Programming language: Intermediate experience with Python, Jupyter Notebook Math: Intermediate Linear Algebra, Sets and Functions: Properties of sets, definition and properties of functions.

Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

Objectives: Understand basic Python programming concepts: variables, data types, and basic algorithms. Apply algorithmic thinking to solve simple problems related to space science. Activities: Lecture ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding ...

GCSE Computer Science Computational thinking, algorithms and programming learning resources for adults, children, parents and teachers.

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Introduction to theory of algorithms and basics of Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...