Introduction to Python for Quantitative finance and investing

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.

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Experience in stock market investment (over 12 years). Bachelor's degree in Economics. Professional in international payments. I write a stock market newsletter in English with over 5,000 subscribers. Like any investor, I don't always win, but a thorough process produces good results in the long run. I'm passionate about sharing knowledge and democratizing investment. Now, to support my business projects, I'd like to teach classes to earn extra income. I believe successful investing shouldn't be just for a small group, but for everyone. Why invest and not just save? Social media promises versus reality: What can you really earn? Is there a guaranteed return? What products do banks offer and how do they work? How does psychology influence long-term success? What happens and what should be done in a crisis? Take control of your future. It is given in French, English, Spanish, German

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Dive into the essential principles of corporate finance with a focus on understanding the time value of money, risk, and return. This course offers clear explanations of how money’s value changes over time and why this concept is crucial for making informed financial decisions. You’ll learn key techniques such as calculating present and future values, which are foundational for valuing investments and projects. The class also covers how to evaluate risk and return, helping you grasp the trade-offs that businesses face when making financial choices. Through practical examples and real-world scenarios, you’ll explore how discounting works and how it influences the valuation of cash flows under uncertainty. These concepts are critical for anyone involved in finance, business management, or investment analysis. Ideal for students preparing for exams or professionals starting a finance career, this lesson provides a solid foundation in corporate finance. By the end, you’ll have the tools and confidence to analyze financial decisions, assess investment opportunities, and understand the quantitative reasoning behind key business strategies.

This Python course is designed for learners who want to go beyond the basics and explore how Python is used in cutting-edge research, data analysis, and web development. Drawing on my extensive academic and research background, I teach modern programming techniques using powerful libraries such as Pandas, SciPy, and Preply for advanced data analysis and statistical modeling. The course also covers real-world applications of Python in scientific research and introduces tools for building dynamic web-based solutions. Emphasis is placed on practical problem-solving, efficient coding practices, and leveraging the latest Python technologies to prepare students for both academic and professional success.

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Experienced economics, finance, and accounting tutor. I have a PhD in economics from Georgetown University and I have a BA in economics from Bogazici University. Over the past 10 years I have worked as an Associate Professor of Economics and Finance in various universities and I tutored university students in various economics, finance, and accounting courses. I have students from various universities in US and UK including American University, George Washington University, Nottingham University, King's College London, University of Bath, Northwestern University, University of Royal Holloway etc. Please contact me if you need help in any of your economics, finance, and accounting course.

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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! ---