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Discover the Best Private Algorithms Classes in Switzerland

For over a decade, our private Algorithms tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Switzerland, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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4 algorithms teachers in Switzerland

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4 algorithms teachers in Switzerland

(7 reviews)
Join - Geneva26Fr
26FrPersonalized tutoring for learning how to write code and program using the Python computer language.
Trusted teacher: Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!
Python · Computer programming · Algorithms
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(1 review)
Francisco - Zurich47Fr
47FrPYTHON programming with PhD student in Geophysics with 7+ years of experience
Trusted teacher: Hi! Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together! For beginners: I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you! For intermediate users: If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages! Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions! First of all, what is Python? According to its creator, Guido van Rossum, Python is a: “high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.” Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process. The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development! This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!
Python · Computer programming · Algorithms
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Our students from Switzerland evaluate their Algorithms teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 11 reviews.

Advanced courses: Physics from high school to university and Advanced Python programming focused on efficiency. (in French) (Paris)
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Dear Join, Thanks a lot for yesterday lessons. My daughter was so happy with your teachings. Edith
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