Fundamentals of Algorithms and Programming in Python

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From 31.27 £ /h

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code.
No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.

Location

Online from France

About Me

My name is a computer engineer, passionate about teaching. Skilled in algorithms and Python, I am committed to sharing my knowledge in a clear and accessible manner. Having already trained several people, I have developed a real passion for teaching and I thrive on sharing knowledge. My goal is to make learning stimulating and practical for students.

Education

Computer Engineering Diploma, Private Higher School of Engineering and Telecommunications in Tunisia 2021
computer science baccalaureate in 2016

Experience / Qualifications

5 years of experience in IT, algorithm and python trainer
trainer in other IT fields
speaks 3 languages French English Arabic

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

French

English

Arabic

Skills

Algorithms

Python

Computer science

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Adam

4.81

(26)

I offer high-level support in computer science, algorithms, and programming, specifically designed for university students, engineering students, or adults retraining for new careers. My goal is to transform abstract coding concepts into logical, concrete solutions directly applicable to your academic projects and exams.

This teaching is based on a personalized pedagogy, which is precisely tailored to the specific needs of each student and the requirements of their curriculum.

Skills and areas of support:

• Languages & Tools: Proficiency in Python, Java, object-oriented programming (OOP) and databases (SQL).

• Algorithms & Logic: Design of algorithms, data structures and solving complex problems.

• Modern Methods & AI: Learning to intelligently use programming assistants and AI tools (like ChatGPT) to optimize workflow, understand errors, and code more efficiently.

• Practical support: Assistance with university projects, practical work (TP) and programming assignments.

A digital and interactive methodology:
The courses are conducted entirely online via an interactive platform. I make extensive use of modern tools such as screen sharing and real-time problem-solving with feedback, ensuring active learning and rapid assimilation of best development practices. The approach is practice-oriented to develop immediately applicable skills.

Formats of working sessions:

• Intensive format (60 minutes): Ideal for resolving a blocking bug, conducting a specific code review, or validating a precise algorithmic concept.

• In-depth format (90 minutes): Recommended for structuring a complex academic project, assimilating a new programming paradigm, or preparing for a technical exam.

Whether you are a beginner looking to understand the basics of code or an advanced student aiming for excellence in your programming projects, this tailored support will allow you to gain autonomy and performance.

Feel free to contact me to schedule your first session and structure your progress.

Robert

4.81

(26)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Said

4.81

(26)

This course is designed to introduce you to computer science and programming. You will learn basic computer science concepts, including algorithms, data structures, and programming paradigms. You will also learn how to write simple programs using Python or C, popular programming languages.

Throughout the course, you will work on several projects, including creating a game or program that solves math problems, to help you apply what you have learned. You will also have access to a variety of resources, including online tutorials, discussion forums, and programming blogs, to deepen your understanding of the course material.

Amin

4.81

(26)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Salah

4.81

(26)

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.

Baia

4.81

(26)

Want to learn Revit and AutoCAD for engineering and BIM projects?

This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting.

No previous experience is required.

Students can also receive help with:
- university assignments
- BIM and Revit projects
- technical drawings
- portfolio development
- internship preparation

Lessons are adapted to the student’s level and learning goals.

Raouf

4.81

(26)

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Laith

4.81

(26)

Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.

Nicolas

4.81

(26)

I am a dynamic and demanding teacher who gives private lessons in Physics-Chemistry as well as Mathematics.

I graduated from teaching seven years ago, after a masters in physical sciences with honors, and I teach in college and high school since.
I have also been preparing students for the Baccalaureate Science for many years, all of whom have been awarded very good honors.
I also prepare my students for different exams (Matu, Bac, preparation for EPFL, etc...)

I make sure to rework the basics so that the student can progress quickly. It is important to me that my students acquire a solid foundation of knowledge.
I also give effective work methods that will allow him to progress much more quickly and so he can regain self-confidence.

I can travel to the student's home or also conduct the lesson via Zoom/Google Meet.

Martin

4.81

(26)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Linus

4.81

(26)

Python for Beginners – Personal and Practical Online Lessons
Want to learn Python in a clear and structured way?
I offer online lessons tailored to your level, pace, and learning goals.
Whether you're an absolute beginner or already have some basic knowledge, we'll work step by step to build a strong programming foundation.
What will we cover?
Depending on your starting level, we can work on:
• Variables and data types
• Input and output
• If/else structures
• For and while loops
• Working with 1D and 2D lists
• Writing and using functions
• Working with files
• Basic error handling
• Programmatic thinking and problem solving
The content of the lessons is tailored to your goals, for example, for school, self-study, or exam preparation.
Lesson Structure
Each lesson consists of a combination of:
• Code analysis of sample programs
• Theory with concrete code examples
• Explanation of the underlying logic
• Exercises for independent practice
The goal is not just to learn what to type, but to understand why the code works and how to arrive at a solution yourself.
Who is this suitable for?
• Absolute beginners
• Students taking Python at school
• People who want to start programming
• Anyone looking for structured guidance
What can you expect?
• Personal guidance
• Explanation at your own pace
• Practical assignments
• Focus on understanding instead of speed
Not a fixed, standard course, but targeted guidance tailored to your learning process.

Léo

4.81

(26)

• Teaching methodology and techniques: I favour a personalized approach, adapting the courses according to the profile and academic background of each student.
• Typical course structure: tutoring in economics, econometrics, statistics and probability, financial mathematics, trading, investment, or political economy. Courses can take place at home, via videoconference, or at a pre-selected location, ideally quiet, free, and conducive to learning.
• Specifics as a teacher: I offer support throughout the school year, with free corrections of exercises outside of class, regular availability, and the guarantee of being accessible until the end of the year, subject to the general conditions of Superprof.
• Target audience: all levels, regardless of diploma, class or specific characteristics.
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The path and the method are in there; take a little bit of each.

Holding a degree in mathematics from EPFL, I offer private lessons in Geneva or online.

I graduated from EPFL with a degree in mathematics, having completed all the Bachelor's level courses in this discipline. I have gained significant experience tutoring students from middle school to university level (mathematics and physics). I have also assisted with teaching at EPFL, particularly in specialized courses such as analytic geometry (advanced mathematics course), analysis (first and second year Bachelor's level), and linear algebra (first year Bachelor's level). My in-depth mastery of the theory in these disciplines provides me with the skills and teaching abilities necessary to effectively support high school and university students, helping them understand the theoretical concepts in their courses and apply them practically in their exercises.

Typical course: a quick review (adapted to needs) of the essential concepts of the course, followed by practical exercises and oral role-playing (going to the board, discussion on the physical meaning, etc.), as in a competitive oral exam.

All my lessons are prepared in advance based on the topics covered in class (the student specifies their needs from one session to the next). I also create a handout containing sample exercises illustrating different methods, fully corrected and explained by me.

My commitment to my students' success is absolute. I only prioritize motivated students who are ready to put in the necessary effort to progress.

My main focus is on in-depth understanding and the quality of work. Depending on the student's request, I can also suggest exercises to do between sessions (not mandatory, depending on available time and homework already assigned by their school).

Harrison

4.81

(26)

The intersection of finance and technology is completely powered by code, and Python is the undisputed language of choice for modern fintech. From retail banking systems and payment gateways to automated risk analysis, Python’s robust ecosystem handles billions of dollars daily. I have designed this practical, project-based course to guide you through the foundations of building functional, secure financial software from scratch.

We will bypass abstract coding puzzles and focus entirely on real-world fintech architecture. You will learn how to structure core banking logic, manage transactional data safely, and design clean, reliable user interfaces.

What you will master in this course:

Core Banking Logic: Design object-oriented systems to handle bank accounts, balances, secure user authentication, and transfer logic.

Data Integrity & Security: Learn how to process transactions safely, handle floating-point math accurately for currency, and prevent data corruption.

Fintech Automation: Use Python scripts to automate financial workflows, parse transaction ledgers, and generate clean financial reports.

API Foundations: Understand how modern financial applications talk to other servers to check balances or authorize secure payments.

By the end of this class, you won't just know how to write Python code—you will understand how to think like a fintech engineer and build applications that process financial data with precision and security.

Aashika

4.81

(26)

Python is the powerful programming language. Learning python can be applicable in Artificial intelligence, Data science, Machine learning, Data analytics and so on.
Python can be a beginner-friendly programming language. No matter that you don't have knowledge in Computer programming, Python will be the Game changer of your technical career.
My lessons will be in simple and friendly manner, doubts will be cleared in each session of your subscription. I'll help your Kids to build a game by their own. Be an independent of learning new technology and shine up.
Looking forward to hearing I'm interested from you.

Faheem

4.81

(26)

The cyber security has always kept utmost importance not only as a career or learning subject but the necessity to survive in the digital world. Governments, organizations, small to large businesses and even individuals are frustrated by growing threat landscape and are actively seeking tools and individuals to effectively ensure security of data.

This class is designed keeping in view the contemporary and practical aspects of cybersecurity. Starting from very basic understanding of cyber security, we will learn basics of ethical hacking with practical/ hands on labs. After completing this class, you will have 360 degree understanding of the field and confidence to present yourself as a well skilled cyber security person.