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
Introduction to NumPy and Matplotlib for Scientific Computing
Graph Chatbot
Related lectures (50)
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: Data Structures and Functions
Covers advanced Python programming concepts, including data structures and functions.
Programming Concepts: Variables and Expressions
Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.
Python Programming: File Handling and Exceptions
Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.
Introduction to Jupyter Exercises
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Data Science with Python
Covers Python basics, Pandas, data manipulation, visualization, and machine learning.
Introduction to NumPy: Basics of Scientific Computing
Log in to Mediaspace to watch this video
Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.
NumPy Arrays and Graphical Representations: Introduction
Log in to Mediaspace to watch this video
Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.
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.
Numerical Methods: Bisection and Multidimensional Arrays
Log in to Mediaspace to watch this video
Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.
File Management and Exception Handling in Python
Log in to Mediaspace to watch this video
Focuses on file management and exception handling in Python programming.
Air Pollution Data Analysis
Log in to Mediaspace to watch this video
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Python Programming: Lists and Functions Overview
Log in to Mediaspace to watch this video
Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.
Data Science for Engineers: Part 2
Log in to Mediaspace to watch this video
Explores data manipulation, exploration, and visualization in data science projects using Python.
Nonlinear Equation Resolution: Introduction to Bisection Method
Log in to Mediaspace to watch this video
Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.
Matlab Programming: Script and Function
Log in to Mediaspace to watch this video
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Python Programming: Immutable and Mutable Objects
Log in to Mediaspace to watch this video
Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.
Python Programming: Dictionaries and Classes
Log in to Mediaspace to watch this video
Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.
Data Science: Python for Engineers - Part II
Log in to Mediaspace to watch this video
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Previous
Page 1 of 3
Next