Effective Python Basic to Advance Learning in short period

Von 22.06 Fr /Std

Python is extensively used in almost all area of IT development.
Python is present and future for any IT programmer.
I focused following area while teaching python.

Learn easy programming in Python
Discover the many application possibilities of Python
Develop professional applications with Python
Programming projects quickly and effectively
Save time and cost with Python

Zusätzliche Informationen

Bring your own laptop

Ort

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Beim Schüler zu Hause :

In der Umgebung von Amstelveen, Niederlande

Online aus Niederlande

Über mich

Tutoring Mathematics almost seventeen years for secondary and higher secondary
Teaching Maths considering real life example which will help students to relate with real life examples and helps to make interest in mathematics.
Easy Tricks, fast methods will help to grasp maths quickly, build confidence and inspire student to progress rapidly.
I teach Mathematics for IGCSE,A,AS LEVEL& AMERICAN CURRICULUMS

Bildung

Main Mathematics courses where are Arithmetic, Algebra, Geometry and Topology, Calculus and Analysis. Along with that studied Applied Mathematics in details i.e.
Statistics and Probability, Dynamic systems and Differential equations, Mathematical physics, Information theory and Signal processing.

Erfahrung / Qualifikationen

Seventeen years of experience in teaching Mathematics ; comfortable with all modes of teaching i.e personal , group, online teaching.

Alter

Vorschulkinder (4-6 Jahre alt)

Kinder (7-12 Jahre alt)

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

30 Minuten

45 Minuten

60 Minuten

90 Minuten

120 Minuten

Unterrichtet in

Englisch

Hindi

Marathi

Fachkenntnisse

Programmierung

Bewertungen

Verfügbarkeit einer typischen Woche

(GMT -05:00)

New York

Online via Webcam

Beim Schüler zu Hause

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

VWO Mathematics and academic Maths tests preparation for all ages

23.02 Fr /Std

I help the students to become independent to learn maths rather than sitting with them and solving problems. I have the past 18 years of experience teaching pupils 12 to 64 years old. I can guide you with any test preparation in Mathematics. I specialize in tutoring Geometry and differential equations with easy tricks to learn.

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

Can

4.95

(21)

I offer beginner and intermediate classes in Python and Statistics.

Python - From the basics such as statements, classes , data types to more advanced topics such as GUI programming and data visualization. It does not matter if you have zero experience or if you want to build upon your current skill set. I believe the best way of learning is by doing so you will have the opportunity to do a guided project with me to put what you learned into practice, it also looks good on your CV!

Statistics - Basics(Mean,Standard Deviation etc) , Probability , Hypothesis Tests

Gergely

4.95

(21)

What is this AI thing everybody is talking about these days? Do you want to understand technology at a deeper level? Are you interested in how common applications fundamentally operate? Would you like to improve your logical and analytical skills (not to mention endurance and patience)?
Learning to code - a phrase that is all too popular nowadays. Still, dealing with programming languages is kind of inevitable in every sector. And by becoming fluent in Python or AI techniques you broaden the spectrum of your possibilities, in academia, in the job market and in your personal life too!
There is simply no better language than Python to begin with on your exciting coding journey. And there is also no better way of doing that than by having someone personal to ask questions to. This way you not only don't have to waste time and effort on a stupid typo, but you're also less likely to give up. Effort * Encouragement = Success!

Tommie

4.95

(21)

🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises

Der richtige Lehrer Garantie

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