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Discover the Best Private Computer programming Classes in Québec

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Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
Ace Competitive Programming: I specialize in helping students master the art of competitive coding. Whether you're preparing for coding competitions like Codeforces, LeetCode, Hackerrank, or university-level contests, I guide you through the problem-solving techniques and strategies used by top coders. Structured Problem Solving: My tutoring sessions focus on breaking down complex problems into manageable steps. You’ll learn how to approach coding challenges with a clear and logical mindset, enabling you to solve problems efficiently under time constraints. Algorithm Optimization: Understand and implement key algorithms such as greedy algorithms, dynamic programming, backtracking, and divide-and-conquer. We’ll focus on optimizing your solutions for speed and efficiency, ensuring your code runs within time limits during competitions. Data Structure Expertise: Gain a deep understanding of how to effectively use arrays, linked lists, stacks, queues, trees, graphs, and other advanced data structures to solve challenging problems. You’ll learn when and how to choose the right data structure to improve performance. Hands-On Practice: Every session includes real-time problem-solving, where we’ll tackle actual coding problems from popular competitive platforms. I provide immediate feedback on your code and guide you through debugging and refining your solutions. Improve Speed & Accuracy: Competitive coding is all about solving problems quickly and accurately. I help students develop strategies to think on their feet and avoid common coding pitfalls, while also sharpening their typing and coding speed. Prepare for Coding Interviews: In addition to competitions, the skills you’ll learn are invaluable for technical interviews at top companies. I provide specific coaching for coding interview prep, ensuring you’re ready to tackle both standard and advanced problems with confidence. Stay Motivated & Confident: Competitive coding can be tough, but I keep students motivated with challenging yet achievable goals. You’ll develop resilience and confidence in your coding skills, ready to take on any challenge.
Computer programming · Computer science · Self-improvement
Math · Physics · Computer programming
Any programming language - compiled or interpreted, statically typed or dynamic, boils down to the same common principles. These principles can then be applied to make any programming language - with any rules you desire. You can use '&' to represent addition and '>>!' to represent conditional loops. You can use 'beep' to represent branches and end each line with @. This class aims to teach you how to create these principles to design a language, and then the different approaches on how to do it. An end project will be to actually make your own programming language! The topics covered are listed below: Pretence: Programming Language Types (grammar), Programming Language Types (formation), Programming Language Types (typing) Stages (Lexing), Stages (Parsing), Stages (Interpreting) Intermediate Forms (AST), Intermediate Forms (Bytecode), Transpiling Optimisation (types), Optimisation (application to AST), Optimisation (application to Bytecode) Building Ray (Classes): Grammar Type, Formation Type, Typing Type Data Types, Expressions (types), Expressions (precedence) Statements (declarations), Statements (statements), Standard Library Tokens, Tokenisation (characters), Tokenisation (literals) Parsing (AST), Parsing (Visitors), Interpreting (Visitor) Static Scope, Semantic Analysis, Resolvers (Visitor) Building Ray (Nodes) Parsing (Literals), Interpreting (Literals), Resolving (Literals) Parsing (Groups), Interpreting (Groups), Resolving (Groups) Parsing (Operators), Interpreting (Operators), Resolving (Operators) Parsing (Variable declarations), Interpreting (Variable declarations), Resolving (Variable declarations) Parsing (Variable getters), Interpreting (Variable getters), Resolving (Variable getters) Parsing (Variable setters), Interpreting (Variable setters), Resolving (Variable setters) Parsing (Branches), Interpreting (Branches), Resolving (Branches) Parsing (Logic Gates), Interpreting (Logic Gates), Resolving (Logic Gates) Parsing (Loops conditional), Interpreting (Loops conditional), Resolving (Loops conditional) Parsing (Loops count), Interpreting (Loops count), Resolving (Loops count) Parsing (Function declarations), Interpreting (Function declarations), Resolving (Function declarations) Parsing (Function calls), Interpreting (Function calls), Resolving (Function calls) Parsing (Scope Termination), Interpreting (Scope Termination), Resolving (Scope Termination) Parsing (Class declarations), Interpreting (Class declarations), Resolving (Class declarations) Parsing (Instances), Interpreting (Instances), Resolving (Instances) Parsing (Methods), Interpreting (Methods), Resolving (Methods) Parsing (Instance Lookup), Interpreting (Instance Lookup), Resolving (Instance Lookup) Parsing (Constructors), Interpreting (Constructors), Resolving (Constructors) Parsing (Inheritance), Interpreting (Inheritance), Resolving (Inheritance) Optimisations (Visitor), Optimisations (Literal-Only Expressions), Optimisations (Variable Expressions) Project: Build your own language! (Supervised)
Computer science · Computer programming
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