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Computer programming lessons in New York

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5 computer programming teachers in New York

Python · Computer science · Computer programming
(7 reviews)
Join - Paris, France$28
Trusted teacher: Multidisciplinary Program: Mathematics, Physics and Computer Science Courses for All Levels Looking to improve your skills in mathematics, physics or computer science? This multidisciplinary program offers you a comprehensive and personalized approach to excel in these three areas. Suitable for high school students, university students and professionals, this online course combines clear teaching, practical exercises and individual support to ensure your success. --- Why choose this program? - Tailor-made teaching: Each course is tailored to your goals, whether it's preparing for an exam, filling in knowledge gaps or developing advanced technical skills. - Interdisciplinary expertise: Benefit from the experience of a trainer who is an expert in mathematics, physics and computer science. - Interactive learning: A methodology based on clear explanations, practical exercises and concrete projects. - Flexibility of formats: Choose 60, 90 or 120 minute sessions to learn at your own pace. --- Course content: Mathematics : 1. Secondary level: - Algebra, geometry, trigonometry. - Solving complex equations and systems. - Practical applications to understand key concepts. 2. University level: - Differential and integral calculus, mathematical analysis. - Probability and applied statistics. - Mathematical optimization for concrete projects. --- Physical : 1. Secondary level: - Kinematics and Newton's laws. - Electricity, magnetism and optics. - Simplified thermodynamic concepts. 2. University level: - Advanced mechanics, fluids and thermodynamics. - Electromagnetism and quantum mechanics. - Experimental applications and modeling. --- Computer science : 1. Introduction and fundamental concepts: - Introduction to programming: variables, conditions, loops. - Key languages (Python, Java, C++) and their applications. - Algorithmic resolution and computational thinking. 2. Advanced computing: - Object-oriented programming (OOP) and advanced data structures. - Development of concrete projects: simulation, data analysis, automation. - Use of specialized libraries: NumPy, Pandas, Matplotlib. --- Course schedule: - 60 minutes: For a quick focus on a specific subject or an exercise resolution. - 90 minutes: An ideal length of time to explore a theme in detail and practice. - 120 minutes: Intensive format for revisions, projects or complex concepts. Each course follows an optimized structure: 1. Introduction: Review of key notions or concepts. 2. Theory: Detailed explanations with concrete examples. 3. Practical: Interactive exercises, case studies or project development. 4. Questions and consolidation: Clarification of doubts and validation of acquired knowledge. --- Tools and resources provided: - Interactive platform: Virtual whiteboard, screen sharing and live simulations. - Educational materials: Summary sheets, corrected exercises and guided projects. - Ongoing support: Access to email follow-up between classes to answer your questions. --- About the trainer: A multidisciplinary expert passionate about teaching and science, with a solid academic and practical background. His teaching approach, based on clarity and efficiency, will allow you to progress quickly while developing a deep understanding of the subjects studied. --- Register today! Whether you want to pass your exams, deepen your knowledge or develop your professional skills, this multidisciplinary program will help you achieve your goals. Book your first session and discover a learning method that really works.
Computer programming · Math · Physics
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
(23 reviews)
Adam - Paris, France$25
Trusted teacher: This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---
Tutoring · Computer programming · Python
Ace Competitive Programming: I specialize in helping students master the art of competitive coding. Whether you're preparing for coding competitions like Codeforces, LeetCode, Hackerrank, or university-level contests, I guide you through the problem-solving techniques and strategies used by top coders. Structured Problem Solving: My tutoring sessions focus on breaking down complex problems into manageable steps. You’ll learn how to approach coding challenges with a clear and logical mindset, enabling you to solve problems efficiently under time constraints. Algorithm Optimization: Understand and implement key algorithms such as greedy algorithms, dynamic programming, backtracking, and divide-and-conquer. We’ll focus on optimizing your solutions for speed and efficiency, ensuring your code runs within time limits during competitions. Data Structure Expertise: Gain a deep understanding of how to effectively use arrays, linked lists, stacks, queues, trees, graphs, and other advanced data structures to solve challenging problems. You’ll learn when and how to choose the right data structure to improve performance. Hands-On Practice: Every session includes real-time problem-solving, where we’ll tackle actual coding problems from popular competitive platforms. I provide immediate feedback on your code and guide you through debugging and refining your solutions. Improve Speed & Accuracy: Competitive coding is all about solving problems quickly and accurately. I help students develop strategies to think on their feet and avoid common coding pitfalls, while also sharpening their typing and coding speed. Prepare for Coding Interviews: In addition to competitions, the skills you’ll learn are invaluable for technical interviews at top companies. I provide specific coaching for coding interview prep, ensuring you’re ready to tackle both standard and advanced problems with confidence. Stay Motivated & Confident: Competitive coding can be tough, but I keep students motivated with challenging yet achievable goals. You’ll develop resilience and confidence in your coding skills, ready to take on any challenge.
Computer programming · Computer science · Self-improvement
Math · Physics · Computer programming
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Our students from New York evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from New York to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 59 reviews.

Math: Differential, Integral and Multivariable Calculus tutor over the past 8 years. (Bogotá)
Lina
She did a great lesson with my daughter. Hoping to use her for additional tutoring sessions. Update: Lina has been tutoring my daughter for many months. Lina is wonderful. My daughter used to get frustrated with math, but Lina has helped her excel in math! We hope Lina continues to be available for lessons!
Review by MARGARITA
Maîtrisez Python avec un Expert en Programmation et Data Science (Tangier)
Hamza
This course, Maîtrisez Python avec un Expert en Programmation et Data Science, was an excellent experience from start to finish.
Review by NIHAD
Advanced courses: Physics from high school to university and Advanced Python programming focused on efficiency. (in French) (Paris)
Join
Dear Join, Thanks a lot for yesterday lessons. My daughter was so happy with your teachings. Edith
Review by EDITH