Programming Fundamentals for University (Python / C++)

من 317.15 SAR /س

Programming concepts often feel abstract until you put them to work on real problems.
In these classes we dive straight into code writing, testing, and debugging together, so that every new idea is anchored by hands-on practice.

Whether you are learning your very first loops, optimising algorithms for a university assignment, or polishing thesis code, we will adapt the pace and depth to your current level.

معلومات إضافية

Please have a laptop with you, as we will solve many exercises directly on your PC.

المكان

عبر الانترنت من المجر

من أنا؟

I’m a patient, detail-oriented tutor in computer science and mathematics who believes that real understanding comes from clear explanations and practice that mirrors your coursework.

I enjoy working with motivated university students and adult learners who want straight answers, constructive feedback, and a calm, supportive atmosphere.

My aim is that you leave each lesson not just with a solution, but with a way of thinking you can reuse on exams, assignments, and thesis work.

المستوى التعليمي

BSc in Computer Science from Eötvös Loránd University (ELTE), Faculty of Informatics, with a modelling specialization.
I am starting my MSc in Quantitative Finance this September!

الخبرة / المؤهلات

I have over five years of one-to-one tutoring experience with university students across nine countries, helping them pass exams, complete demanding modules, and finish thesis-related code.

السن

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

60 دقيقة

الدرس يدور باللغة

الإنجليزية

مهارات

علوم الكمبيوتر

C - c++

Python

الجاهزية في الأسبوع العادي

(GMT -05:00)

نيويورك

على الانترنت عبر كاميرا ويب

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mathematical Fundamentals for University and High School

372.31 SAR /س

Math concepts often feel abstract until you put them to work on real problems.
In these classes we dive straight into problem solving and will practice together, so that every new idea is anchored by hands-on practice.

Whether you are learning your very first derivates or statistical models for a university assignment, we will adapt the pace and depth to your current level.

إقرأ المزيد

Khalil

4.89

(64)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Oussama

4.89

(64)

Learn to build production-ready web applications from a professional engineer with 3+ years of experience delivering real client projects

What You'll Master:
Frontend: React, Next.js, TypeScript, responsive design, state management
Backend: Node.js, NestJS, REST APIs, authentication (JWT, OAuth), security best practices
Databases: PostgreSQL, MongoDB - proper schema design, queries, optimization
DevOps: Deploy to AWS (EC2, RDS, S3), Docker, CI/CD with GitHub Actions
Integrations: Stripe payments, email automation, file uploads

What Makes This Different:
Work on YOUR project (PFE, portfolio, startup MVP) - not generic tutorials
Learn production debugging - how to fix real errors, not just write code
Get your app deployed LIVE with proper CI/CD and monitoring
GitHub repo ready to show employers with professional commit history

Perfect For:
Students: Ship your projects with professional standards (authentication, deployment, documentation)
Career Switchers: Build 2-3 portfolio projects that get you hired
Junior Devs: Learn what companies actually need (debugging, testing, deployment automation)

What You'll Build:
Full-stack application deployed to AWS
User authentication system (login, OAuth, password reset)
Admin dashboard with real-time data
Payment integration with Stripe
Complete with CI/CD pipeline and monitoring

Bonus: I'll review your resume and help position you for remote developer roles.

Amin

4.89

(64)

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

If you have any further questions, please do not hesitate to contact us.

Brahim

4.89

(64)

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction.

1- Install MongoDB
2- Implement MongoDB
3- Use of documents and collectibles
4 - Leadership Committee
5- Execute CRUD commands (create, read, update, delete) avec mongo shell
6- Type the register in a MongoDB database
7- Reset the base to remonter specific documents depuis mongo shell.
8- Lagrégation
9- Indexing
10- Amending institutions and transactions

Khalid

4.89

(64)

Je propose des cours couvrant différents niveaux en économie et en statistiques. Les matières comprennent l'économie générale, la micro/macroéconomie, la comptabilité nationale, les statistiques descriptives, les inférences statistiques, les techniques de sondage et d'enquêtes, l'économétrie, ainsi que la science des données : prétraitement et apprentissage automatique. J'enseigne également l'utilisation de R et Python pour l'analyse de données.
Je suis titulaire d'une formation en ingénierie statistique et en économie, et je suis actuellement doctorant en économie. J'ai accumulé 13 années d'expérience à la fois dans le secteur public et privé.

Salah

4.89

(64)

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.

Younes

4.89

(64)

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming.

Why choose this Course?

By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code.

You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

Dr.Ibrahim

4.89

(64)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Soufiane

4.89

(64)

Hello to all motivated post-baccalaureate students (computer science degree, BUT, preparatory classes, engineering schools, career change)!
My name is Soufiane, I have a master's degree in Data Science & AI.

Specializing in programming and development, I offer customized private lessons in: Python (basics, OOP, data structures, real-world projects), Java (advanced OOP, interfaces, project management), R (data analysis, packages, visualization), C (pointers, memory, system algorithms), SQL (complex queries, joins, optimization), Databases (MySQL, PostgreSQL, normalization), HTML/CSS (static web, responsive design, best practices), Algorithms & Data Structures (complexity, trees, graphs), Real-world projects (mini-apps, scripts, websites)

Levels: L1/L2/L3 Computer Science, BUT, ATS/TI preparatory classes, Engineering schools (INSA, EPITA, etc.), Career change

Why my courses?
- 100% practical courses: hands-on exercises, projects, live debugging
- Resources provided: OOP worksheets, Java templates, R/C cheat sheets, solved exercises
- Flexible hours: evenings, weekends, holidays
- At home (Cergy, Pontoise, Sarcelles – free < 15 km) or 100% remote (Zoom + screen sharing)
- Invoices issued

Immediate availability – Limited places
Contact me by message to schedule an appointment.
Respond quickly, I'm only taking a maximum of 8 students to guarantee quality!

See you soon to boost your dev skills!

Raouf

4.89

(64)

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

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

4.89

(64)

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.

Malek

4.89

(64)

This course aims to introduce students to the fundamentals of computer science and modern artificial intelligence technologies. It covers essential concepts in programming, algorithms, machine learning, and AI, with both a theoretical and practical approach.

Students will learn to design algorithms, develop programs in C and Python, and implement machine learning models to solve real-world problems. The course emphasizes logic, problem-solving, and the use of modern tools in data science and AI.

Laroussi

4.89

(64)

Séance 1 : Révolutionner sa Rédaction Scientifique avec LaTeX & l'IA
Durée : 2 Heures | Niveau : Débutant | Outils : Overleaf + IA**

Première Heure : Fondations et Environnement Cloud (60 min)

1. Introduction à la Philosophie LaTeX (15 min)

- Le concept "WYSIWYM" :** Expliquer la différence entre Word (*What You See Is What You Get*) et LaTeX (*What You See Is What You Mean*). Pourquoi le contenu prime sur la forme.
- Les avantages clés :** Qualité typographique inégalée, gestion automatique des références, stabilité sur les documents longs (thèses), et gratuité.
- La structure d'un fichier :** Distinction entre le **préambule** (le cerveau : réglages et packages) et le **corps du document** (le cœur : texte).

2. Immersion dans Overleaf (25 min)

- Configuration :** Création d'un compte et premier projet "Blank Project".
- Exploration de l'interface :** Le panneau de fichiers (gauche), l'éditeur de code (milieu) et la prévisualisation PDF (droite).
- Collaboration en temps réel :** Comment partager un projet et laisser des commentaires (comme sur Google Docs).
- L'historique et les versions :** Comment revenir en arrière en cas d'erreur de compilation.

3. Atelier Pratique : Mon Premier Document (20 min)

* Écriture des commandes de base : `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation du document et observation du résultat.
* Structuration : Utilisation de `\section` et `\subsection`.

Seconde Heure : Mathématiques et Magie de l'IA (60 min)

4. La puissance des Mathématiques (20 min)

- Modes mathématiques :** Différence entre le texte (`$...$`) et le bloc centré (`\[...\]`).
- Syntaxe essentielle :** Fractions `\frac{}{}`, exposants `^`, indices `_`, et racines `\sqrt{}`.
- Introduction aux packages AMS : Pourquoi amsmath et amssymb sont indispensables pour un rendu professionnel.

5. De la main à l'écran : L'IA au service du LaTeX (30 min)

- Présentation des outils d'OCR :** Utilisation de **Mathpix Snip** (le leader) ou de modèles comme Gemini/ChatGPT pour transformer une photo en code.
- Démonstration concrète :
1. Prendre une photo d'une formule manuscrite complexe (ex: une intégrale avec des matrices).
2. Utiliser l'IA pour générer le code LaTeX correspondant.
3. Correction et insertion : Apprendre à vérifier le code généré par l'IA avant de le copier-coller dans Overleaf.

6. Conclusion et Q&A (10 min)

* Synthèse des acquis.
* Ressources pour aller plus loin
* Définition de l'exercice pour la prichaine séance.

Yassine

4.89

(64)

Fort de plus de 10 ans d'expérience comme formateur Cisco et expert terrain, je rends les concepts complexes accessibles et concrets grâce à une pédagogie adaptée à chacun. Ce que je vous propose : Un parcours personnalisé adapté à vos objectifs : Pour les débutants : Acquérir des bases solides et comprendre l'écosystème IT Pour les confirmés : Approfondir des technologies spécifiques et se perfectionner Pour les certifications : Préparation aux certifications Cisco (CCNA, CyberOps, CCNP...) ️ Au programme : Les fondamentaux réseaux : Modèle OSI/TCP-IP, routage, commutation, VLAN Les protocoles essentiels : TCP/IP, DNS, DHCP, HTTP/HTTPS, SSH La cybersécurité en pratique : Sécurisation des équipements, bonnes pratiques, détection des menaces La fibre optique : Principes, technologies et déploiement (selon votre niveau) Ma promesse : Des explications claires sans jargon inutile Des mises en situation concrètes issues de mon expérience terrain Une progression adaptée à votre rythme Un accompagnement bienveillant dans une ambiance studieuse mais décontractée Prêt à transformer votre passion en expertise ? Contactez-moi pour un premier cours et ensemble, bâtissons votre succès dans les réseaux et la cybersécurité !

Manil

4.89

(64)

Besoin de débloquer un chapitre de maths ou de comprendre enfin la logique Python ?

Actuellement en L1 MIAGE après un bac avec les spécialités Maths et NSI, je maîtrise parfaitement le programme du lycée. Ma formation actuelle me permet d'avoir une vision concrète et appliquée des sciences.

Au programme selon vos besoins :

Mathématiques : Algèbre, analyse, probabilités (explications claires et exercices types).

Informatique (NSI) : Algorithmique, structures de données et programmation Python.

Méthodologie : Comment aborder un problème complexe sans paniquer.

Mon but est de rendre ces matières accessibles et de vous transmettre les méthodes qui m'ont permis de réussir mon cursus.