Computer programming lessons in Zeist

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Trusted teacher: <Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Software engineering · Computer programming
Trusted teacher: Welcome Student, Having graduated from Mathematics and Computer Science myself, I have noticed that there are many subjects that the majority of students have difficulty with. These are often also the subjects that are most important for progress, because many future subjects build on them. Are you a bachelor's student and do you have the same problem, then you've come to the right place. Together we go through the material and work towards your exams, so that you can confidently enter your exams. From a 'birds-eye view', many of these courses clearly have specific types of assignments that you must be able to pass your exam. We pick out these kinds of assignments and we will train you together in order to master them. In addition, we will counteract your weaknesses by going through assignments and theory about it. To get a clear idea of which courses I have taken and what exactly I can help you with, I have listed below my completed university courses (all passed with a 7 or higher). Note that I study in Utrecht myself, so your courses may have different names. Math - Proofs in Mathematics - Infinitesimal Calculation and Linear Algebra 1 - Introduction to Probability Theory and Statistics - Infinitesimal Calculation and Linear Algebra 2 - Analysis - Introduction to Geometry - Introduction Groups and Rings - Introduction Analysis in More Variables - Introduction to Topology - Functions and Sequences - Discrete Mathematics - Topology and Geometry - Introduction to Scientific Computing - Analysis in More Variables - Differentiable Varieties - Groups, Modules and Shows - Thesis Computer science - Computer architecture and Networks - Imperative Programming - Functional Programming (Haskell) - Introduction Project - Databases - Data structures Graphics - Optimization and Complexity - Languages and Compilers - Competition - Modeling and System Development - Software Testing and Verification - Image processing - Software project If you are not sure if I can help you, you can always send me a message! Sam
Math · Calculus · 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
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 198 reviews.

Private coding / programming lessons with python (Paris)
Matías
Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students (Casablanca)
Amin
So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)
Review by MANIJ
Mastering Web Development: From Fundamentals to Advanced Techniques (Tunis)
Oussama
I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN