Python Programming: Learn how to code in just 1 week

From 18 C$ /h

Level Up Your Coding Skills with Hands On Python Coaching!
From core syntax to advanced problem-solving, learn Python through a dynamic process tailored specifically to your goals. No matter your current level, we will enhance your expertise by building fun, real-world projects and solving interactive coding challenges.
Turn abstract logic into functional software while mastering the world's most versatile language.
Ready to transform your ideas into working code? Schedule your first session today!

Extra information

Bring your laptop and have a stable wifi connection

Location

Online from Morocco

About Me

Hi there! I’m a passionate Python tutor who believes learning to code should be empowering, practical, and fun.

My teaching style is interactive and patient—I focus on breaking down complex programming concepts into bite-sized, logical steps. Whether you are a complete beginner writing your first lines of code or looking to sharpen your problem-solving skills, I adapt every lesson to your personal pace and learning style. I love working with curious, motivated students of all levels!

Instead of just memorizing syntax, we’ll work on hands-on exercises and exciting mini-projects that build real confidence. My goal is to make you feel comfortable asking questions and excited to build your own programs.

Ready to master Python? Book a session today, and let's start coding together!

Education

Bachelor of Science in Computer Science

Al Akhawayn University in Ifrane (AUI)

The ABET-accredited Bachelor of Science in Computer Science at Al Akhawayn University delivers a rigorous, American-style education taught in English. The curriculum provides a solid foundation in core software engineering, data structures, algorithm design, database systems, and computer architecture.

Through hands-on projects, students master modern programming languages and explore advanced tracks like artificial intelligence, big data, and cloud computing. Emphasizing problem-solving, ethical computing, and interdisciplinary innovation, the program equips graduates to build scalable digital solutions, excel in tech leadership, and pursue top-tier global graduate studies.

Experience / Qualifications

During my internship as a Data Engineer at BMCI Groupe BNP Paribas, I focused on building and maintaining robust data pipelines for enterprise-scale financial data. Working at the intersection of data engineering and analytics, I designed automated ETL workflows in Python and SQL to clean, structure, and optimize large datasets. My work ensured high data quality and seamless integration, directly supporting downstream machine learning models and business intelligence reporting across the bank.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Advanced

Duration

60 minutes

The class is taught in

English

French

Spanish

Skills

Python

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

French :Learn how to communicate ,pronouunce and introduce yourself in the first Class!

18 C$ /h

Bonjour ! Whether you are introducing your toddler to their first French words, helping a student excel in school, or an adult aiming for professional fluency or conversational mastery, I am here to guide you.
My lessons are 100% customized to your age, goal, and learning style. For young learners, I use interactive games, songs, and storytelling to make French fun and natural. For adults and professionals, we focus on real-world conversation, grammar, and pronunciation.
Master French with confidence at your own pace,book your first session today!

Spanish for evveybody , don't be shy it's never too late to start actuallly understanding Spanish songs !

18 C$ /h

¡Hola! Learning Spanish should be an exciting and natural experience at any age. I provide tailored lessons designed for everyone from toddlers taking their first steps in a second language to adults aiming for conversational fluency or professional mastery. For young children, I use interactive games, songs, and visual storytelling to make learning fun and intuitive. For teens and adults, we focus on practical grammar, real-world dialogue, and building the confidence to speak effortlessly. No matter your starting point, I adapt to your rhythm so you can achieve your goals smoothly.

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.

Giuliano

4.88

(85)

Python is a very powerful and multi purpose tool. Image analysis, data analysis. Do you want to create your own software?
Do you want to manage your own hardware?
For who may want to learn Python or need help for a project I would gladly help you with that!

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.

Hamza

4.88

(85)

Discover the power of Python with an experienced computer trainer!
I'm Hamza, a passionate developer and seasoned mentor with extensive experience teaching programming. My unique teaching approach will help you quickly acquire solid Python skills while discovering its real-world applications in the professional world.
What you will learn:

Python Fundamentals (variables, control structures, functions)
Advanced Object-Oriented Programming
Data Analysis and Visualization with Pandas and Matplotlib
Developing graphical interfaces with PyQt
Practical projects inspired by real business cases

Why choose me?

Over 10 years of experience in training and mentoring
Teaching method adapted to all levels
Hands-on approach based on concrete projects
Contagious passion for code and technological innovation

Whether you're a beginner looking to get started in programming or a professional looking to improve your skills, this course will open up exciting new opportunities in the world of software development and data science.
Join me for a captivating journey into the heart of the most versatile and in-demand programming language on the market!
Book now and take the first step towards mastering Python. Your career as a Python developer starts here!

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.

Ali

4.88

(85)

I offer one-to-one Programming tuition in Python, C, and C++, for GCSE Computer Science, A-Level Computing, and university students studying engineering, computer science, or related subjects. Lessons are available online or in person around Birmingham.

What I cover:

Python for beginners and intermediate learners
C and C++ programming
GCSE and A-Level Computer Science (all exam boards)
University coursework support, debugging help, and project guidance
Core concepts: variables, loops, functions, data structures, object-oriented programming, file handling, basic algorithms

How I teach:
I start by understanding exactly where you are — whether that's "I've never coded before" or "I'm stuck on a specific assignment." Then I build lessons around small, practical examples you can actually run and modify yourself. I'm patient with errors (everyone gets them), and I make sure you understand the why behind the code, not just how to copy it. For university students, I can also help with debugging, code reviews, and explaining tricky concepts in plain English.
If you or your child is preparing for exams, working on coursework, or just wants to finally feel comfortable with coding, I'd love to help.

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- 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

3- 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

4- 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

5- 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

6- 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

7- 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

8- 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

9- 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

10- 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

11- 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 free 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.

Jasgun

4.88

(85)

Have you always wanted to learn programming but didn't know where to start? This course is designed for complete beginners as well as students with some programming experience who want to build a strong foundation in Python.

We'll start with the basics, including variables, data types, operators, conditions, loops, functions, and object-oriented programming. As you progress, you'll work on practical coding exercises and real-world mini projects that help you apply what you've learned.

My teaching style focuses on understanding concepts rather than memorizing syntax. Every topic is explained in a simple, step-by-step manner, with plenty of examples and hands-on practice. You'll have opportunities to ask questions, solve coding challenges, and receive guidance whenever you get stuck.

By the end of the course, you'll be confident writing Python programs, solving programming problems, and building projects. Whether you're learning Python for school, university, career growth, or personal interest, this course will provide you with the skills and confidence to continue your programming journey.

Nikita

4.88

(85)

Are you looking to learn Python programming from scratch or improve your coding skills for college, job interviews, or a career in Data Analytics and Artificial Intelligence? You're in the right place!

In this course, I provide personalized one-to-one online lessons designed for beginners, students, and working professionals. My teaching approach is practical and interactive, focusing on real-world applications rather than just theory. Every concept is explained in a simple, easy-to-understand way with plenty of hands-on practice.

### What you'll learn:

* Python Programming from Beginner to Intermediate
* Problem Solving and Coding Logic
* Object-Oriented Programming (OOP)
* File Handling and Exception Handling
* SQL and Database Basics
* Microsoft Excel for Data Analysis
* Power BI Dashboard Development
* Data Analytics Fundamentals
* Introduction to Machine Learning and Artificial Intelligence
* Interview Preparation and Project Guidance

### Why learn with me?

* Personalized lessons based on your goals and current skill level
* Step-by-step explanations with practical coding exercises
* Real-world projects to build confidence and strengthen your portfolio
* Help with assignments, academic projects, interview preparation, and career guidance
* Friendly, patient, and supportive learning environment with regular doubt-solving sessions

Whether you're preparing for exams, starting your programming journey, or aiming to build a career in Data Analytics, I'll help you gain the practical skills and confidence you need.

Book a lesson today, and let's start learning together!

Sinthuja

4.88

(85)

Are you looking to learn programming from scratch or improve your coding skills? I am a software engineer with over 7 years of professional experience and currently pursuing a Master’s degree in Computer Science in Switzerland.

I offer personalized lessons in Java, Python, SQL, Object-Oriented Programming, Data Structures, Algorithms, Web Development, and Software Engineering. Whether you are a beginner, university student, or professional looking to improve your skills, I will adapt the lessons to your goals and learning pace.

My lessons include practical coding exercises, real-world examples, interview preparation, debugging techniques, and project guidance to help you build confidence and succeed

Abdelmalek

4.88

(85)

This hands-on training pathway is designed to help students kickstart any project, specifically tailored for OT labs and industrial applications. Starting from absolute scratch, students will build a strong foundation in Python programming through practical, industry-relevant concepts.

Curriculum Outline: |
01 - Python Environment Setup & Basics |
02 - Python Variables, Numbers, Bytes & Hex |
03 - Control Flow Logic Functions |
04 - Data Structures (Lists, Tuples, Dictionaries & Sets) |
05 - String Formatting, Comprehensions & Exception Handling |
06 - File IO, Pathlib & Context Managers |
07 - Object-Oriented Programming (Classes & OOP) |
08 - Standard Library, Modules & Networking Basics |

Assessment & Evaluation:
Students will take a mini-test after the completion of each module. Additionally, an Audit & Performance Evaluation report will be sent following the tests.
Duration:
5 days to 15 days (depending on the pace of the cohort)

Jude

4.88

(85)

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

Yaghoub

4.88

(85)

Learn Python programming with a senior software engineer and experienced educator.

This class is designed for students who want to start programming from zero or improve their existing Python skills. You will learn programming fundamentals, problem-solving techniques, object-oriented programming, and how to build real-world projects step by step.

With more than 27 years of software development experience and more than 21 years of teaching students of different ages, I focus on making programming simple, practical, and enjoyable.

Topics can be customized based on the student's goals:

* Python basics and programming fundamentals
* Variables, conditions, loops, functions
* Data structures (lists, dictionaries, sets, tuples)
* Object-oriented programming (OOP)
* File handling and working with data
* Algorithms and problem-solving
* Building practical Python projects
* Preparing for school, university, or professional programming

Suitable for beginners, teenagers, university students, and adults who want to learn programming.