Introduction to Python Programming : From Novice to Ninja

From 61 € /h

Are you eager to embark on an exciting journey into the world of programming? Look no further than our "Python Programming 101: From Novice to Ninja" class! Whether you're a beginner with zero coding experience or an intermediate student looking to enhance your skills, this class is designed to meet your needs.

Python is one of the most popular and versatile programming languages today. It's known for its simplicity, readability, and vast range of applications, from web development and data analysis to artificial intelligence and automation. In this comprehensive class, we'll guide you through the fundamental concepts and techniques of Python programming, providing you with a solid foundation for your coding journey.

What can you expect from this class? Here's a sneak peek:

Introduction to Python: Get acquainted with the basics of Python syntax, data types, variables, and operators. Learn how to write your first Python programs and gain hands-on experience through interactive coding exercises.

Data Structures: Explore essential data structures like lists, tuples, dictionaries, and sets. Understand their properties, manipulation techniques, and how to leverage them for various programming tasks.

Control Flow and Functions: Dive deeper into Python's control structures, including conditionals and loops. Discover the power of functions and modular programming, enabling you to write reusable and efficient code.

File Handling and I/O Operations: Learn how to read from and write to files using Python. Master the art of input/output operations, opening up endless possibilities for data processing and manipulation.

Introduction to Object-Oriented Programming (OOP): Delve into the principles of OOP using Python. Discover classes, objects, inheritance, and other key concepts that make Python a versatile and object-oriented language.

Intermediate Python Concepts: Gain proficiency in advanced topics such as error handling, regular expressions, modules, and packages. Broaden your programming skills and explore Python's extensive library ecosystem.

Throughout the class, you'll have ample opportunities to apply your knowledge through practical coding exercises and real-world projects. Our experienced instructors will provide guidance, feedback, and support as you progress, ensuring a rewarding learning experience.

Don't miss out on this incredible opportunity to learn Python programming from industry experts. Join our "Python Programming 101: From Novice to Ninja" class today and unlock the doors to endless coding possibilities. Enroll now and take the first step toward becoming a Python ninja!

Location

Online from United States

About Me

As a Python teacher, I am passionate about empowering students with the knowledge and skills needed to excel in programming. With a deep understanding of Python's versatility and wide range of applications, I strive to create engaging and interactive learning experiences. My teaching approach emphasizes practical examples and hands-on projects, allowing students to apply their knowledge and build real-world applications. With a strong foundation in Python programming and a commitment to fostering a supportive learning environment, I am dedicated to helping students unlock their full potential and succeed in their coding journey.

Education

I have a strong educational background in fluid mechanics and heat transfer, with a Master of Science (MS) degree in Applied Mathematics from Ecole Normale Superieure in France. My specialized studies in fluid mechanics have equipped me with a deep understanding of the principles governing the behavior of fluids and their applications in various domains. Through rigorous coursework and research, I have honed my analytical and problem-solving skills, enabling me to tackle complex challenges in fluid dynamics, heat transfer, and related fields. With a solid foundation in applied mathematics, I bring a comprehensive and theoretical understanding of fluid mechanics to my work, allowing me to approach projects with a holistic perspective and deliver innovative solutions.

Experience / Qualifications

As a Python teacher, I have successfully imparted my knowledge and expertise in data analysis to students in a bootcamp in San Francisco. Through dynamic and interactive lessons, I have equipped learners with the necessary skills to effectively utilize Python for data analysis tasks. Additionally, I have also demonstrated my proficiency as an instructor by teaching AutoCAD for CNC at Techshop in San Francisco, where I guided students in utilizing AutoCAD software for CNC machining. With a strong focus on practical applications and hands-on learning, I foster an engaging and supportive environment that empowers students to excel in Python programming and gain valuable insights into data analysis.

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

French

Arabic

Skills

Python

Information technology

Computer programming

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

Mastering Blender 3D: From Beginner to Intermediate"

61 € /h

Unlock your creative potential and dive into the exciting world of 3D animation with our comprehensive "Mastering Blender 3D" class. Whether you're a beginner looking to explore the fundamentals or an intermediate student seeking to enhance your skills, this class is designed to take you on an immersive journey through the versatile capabilities of Blender.

In this course, you will learn the essential techniques of 3D modeling, shading, materials, rendering, animation, and physical simulation. Our experienced instructor, [Your Name], will guide you step-by-step, ensuring that you develop a solid foundation in each aspect of Blender's powerful toolset.

Highlights of the class:

Introduction to Blender: Familiarize yourself with the interface and navigation, and gain confidence in using Blender's powerful features.

Modeling: Learn to create stunning 3D models, from simple objects to complex scenes, using various modeling techniques and tools.

Shading and Materials: Master the art of applying textures, materials, and realistic lighting to bring your models to life.

Rendering: Explore different rendering techniques to showcase your creations in high-quality images and animations.

Animation: Dive into the world of animation and learn how to bring your models to life through keyframing, rigging, and character animation.

Physical Simulation: Discover the realm of physics-based simulations and create realistic effects such as fluid dynamics, cloth simulations, and particle systems.

By the end of this class, you will have gained a deep understanding of Blender's capabilities and developed the skills to create visually stunning 3D artwork, animations, and simulations. Join us now and unlock your creativity with Blender 3D!

Python Programming for 3D Modeling in Rhino3D - Unleash the Potential of Parametric Design

72 € /h

Unlock the power of Python programming in Rhino3D and take your 3D modeling skills to new heights. Join my comprehensive Python programming class designed specifically for Rhino3D users. In this course, you will learn how to leverage Python scripting to automate tasks, create custom design algorithms, and harness the capabilities of parametric modeling.

Throughout the class, we will cover fundamental Python programming concepts and their practical applications in the context of Rhino3D. You will acquire the skills to manipulate geometry, generate complex forms, control parametric variables, and create efficient design workflows.

Whether you are a beginner or an experienced Rhino3D user, this class will provide you with the tools to enhance your 3D modeling capabilities and streamline your design process. Each lesson will include hands-on exercises, real-world examples, and interactive projects, ensuring an engaging and immersive learning experience.

By the end of this Python programming class for Rhino3D, you will have the confidence to create intricate 3D models, automate repetitive tasks, and explore the limitless possibilities of parametric design. Join me on this exciting journey to master Python programming and revolutionize your 3D modeling workflow in Rhino3D.

Enroll now and embark on a transformative adventure in Python programming for 3D modeling in Rhino3D!

Matías

4.88

(85)

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.

Amin

4.88

(85)

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

4.88

(85)

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.

Amine

4.88

(85)

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.

Baia

4.88

(85)

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.

Adam

4.88

(85)

🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

Ali

4.88

(85)

I teach Python, C and C++ one to one, online or in person around Birmingham.

Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things.

Lessons are built around code you can run. I'll ask what you're working on and where you got stuck, then we write something small together, break it on purpose, and work out what the error message is actually telling you. Reading error messages properly is half of programming and almost nobody teaches it.

Areas I cover regularly:

Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas
C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation
GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique
A-Level NEA projects and university coursework, plus debugging sessions and code review
Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally

After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen.

First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better.

Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.

Ammar

4.88

(85)

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.

Pallavi

4.88

(85)

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

Cedric

4.88

(85)

Do you want to learn Python, discover programming, or strengthen your basic skills?
As a computer science teacher with a Master's degree in Computer Science, specializing in Data Science, I offer courses tailored to your level and objectives.
We can work specifically on the basics of Python, variables and data types, conditions, loops, functions, data structures, files, as well as problem-solving and first projects in Python.
My approach is primarily practical: I explain concepts gradually, with simple examples, and then we apply them through exercises. The content and pace are tailored to each learner's difficulties and objectives.
The courses are aimed at beginners, students or adults wishing to learn Python or consolidate their programming knowledge.

Moetez

4.88

(85)

You know how to write Python scripts, but your code quickly becomes difficult to read and maintain? Object-oriented programming is the most common way to organize a program, and it's essential in business, engineering school, and technical interviews. I'm a software engineer and I use Python in production (FastAPI, data, optimization). I'll teach you OOP in a practical way: using classes when they simplify the code, and knowing when to do without them when they complicate it.

Program (adapted to your level):

Clean code: why programming paradigms exist and how they make code maintainable
Classes and objects: attributes, methods, the `__init__` constructor, `self`. Differences between OOP and the functional approach
Encapsulation: protecting an object's data, private attributes, properties (@property)
Abstraction: hiding complexity and exposing a simple interface. Abstract classes (abc)
Inheritance: reusing and specializing class behavior, super(), when to avoid it
Polymorphism: the same call, different behaviors. Special methods (__str__, __eq__...)
Final project: model a real problem from A to Z (game, library management, reservation system...)
with a code organized into classes

For who ?

Students (BTS, BUT, Bachelor's degree, engineering school, preparatory classes) preparing for an exam or project; High school students

Career changers and junior developers who want to take their skills to the next level

Prerequisite: knowledge of the basics of Python (variables, conditions, loops, functions). Otherwise, a refresher course can be started.

Each session alternates between short explanations and practical exercises. I can also help you directly with your practical work and projects.

Feel free to contact me to discuss it!

Said

4.88

(85)

I offer personalized lessons adapted to each student’s level, objectives, and learning pace. Whether you want to strengthen your fundamentals, prepare for an exam, improve your academic performance, or develop practical skills, I provide clear explanations and hands-on exercises.

📐 Mathematics: algebra, functions, equations, calculus, probability, and applied mathematics.

💰 Finance: financial analysis, corporate finance, investments, financial markets, portfolio management, risk management, and quantitative finance.

📊 Statistics: descriptive statistics, probability, hypothesis testing, correlation, regression, data analysis, and interpretation of results.

💻 Microsoft Office: Excel, Word, and PowerPoint — from basic to advanced level, including formulas, data analysis, charts, professional documents, reports, and presentations.

As a Master’s student in Finance at the University of Neuchâtel, with a background in Finance and experience in quantitative analysis and credit-risk modelling, I focus on making complex concepts simple, practical, and easy to understand.

Courses available in French or English.

Mariam

4.88

(85)

This course is designed for students and adolescents who want to build a strong beginner-friendly foundation in Computer Science.
Whether you're completely new to Computer Science or need help with a specific programming subject, the course can be customized to match your needs.
Need help with C++ or programming? You can provide me with your syllabus, course outline, or the topics you're studying, and I'll tailor the lessons around what you need to learn.
Learning with friends? Group lessons are also available, allowing you to learn together while following the same customized course.

Nourhan

4.88

(85)

Welcome! Whether you are a complete beginner or a university student aiming to strengthen your technical foundation, this course is tailored to help you master Python programming, database design, and SQL queries effectively.

In our sessions, we focus on hands-on practical learning rather than passive theory. Here is what we can cover:
• Python Programming fundamentals, data structures, and logic building.
• Relational Databases design, schemas, and ER diagrams.
• Writing clean, optimized SQL queries (SELECT, JOINs, aggregations, subqueries).
• Hands-on practice with real-world datasets and troubleshooting common errors.
• Assistance with university coursework, exam prep, and personal projects.

Lessons are tailored to your pace and goals, ensuring you build confidence in writing code independently. Feel free to reach out with any questions before booking!

Pratiksha

4.88

(85)

Python Level 1Workshop

**Course Description**

Want to learn programming from scratch? This beginner-friendly Python course introduces students to coding through interactive lessons, practical exercises, and fun mini-projects.

Students will learn how to write Python programs, work with different types of data, take user input, make decisions using conditions, and repeat actions using loops. Each concept is explained step by step with real-life examples and hands-on coding activities.

**What You Will Learn**

* **Lesson 1: Your First Python Program** — Learn the `print()` function, display messages, and create simple programs.
* **Lesson 2: Variables and Data Types** — Store and work with text, numbers, and other basic data.
* **Lesson 3: User Input and Calculations** — Build interactive programs that accept user input and perform calculations.
* **Lesson 4: Conditional Statements** — Use `if`, `elif`, and `else` to make programs respond to different situations.
* **Lesson 5: Loops and Mini-Projects** — Use loops to repeat actions and apply your skills in practical coding challenges.

**Hands-On Projects**

Students will apply their learning by building beginner-friendly projects such as a calculator, a number-guessing game, and a Rock-Paper-Scissors game.

**Who Is This Course For?**

* Children and teenagers aged 8–16.
* Complete beginners with no prior programming experience.
* Students who want to develop logical thinking, problem-solving, and computational skills.
* Learners who want to explore programming through practical projects.

**My Teaching Approach**

I explain concepts step by step, use relatable examples, and encourage students to write their own code instead of simply copying solutions. Lessons are adapted to each student's pace, with coding exercises and challenges to strengthen understanding.

**No prior coding experience is required.** Students need a computer and an internet connection to participate.

By the end of Level 1, students will have a solid foundation in Python basics and the confidence to start creating their own simple programs.