Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Quadratic Equation: Programming Solutions
Graph Chatbot
Related lectures (30)
Python Functions: Basics and Arguments
Covers the basics of writing functions in Python and working with function arguments.
Conditions and Loops: Basics of Programming
Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.
Introduction to Programming with Python
Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.
Mathematical Exercises: Functions and Equations
Covers mathematical exercises on functions, equations, and trigonometric functions.
Python Programming: Data Structures and Functions
Covers advanced Python programming concepts, including data structures and functions.
Python Programming: Control Structures and Functions
Covers advanced topics in Python programming, focusing on control structures and functions.
Scientific Computing Essentials
Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.
Complex Roots: Conjugate Pairs and Quadratic Equations
Explores complex roots, conjugate pairs, and quadratic equations solving strategies.
Python Programming: Duplicates Detection
Covers the implementation of a Python function to detect duplicates in a list of integers.
Complex Numbers: Exponential Formulas
Covers the activation process of a home connection and explores exponential formulas, Euler's formula, and complex equations.
Programming with Parallelograms
Covers the implementation of a Parallelogram class in Python.
Python Programming: File Handling and Exceptions
Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.
Vectorization in Python: Efficient Computation with Numpy
Covers vectorization in Python using Numpy for efficient scientific computing, emphasizing the benefits of avoiding for loops and demonstrating practical applications.
Python Programming: Sorting and Indexing
Covers Python programming concepts related to sorting and indexing.
Linear Differential Equations
Explores linear differential equations of the second order and the construction of linearly independent solutions.
Introduction to Jupyter Exercises
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Python Programming Basics
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
Numerical Analysis: Introduction to Computational Methods
Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.
Square Roots and Complex Numbers
Log in to Mediaspace to watch this video
Explores square roots in quadratic equations, complex numbers, Fermat prime numbers, and the Gauss-Wantzel theorem.
Numerical Methods: Stopping Criteria, SciPy, and Matplotlib
Log in to Mediaspace to watch this video
Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.
Previous
Page 1 of 2
Next
