Introduction to Python Programming : From Novice to Ninja

From 66 $ /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"

66 $ /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

78 $ /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!

Dr.

5.0

(15)

I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature.

I have helped several students in courses like Python Programming, R Programming, Data Science,
Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements.

I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals.

More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.

5.0

(15)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Adam

5.0

(15)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Adam

5.0

(15)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Amin

5.0

(15)

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

5.0

(15)

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.

Ayoub

5.0

(15)

This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed.

1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

.

Baia

5.0

(15)

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.

Dr.Ibrahim

5.0

(15)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

5.0

(15)

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.

Verónica

5.0

(15)

Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.

Ammar

5.0

(15)

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.

Laith

5.0

(15)

Ever wondered what really happens when you open a website or hit "send"? Let's find out together.

I've spent 3 years working hands-on with real networks: analyzing live traffic, managing firewalls, and troubleshooting network issues for government, financial, and telecom organizations. I'm Fortinet certified (FCA, FCF) and hold the CNSP (Certified Network Security Practitioner) certification. I'll teach you networking the way it's actually used on the job. No boring theory dumps, just live, hands-on learning you can use right away.

You'll learn:

How the internet works: IP addresses, DNS, DHCP, and HTTP/HTTPS
The OSI and TCP/IP models, made simple
Subnetting, routing, switches, and firewalls
TCP vs. UDP, ports, and how connections work
How to read real traffic with Wireshark and test networks with ping, traceroute, and Nmap
How to spot suspicious traffic and keep a network healthy

Perfect for: beginners, career changers, students, developers, and anyone preparing for Network+ or CCNA.

You'll walk away with a clear picture of how data travels, the confidence to troubleshoot real network problems, and a rock-solid foundation for your IT career.

No experience needed, just curiosity and a computer. Book your first session and let's dive in!

Gianrocco

5.0

(15)

Feel free to send me over your questions / material before the class, so we can have a more efficient use of our time.
you can find my LinkedIn here
https://www.linkedin.com/in/gianroccolazzari/
glad to adjust the topics according to your level

I also speak ES/PT

Mariam

5.0

(15)

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.