! :)

Khalil

4.85

(13)

Learn Python by building something you’ll actually use

Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required.

Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence.

Where you can go next

AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works.
Machine learning: Train a simple model on a real dataset and see how well it predicts.
Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace.

Your instructor

I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone.

Ready to start?

Send me a quick message and let's do your first coding project together.

Hugo

4.85

(13)

Is your code not doing what you want it to? Are you learning Python but just copying and pasting without really understanding?

Loops, functions, algorithms, data structures... Behind these intimidating concepts lie simple, visual ideas. My goal: to help you understand them, not just apply them.

These tools may seem difficult at first, but they make perfect sense once you visualize them in practice: seeing a loop run, a variable change, a list fill up. That’s the level I’d like to help you reach, using diagrams, analogies, and programs we’ll build together, line by line.

I offer computer science lessons (Python and other languages), from middle school through college, to help you:
- overcome obstacles and regain confidence,
- prepare for your exams (Brevet, Baccalaureate, midterms, entrance exams, NSI),
- make progress on your projects: lab assignments, scripts, games, digital projects...

Each lesson is tailored to your needs: we’ll go over the tricky parts, code together, and I’ll teach you methods to become self-sufficient.

Message me to schedule your first lesson: let’s make the abstract clear!

George

4.85

(13)

**Learn Programming, Python, Artificial Intelligence & Data Analysis with Practical Projects!**

Are you looking to learn programming from scratch, improve your coding skills, or prepare for a future career in technology?

I'm George Zakary, a Computer and Data Science graduate from Alexandria University and a programming instructor with hands-on teaching experience in Python, Data Analysis, Cybersecurity, and Backend Development.

I offer personalized, interactive online lessons for students across Saudi Arabia, the UAE, Kuwait, Qatar, and other Gulf countries.

**What can you learn with me?**

- **Python Programming:** From basic concepts to functions, loops, data structures, and Object-Oriented Programming (OOP).
- **Artificial Intelligence:** Introduction to AI, Machine Learning fundamentals, and practical applications.
- **Data Analysis:** Learn to work with data using Python, Pandas, and practical examples.
- **AI Automation:** Explore automation concepts and tools such as n8n.
- **Backend Development:** Build web applications using Python and Flask.
- **Cybersecurity Fundamentals:** Understand essential security concepts and safe computing practices.

**Why choose my lessons?**

My teaching approach focuses on simplifying complex technical concepts through real-world examples, live coding, practical exercises, and hands-on projects.

Every lesson is adapted to your age, experience, learning pace, and personal goals.

Whether you are a complete beginner, a school or university student, or a professional looking to develop new technical skills, I will help you learn step by step.

**Lessons are available in Arabic or English, with clear explanations tailored to Arabic-speaking students.**

**للطلاب في السعودية والإمارات والكويت وقطر وجميع دول الخليج:**

أقدم دروس برمجة أونلاين باللغة العربية بأسلوب بسيط وعملي، سواء كنت مبتدئًا تمامًا أو ترغب في تطوير مستواك.

سنتعلم خطوة بخطوة من خلال التطبيق العملي والمشاريع الحقيقية، مع خطة تعليمية تناسب مستواك وهدفك.

**Start your programming journey today!**