[ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Python NumPy

Creation Time	Nov. 17, 2024, 3:12 p.m.
Last Access Time	Nov. 21, 2024, 3:12 a.m.
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Keywords	Beginners Python NumPy - Udemy DevCourseWeb to Ultimate The com Guide
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~Get Your Files Here !/6 - Methods/4 -Solution.mp4 147.8 MB
~Get Your Files Here !/13 - Saving and loading arrays/1 -Saving and loading arrays.mp4 100.2 MB
~Get Your Files Here !/9 - Indexing functions/4 -Solution.mp4 90.4 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/4 -Solution.mp4 85.4 MB
~Get Your Files Here !/6 - Methods/2 -Shape manipulation methods.mp4 84.1 MB
~Get Your Files Here !/8 - Manipulation functions/4 -Adding or removing elements.mp4 82.0 MB
~Get Your Files Here !/6 - Methods/3 -Item selection.mp4 81.8 MB
~Get Your Files Here !/10 - Universal functions/4 -Comparison functions.mp4 80.9 MB
~Get Your Files Here !/8 - Manipulation functions/6 -Solution.mp4 80.6 MB
~Get Your Files Here !/10 - Universal functions/6 -Solution.mp4 73.1 MB
~Get Your Files Here !/6 - Methods/9 -Solution.mp4 71.7 MB
~Get Your Files Here !/8 - Manipulation functions/1 -Grouping and splitting arrays.mp4 71.4 MB
~Get Your Files Here !/7 - Random numbers/1 -Simple random numbers.mp4 70.9 MB
~Get Your Files Here !/3 - ndarray and its attributes/4 -Array attributes.mp4 65.1 MB
~Get Your Files Here !/6 - Methods/8 -Calculation methods 4.mp4 62.6 MB
~Get Your Files Here !/4 - Filled arrays/4 -Solution.mp4 59.4 MB
~Get Your Files Here !/12 - Statistic/3 -Statistic 2.mp4 59.1 MB
~Get Your Files Here !/6 - Methods/1 -Conversion methods.mp4 57.0 MB
~Get Your Files Here !/11 - Linear algebra/4 -Solution.mp4 52.5 MB
~Get Your Files Here !/7 - Random numbers/3 -Distributions 1.mp4 52.4 MB
~Get Your Files Here !/10 - Universal functions/1 -Mathematical functions 1.mp4 52.1 MB
~Get Your Files Here !/3 - ndarray and its attributes/1 -Array from data.mp4 51.3 MB
~Get Your Files Here !/4 - Filled arrays/3 -Filled arrays 3.mp4 49.2 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/2 -Slicing.mp4 47.3 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/1 -Indexing.mp4 46.0 MB
~Get Your Files Here !/10 - Universal functions/2 -Mathematical functions 2.mp4 45.1 MB
~Get Your Files Here !/12 - Statistic/2 -Statistic 1.mp4 41.9 MB
~Get Your Files Here !/2 - Numpy and lists/1 -Creating lists and arrays.mp4 41.5 MB
~Get Your Files Here !/2 - Numpy and lists/2 -Data types.mp4 40.7 MB
~Get Your Files Here !/1 - Introduction/1 -Course content.mp4 40.7 MB
~Get Your Files Here !/3 - ndarray and its attributes/2 -Array with 1 and 2 dimensions.mp4 37.9 MB
~Get Your Files Here !/13 - Saving and loading arrays/2 -Solution.mp4 37.8 MB
~Get Your Files Here !/9 - Indexing functions/1 -Indexing functions 1.mp4 37.4 MB
~Get Your Files Here !/6 - Methods/5 -Calculation methods 1.mp4 37.3 MB
~Get Your Files Here !/3 - ndarray and its attributes/3 -Array with n dimensions.mp4 36.8 MB
~Get Your Files Here !/9 - Indexing functions/2 -Indexing functions 2.mp4 36.2 MB
~Get Your Files Here !/7 - Random numbers/4 -Distributions 2.mp4 34.1 MB
~Get Your Files Here !/7 - Random numbers/5 -Solution.mp4 33.9 MB
~Get Your Files Here !/2 - Numpy and lists/4 -Broadcasting.mp4 32.5 MB
~Get Your Files Here !/8 - Manipulation functions/2 -Adding axes.mp4 32.1 MB
~Get Your Files Here !/2 - Numpy and lists/3 -Vectorization.mp4 32.0 MB
~Get Your Files Here !/7 - Random numbers/2 -Permutations.mp4 31.7 MB
~Get Your Files Here !/8 - Manipulation functions/3 -Reordering elements.mp4 31.6 MB
~Get Your Files Here !/3 - ndarray and its attributes/5 -Solution.mp4 31.3 MB
~Get Your Files Here !/2 - Numpy and lists/6 -Solution.mp4 31.1 MB
~Get Your Files Here !/9 - Indexing functions/3 -Indexing functions 3.mp4 29.9 MB
~Get Your Files Here !/11 - Linear algebra/2 -Matrix and vector products 1.mp4 29.5 MB
~Get Your Files Here !/14 - Final remarks/2 -BONUS.mp4 29.4 MB
~Get Your Files Here !/6 - Methods/7 -Calculation methods 3.mp4 29.2 MB
~Get Your Files Here !/10 - Universal functions/5 -Float functions.mp4 28.0 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/3 -Assigning.mp4 26.9 MB
~Get Your Files Here !/11 - Linear algebra/1 -Basic operations.mp4 24.6 MB
~Get Your Files Here !/8 - Manipulation functions/5 -Unique values.mp4 24.5 MB
~Get Your Files Here !/4 - Filled arrays/1 -Filled arrays 1.mp4 24.3 MB
~Get Your Files Here !/12 - Statistic/1 -Basic intuition.mp4 19.7 MB
~Get Your Files Here !/6 - Methods/6 -Calculation methods 2.mp4 19.4 MB
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~Get Your Files Here !/12 - Statistic/4 -Solution.mp4 18.5 MB
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~Get Your Files Here !/11 - Linear algebra/3 -Matrix and vector products 2.mp4 16.6 MB
~Get Your Files Here !/10 - Universal functions/3 -Trigonometric functions.mp4 13.5 MB
~Get Your Files Here !/14 - Final remarks/1 -Final remarks.mp4 4.6 MB
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~Get Your Files Here !/11 - Linear algebra/4 - HOMEWORK.html 556 bytes
~Get Your Files Here !/12 - Statistic/4 - HOMEWORK.html 556 bytes
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~Get Your Files Here !/4 - Filled arrays/4 - HOMEWORK.html 556 bytes
~Get Your Files Here !/5 - Indexing, slicing, assigning/4 - HOMEWORK.html 556 bytes
~Get Your Files Here !/6 - Methods/4 - HOMEWORK.html 556 bytes
~Get Your Files Here !/6 - Methods/9 - HOMEWORK.html 556 bytes
~Get Your Files Here !/7 - Random numbers/5 - HOMEWORK.html 556 bytes
~Get Your Files Here !/8 - Manipulation functions/6 - HOMEWORK.html 556 bytes
~Get Your Files Here !/9 - Indexing functions/4 - HOMEWORK.html 556 bytes
~Get Your Files Here !/Bonus Resources.txt 386 bytes
~Get Your Files Here !/1 - Introduction/2 - Course materials.html 337 bytes
~Get Your Files Here !/13 - Saving and loading arrays/2 - HOMEWORK.html 296 bytes
Get Bonus Downloads Here.url 182 bytes
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~Get Your Files Here !/6 - Methods/1 -Source code.url 108 bytes
~Get Your Files Here !/7 - Random numbers/1 -Source code.url 108 bytes
~Get Your Files Here !/8 - Manipulation functions/1 -Source code.url 108 bytes
~Get Your Files Here !/9 - Indexing functions/1 -Source code.url 108 bytes
~Get Your Files Here !/2 - Numpy and lists/5 -UNSOLVED exercise.url 105 bytes
~Get Your Files Here !/2 - Numpy and lists/5 -SOLVED exercise.url 96 bytes

[ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Python NumPy

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