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Algorithms lessons in Marrakesh

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7 algorithms teachers in Marrakesh

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7 algorithms teachers in Marrakesh

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Saadia - Marrakesh, Morocco£29
£29Advanced Software Engineering Techniques: Mastering Algorithms and Code Optimization
In the rapidly evolving world of software development, mastering the art of algorithms and software engineering principles is not just an option—it's a necessity. This course dives deep into the heart of software engineering, focusing on the critical role of algorithms in developing efficient and scalable systems. Designed for aspiring software engineers and seasoned developers alike, this course offers a comprehensive exploration of algorithmic techniques, code optimization strategies, and architectural insights that will transform your approach to coding. You'll embark on a journey through data structures, algorithmic paradigms, and design patterns, each module crafted to enhance your understanding and practical skills. From the basics of sorting and searching algorithms to the complexities of graph algorithms and dynamic programming, you'll gain the tools needed to tackle real-world software challenges. The course doesn't stop at theory; it emphasizes practical application, guiding you through hands-on projects that reinforce learning and encourage innovative problem-solving. Through this course, you'll also delve into the intricacies of software engineering best practices, including agile development methodologies, code refactoring, and software testing. By understanding how to write clean, maintainable code, you'll not only improve your projects but also become a more effective team member in any development environment. Whether you're looking to enhance your portfolio, prepare for a software engineering role, or simply deepen your understanding of algorithms, this course is your gateway to advancing in the tech industry. Join us to unlock new levels of efficiency and creativity in your software development journey.
Algorithms · Structural engineering · Software engineering
(23 reviews)
Adam - Paris, FranceRecently active£22
£22Basic concepts of algorithms and data structures in computer science
Trusted teacher: Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---
Tutoring · Computer science · Algorithms
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(7 reviews)
Join - Paris, France£23
£23Personalized 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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Jhosimar - Peru£22
£22Data Structures and Algorithms classes, Preparation for Interviews at Google, Microsoft, among others
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil). He has participated in various programming contests and has been a coach of undergraduate teams for the ACM-ICPC contest. Some of the achievements: - First place in Codesignal in Peru. - Third place in LeetCode in Peru (+1000 problems solved). - Top 1% of registered users on InterviewBit. - More than 1000 problems solved in online judges like UVA, Spoj, HDU, etc. I have participated in Topcoder, CodeJam and other international competitions that require knowledge of algorithms and data structures. I am the author of the blog "Algorithms and More" where I have written tutorials in Spanish with more than 300 daily views. I have experience preparing interviews to apply to companies such as Google, Facebook, Microsoft, among others. The methodology is didactic with a step-by-step explanation of the algorithms and coding. I can also give advice on studies abroad, job opportunities in large technology companies (Google, Microsoft, etc.) and many other opportunities. If you want to improve your abstraction|logic and make your university projects easy to program, this is your opportunity. I do not solve exams. PS: If you are interested in artificial intelligence, you can look for my other ad about it. Knowledge of C, C++, Python.
C - c++ · Computer programming · Algorithms
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Our students from Marrakesh 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 61 reviews.

Tutoring for Standard Mathematics Exams (UG level). (Amsterdam)
Haralambie
Haralambie has provided incredible support throughout our sessions in a variety of challenging areas of mathematics. The breadth of Haralambie's expertise is evident in the many ways he can demonstrate the idea. I have benefitted from Haralambie's clarity in showing the relevance of specific theorems and how they connect with upcoming material. I have learned a lot from our sessions and he marries the conceptual gaps that come up by explaining the ideas and properties very well. Haralambie provides guidance, patience, and context to the topics covered in subjects that are otherwise disorienting. We work together to hammer out a conceptual stump. My learning experience with Haralambie is fun and engaging, and his input and guidance has been incredibly helpful in elucidating areas that I have missed which improves my approach to future problems.
Review by RON
Computer science, Algorithms and Programming Course (Montreal)
Mehdi
Mehdi is a great teacher, he explains in a way that is very easy to understand and have enjoyed his lessons. Jacob
Review by JACOB
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

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