Trusted teacher: 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.
Computer programming lessons in United States
Find your perfect private computer programming tutor in United States.
Learn computer programming with our teachers at home or in their studio.
0 teachers in my wish list
5 computer programming teachers in United States
Aniket - Toronto, 08$25
Trusted teacher: - B.tech and M.tech in Computer Science - Worked as a Software engineer in Virtusa Corp & DIGIDEZ - More than 6 years of teaching experience - Oracle Certified Developer - Helped students placed in FAANG Featured Review : Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!! Thanks Aniket
Java · Python · Computer programming
Trusted teacher: Virtual reality is going to be used widely in the years to come. In training, remote working, socializing, discovering. It is not meant to replace reality, but offer experiences in a safe and easy environment to spark curiosity. In this class I'll teach children need what is and how to use Virtual reality, Augmented Reality and discover the potential these technologies have to offer.
Alternative education · Computer modeling · Computer programming
Trusted teacher: Lean to be a great C and C++ programmer with a senior software engineer and an excellent lecturer in university. Recently I received a diploma of excellent lecturer in university. I own an M.SC. in computer science. I got lot of warm feedback messages from my students.
C - c++ · Software engineering · Computer programming
Trusted teacher: MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
Statistics · Economics for adults · Computer programming
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Trusted teacher: Join my comprehensive Grasshopper class and dive into the world of algorithmic design. In this course, you will learn how to harness the full potential of Grasshopper, the visual programming plugin for Rhino3D, to create complex parametric models and generative designs. Throughout the class, we will cover the core principles of Grasshopper and its practical applications in the field of architecture, design, and fabrication. You will gain a solid understanding of the visual scripting interface, learn how to manipulate geometry, control parameters, and automate design processes. Whether you are a beginner or an intermediate Grasshopper user, this class is designed to empower you with the skills necessary to create intricate and visually captivating designs. Each lesson will combine theoretical knowledge with hands-on exercises, allowing you to apply your learning in real-world scenarios. By the end of this Grasshopper class, you will have the confidence to develop custom design algorithms, explore generative design techniques, and optimize your workflow for efficient and parametric design iterations. Join me on this exciting journey of mastering Grasshopper and unlock a new dimension of creativity and possibilities. Enroll now and embark on a transformative adventure in algorithmic design with Grasshopper!
Python · Cad software · Computer programming
a Ph.D. holder in Computer and Electrical Engineering. I was a teacher for 8 years in Kuwait. I have the ability to give classes to advanced and intermediate levels ( Math, programming C#, C, C++, JAVA, Python, R, engineering, statistics, algebra, calculus ... and any topic related to engineering.
Computer engineering · Computer programming · Math
Trusted teacher: Hello, Computer engineer and applied mathematics, I offer programming courses and support in mini project Python, MATLAB or C ++, to help you carry out your projects and prepare for your exams (in finance, applied mathematics, physics). Some topics covered: - Non-differentiable convex optimization (proximal operator) - Inverse problem: discretization of the Helmholtz equation in 2D, optimization in quasi-Newton - Simulation of the competitive activity of 2 mini football teams. - Satellite navigation networks (GNSS) in algebraic graph theory - Simulation of a multi agent system. - Stochastic process: Modeling of a toll station. - Low thrust 2D orbit transfer problem: minimal time. Possibility of online courses (Screen sharing) Do not hesitate to contact me if you have any questions.
Python · Computer programming · Math