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Numpy For Beginners: Arrays, Pillow & Matplotlib

Posted By: lucky_aut
Numpy For Beginners: Arrays, Pillow & Matplotlib

Numpy For Beginners: Arrays, Pillow & Matplotlib
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 751.19 MB | Duration: 2h 22m

Learn NumPy for beginners, with an introduction to Pillow and Matplotlib.

What you'll learn
How to to create NumPy arrays, define and change their data types.
Understand the shape term, and apply math operations.
Select different parts of the array.
Creating random floats and ints.
Creating zeros and ones array.
Reshaping and permuting.
Creating an image array.
Displaying the image array.
Importing images and converting them to numpy array.
How to use NumPy to animate images.
How to use export the animated image as a video.

Requirements
Knowing the basics of Python, like for loops and lists.

Description
NumPy for Beginners: Arrays, Pillow & MatplotlibMaster the foundations of NumPy through hands-on practice with arrays and image manipulation. This beginner-friendly course provides a practical approach to understanding NumPy's powerful features by combining essential array operations with engaging image examples.Course Structure:Module 1: NumPy FoundationsStart your journey with comprehensive coverage of NumPy fundamentals:Setting up your Python environment with essential librariesUnderstanding NumPy arrays and their unique propertiesWorking with different data types and their applicationsMastering array shapes and dimensionsPerforming mathematical operations on arraysLearning advanced array selection techniquesUsing key functions like arrange, zeros, and onesPracticing reshape operations and dimension manipulationModule 2: Image Arrays Part 1Apply your NumPy knowledge to create image arrays:Understanding image array structureDisplaying the image and changing its featuresManipulating the image array.Module 3: Image Arrays Part 2Importing image using Pillow integration:Loading and preparing images for NumPy operationsPracticing array manipulation with visual feedbackConverting stacks of images into a video.Perfect ForPython beginners eager to learn NumPyProgrammers looking to understand array operationsStudents who learn best through practical examplesAnyone interested in numerical computing basicsPrerequisitesBasic Python programming knowledgeNo prior NumPy experience neededEnthusiasm to learn and practice

Beginner Python Developers.