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Private lessonsComputer ProgrammingComputer Programming in Gîza

6 computer programming teachers in Gîza

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6 computer programming teachers in Gîza

Yassine - Rabat, Morocco51 QAR
51 QARLet's Raise the Future: When Mathematics and Computer Science Join Forces
Trusted teacher: As a passionate and experienced tutor, I offer tailored math and computer programming lessons for all levels, from beginners to advanced students. My goal is to impart solid knowledge while making learning both clear and motivating. Why choose me? My journey : I completed an excellent training program in scientific preparatory classes at LYDEX, ranked among the 8 best preparatory class establishments in France. This rigorous experience allowed me to develop in-depth skills in mathematics and computer science, as well as a structured and effective working method that I share with my students. Academic Excellence: A solid education from one of the best educational environments. Varied expertise: --> Mathematics: Algebra, geometry, analysis, probability, statistics. --> Programming: Python, Java, C++, algorithms, web development, databases. --> Tailor-made educational approach: I adapt to the specific needs of each student, whether for pass an exam, improve skills or complete a personal project. --> Experience and results: I have supported numerous students and professionals in achieving their goals, giving them the tools necessary to excel. My mission: To inspire and guide my students toward academic and professional excellence. With me, each class becomes an opportunity to progress and gain confidence in their abilities. Contact me now to begin your journey to success!
Math · Computer programming
Max - Hemel Hempstead, United Kingdom82 QAR
82 QARComputational Theory (Suitable for GCSE and A-Level)
Trusted teacher: Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint? If you understand programmatic theory, then you can write in any programming language. This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?) No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'. The topics covered are listed below Programmatic Theory: Literals, Operators, Keywords Variables, Data Types, Generics Memory Usage, Pointers, Arrays Branching, Iteration, Iterators Functions, Control Flow, Scope, Closures, Enumerations, OOP Classes and Instances, Immutability, Inheritance Polymorphism, Exception Handling, Composition Asynchronous Programming, Multithreading, Multiprocessing Internal Workings: Binary, Hexadecimal, Number Systems Extrinsic vs Intrinsic Data, Coupling, MVC Architecture CPU, FED Cycle, Spatial Locality Caching, Performance, Memory Types Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images) Data Structures and Algorithms: Performance, Big O, Measuring Performance Searching, Sorting, Decomposition Data Structures, Arrays, Linked Lists Single Buffers (Pools), Double Buffers, Ring Buffers Stacks, Queues, Priority Queues Heaps, Hash Tables, Graphs Trees, Binary Trees, Vectors
Computer science · Computer programming
Jhosimar - Peru157 QAR
157 QARPrivate or group classes of Machine Learning and Deep Learning
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing. He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given: He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development. Some of the things I can help you with: - Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc. - Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc. - Languages: Python, C++ - Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
Computer programming · Python
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Fejiro - Bexley, United Kingdom128 QAR
128 QARPython for Future Innovators: Igniting Creativity through Code
Trusted teacher: 🌱 EVERY JOURNEY STARTS WITH ONE STEP LET'S START YOUR JOURNEY TO BECOMING TECH PROFESSIONAL 🎯 Welcome to the exciting world of PYTHON🐍😁! An exciting and comprehensive course designed to introduce students to the fascinating world of Python programming. As a private home tutor, I have created this course to equip students with the essential skills and knowledge needed to thrive in the digital age. Through engaging lessons and hands-on projects, students will embark on a coding adventure, unleashing their creativity and building a solid foundation in Python programming. By learning with me, you will gain a competitive edge in the rapidly evolving technological landscape. Python is a versatile and widely-used programming language with applications in various fields, including web development, data analysis, artificial intelligence, and more. Mastering Python opens doors to exciting career opportunities and lays a strong foundation for future studies in computer science and related disciplines. This course will empower you to think critically, solve problems systematically, and harness the power of coding to shape the world around them. In my classes, I adopt an immersive and hands-on approach to make learning Python programming enjoyable and effective. The course is thoughtfully structured, starting with the basics and gradually progressing to more advanced concepts. Through a series of interactive lectures, practical exercises, coding challenges, and creative projects, students will gain a deep understanding of Python syntax, data structures, algorithms, and programming techniques. To foster a collaborative learning environment, I encourage students to actively participate, share ideas, and collaborate on coding projects. Real-world examples and case studies will be incorporated to demonstrate the practical applications of Python programming. Additionally, I will introduce students to industry-standard tools and best practices, preparing them to write clean, efficient, and professional code. Throughout the course, I will provide individualized attention and support to address each student's unique learning needs. By offering personalized feedback and guidance, I will ensure that students build a solid programming foundation and develop their problem-solving and logical thinking skills. 🎁 My commitment to student success extends beyond the classroom. I believe in fostering a lifelong passion for coding and providing ongoing support to my students. Even after the course concludes, I will continue to offer guidance, resources, and assistance to help students further enhance their Python programming skills. Whether they aspire to pursue advanced projects, participate in coding competitions, or explore specific areas of interest, I will be there to provide professional guidance and mentorship. So Join me today, let's embark on a thrilling coding journey. Together, let's unlock the potential of Python programming and empower your child to become a confident and skilled programmer, ready to navigate the digital landscape of the future.
Python · Computer science · Computer programming
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Samir - Dubai, United Arab Emirates123 QAR
123 QARMicrosoft Power BI Course. Digital Analytics to drive innovation
Trusted teacher: Gain a 360° overview of exploring and using Power BI to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You've got the power! Getting Started with Power BI Discover how to navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis. Transforming Data In this chapter, you'll learn how to shape and transform your data before the data analysis using Power Query Editor. Visualizing Data It’s time to power-up your business intelligence skills! Through hands-on exercises, you’ll learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports. Filtering In the final chapter, you’ll discover how to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.
Information technology · Computer programming
Maiko - La Celle-sous-Gouzon, France87 QAR
87 QARIntroduction to Python Programming (algorithms, structures, abstractions)
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
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