Experienced Python Tutor - Unlock Your Coding Potential!

From 33.63 Fr /h

Elevate your programming prowess with expert Python tutoring. With a decade of programming under my belt, I am well-equipped to assist with both academic assignments and practical, real-world projects. Whether you’re grappling with classwork or aiming to apply Python in a professional context, I offer targeted guidance.

- Academic Support: Get help with your school assignments to excel in your coursework.
- Real-World Application: Transition from theory to practice by working on projects that mirror professional tasks.
- Personalized Sessions: Enjoy a learning plan that adapts to your educational and professional objectives.
- All Experience Levels: Whether you’re just starting out or looking to deepen your expertise, all backgrounds are welcome.

Advance your skills with a tutor who knows how to navigate both the academic and professional landscapes. Contact me to start mastering Python today!

Location

Use Ctrl + wheel to zoom!

At student's location :

Around Utrecht, Netherlands

At teacher's location :

Limapad, Utrecht, Netherlands

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

45 minutes

60 minutes

90 minutes

The class is taught in

English

Skills

Computer programming

Software engineering

Python

Availability of a typical week

(GMT -05:00)

New York

At teacher's location

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Maximiliaan

4.95

(21)

I love explaining things simply, as Einstein said If you can't explain it simply, you don't understand it well enough.

Computers in essence are super simple, doing only super basic things. But they are layered on top of each other to create the complexity.

I will first quickly find where your current understanding lies and then from there start building on top of that. More often than not, that means starting from scratch with the basics. I find that just like math it is crucial to really understand and grasp all the preceding steps before moving to the next one. Often when people learn at public schools, they missed one step here and then from there on out people are lost and are trying to learn things by head instead. Which will not help you in the world of computers.

So what can I help with? Literally anything IT related in both English or Dutch. And yes, that means all programming languages included. Uiteraard ook in het Nederlands.

Mattia

4.95

(21)

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

Liam

4.95

(21)

This tutoring is designed to take a complete beginner from absolutely no programming knowledge all the way to being able to apply for junior frontend developer positions. You'll cover all of the basics of algorithms, data structures, classes, styling, html etc. The aim for my tutoring is to guide students to create their first web application and learn their first framework. This will give you a strong foundation to gain entry as a junior frontend developer within a great company with a strong starting salary and good job security.

Kelly

4.95

(21)

Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.

Tarcan

4.95

(21)

This course is for anyone who is interested in learning fundamentals of programming and web development.

Learning programming is difficult at the beginning, as you need to fully grasp the concept. Only after it “clicks”, you will be able to know how you can proceed on your own path and improve yourself further.

My intention is to help you have a good understanding of programming, and teach you how you can improve your programming knowledge.

We will use the language PHP to programming, and take it further with Javascript to learn how to create websites and web applications.

Mina

4.95

(21)

As a software engineer who works in bank and e-commerce companies in Asia and Europe with teaching experience near 3 years to children and adults, I know the most efficient learning way for a person. Also, how to reach the most relevant job position at the right time.

Maiko

4.95

(21)

Python is the most powerful programming language. It is the best and most suitable language to start coding and find your field in Data Engineering, AI, WEB, Robotics, etc. My classes are individual to every single person, I can "match" their individual principles and teach whatever they want. This is how it works... Besides, I can mentor them, give advice and try to handle some issues during the process.
after every single lesson, you can:
* Think different
* Find Algorithm
* Memorise all of the keywords
* finish coding tasks easier

Sebastian

4.95

(21)

I will teach you:
- Coding in JavaScript
- How to turn a design into a working user interface
- How to create a lightning-fast and SEO optimized website
- How to implement unit tests and e2e tests
- The best practices when working in a software development team
And anything you might want to learn as an aspiring front end or full stack developer.

Theo

4.95

(21)

Hello there, programmers! I'm Theo, a seasoned Software Engineer with extensive experience in the tech industry and a passion for teaching. I offer freelance tutoring services in software engineering, taking you on an interactive learning journey from the basics to the advanced concepts.

Being a specialist in a broad array of programming languages such as C++, Python, and JavaScript, I can help you comprehend the intricate aspects of coding and software development. With my guidance, you'll learn more than just the syntax; I'll help you develop an understanding of how to approach problems, write efficient code, and work on complex projects.

Students who choose my tutoring services will learn:

1) Software Engineering Basics - Foundations of computer science, programming, algorithms, data structures, and operating systems.
2) Software Development Lifecycles - Agile, Waterfall, and hybrid development methodologies.
3) Real-World Programming - Practical exercises with real-world scenarios in coding, debugging, testing, and deployment.
4) Advanced Topics - Concepts of Object-Oriented Programming (OOP), Databases, Machine Learning, Artificial Intelligence, Cybersecurity, and more.
5) Soft Skills - Project management, team collaboration, and communication, crucial for a successful career in software development.

In addition to theory, I strongly emphasize hands-on learning with practical projects that simulate real-world software development scenarios. By the end of the course, you will have a portfolio of projects showcasing your software engineering prowess.

Stand out from the crowd by mastering the art of coding under my expert guidance. Let's turn your software engineering aspirations into reality!

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