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Learn Numerical Computing, earn certificates with paid and free online courses from CU Boulder, Universidad Politécnica de Madrid and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to manipulate, clean, and analyze data using Python, NumPy, and pandas in this 5-week course from the University of Colorado Boulder. Gain hands-on experience through practical exercises.
First step towards Python's Numpy Library
Take the 30-Day NumPy Challenge: Dive into Python Code - Level Up Your Skills and Master NumPy for Data Manipulation!
"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
Learn about NumPy, the most useful Python library for data science and numerical computing.
This video teaches Python and its key functions and concepts with a variety of demonstrations and examples to help you get started on the right foot.
Master machine learning with Python in an 11-hour program by Great Learning. Gain practical skills in data manipulation, numerical computing, data visualization, and reinforcement learning.
Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.
Numpy subMatrix From Matrix Using Slicing | NumPy Python Tutorial | Num Py Tutorial | Mr. Srinivas. Numpy Defining Multi Dimensional Arrays in NumPy in Python Tutorial. NumPy Find the Properties of Array in Python tutorial.
Master Python and Numpy with this comprehensive course, covering array anatomy, code vectorization, problem-solving, custom vectorization, and advanced topics beyond Numpy.
Learn to use NumPy for efficient computational algorithms and array processing in Python, with a focus on mathematical functions and routine creation. (2-3 hours)
Learn to solve numerical differential equations using JAX in less than an hour with Patrick Kidger from Google X, offered by Fields Institute.
Learn to code a neural network from scratch in under an hour with The Full Stack. Get hands-on with Google Colab, Numpy, PyTorch, and Keras to create regression models.
Learn to select your number type with Spire in under an hour with Denis Rosset, offered by Scala Days Conferences.
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