| 1 -Array from data.mp4 | 51.3 MB | ||
| 1 -Basic intuition.mp4 | 19.7 MB | ||
| 1 -Basic operations.mp4 | 24.6 MB | ||
| 1 -Conversion methods.mp4 | 57 MB | ||
| 1 -Course content.mp4 | 40.7 MB | ||
| 1 -Creating lists and arrays.mp4 | 41.5 MB | ||
| 1 -Filled arrays 1.mp4 | 24.3 MB | ||
| 1 -Final remarks.mp4 | 4.6 MB | ||
| 1 -Grouping and splitting arrays.mp4 | 71.4 MB | ||
| 1 -Indexing functions 1.mp4 | 37.4 MB | ||
| 1 -Indexing.mp4 | 46 MB | ||
| 1 -Mathematical functions 1.mp4 | 52.1 MB | ||
| 1 -Saving and loading arrays.mp4 | 100.2 MB | ||
| 1 -Simple random numbers.mp4 | 70.9 MB | ||
| 1 -Source code.url | 102.4 B | ||
| 2 - Course materials.html | 307.2 B | ||
| 2 - HOMEWORK.html | 307.2 B | ||
| 2 -Adding axes.mp4 | 32.1 MB | ||
| 2 -Array with 1 and 2 dimensions.mp4 | 37.9 MB | ||
| 2 -BONUS.mp4 | 29.4 MB | ||
| 2 -Data types.mp4 | 40.7 MB | ||
| 2 -Filled arrays 2.mp4 | 19.1 MB | ||
| 2 -Indexing functions 2.mp4 | 36.2 MB | ||
| 2 -Mathematical functions 2.mp4 | 45.1 MB | ||
| 2 -Matrix and vector products 1.mp4 | 29.5 MB | ||
| 2 -Permutations.mp4 | 31.7 MB | ||
| 2 -Shape manipulation methods.mp4 | 84.1 MB | ||
| 2 -Slicing.mp4 | 47.3 MB | ||
| 2 -Solution.mp4 | 37.8 MB | ||
| 2 -Statistic 1.mp4 | 41.9 MB | ||
| 3 -Array with n dimensions.mp4 | 36.8 MB | ||
| 3 -Assigning.mp4 | 26.9 MB | ||
| 3 -Distributions 1.mp4 | 52.4 MB | ||
| 3 -Filled arrays 3.mp4 | 49.2 MB | ||
| 3 -Indexing functions 3.mp4 | 29.9 MB | ||
| 3 -Item selection.mp4 | 81.8 MB | ||
| 3 -Matrix and vector products 2.mp4 | 16.6 MB | ||
| 3 -Reordering elements.mp4 | 31.6 MB | ||
| 3 -Statistic 2.mp4 | 59.1 MB | ||
| 3 -Trigonometric functions.mp4 | 13.5 MB | ||
| 3 -Vectorization.mp4 | 32 MB | ||
| 4 - HOMEWORK.html | 512 B | ||
| 4 -Adding or removing elements.mp4 | 82 MB | ||
| 4 -Array attributes.mp4 | 65.1 MB | ||
| 4 -Broadcasting.mp4 | 32.5 MB | ||
| 4 -Comparison functions.mp4 | 80.9 MB | ||
| 4 -Distributions 2.mp4 | 34.1 MB | ||
| 4 -Solution.mp4 | 90.4 MB | ||
| 5 - HOMEWORK.html | 512 B | ||
| 5 -Calculation methods 1.mp4 | 37.3 MB | ||
| 5 -Float functions.mp4 | 28 MB | ||
| 5 -HOMEWORK.mp4 | 17.8 MB | ||
| 5 -SOLVED exercise.url | 102.4 B | ||
| 5 -Solution.mp4 | 33.9 MB | ||
| 5 -UNSOLVED exercise.url | 102.4 B | ||
| 5 -Unique values.mp4 | 24.5 MB | ||
| 6 - HOMEWORK.html | 512 B | ||
| 6 -Calculation methods 2.mp4 | 19.4 MB | ||
| 6 -Solution.mp4 | 80.6 MB | ||
| 7 -Calculation methods 3.mp4 | 29.2 MB | ||
| 8 -Calculation methods 4.mp4 | 62.6 MB | ||
| 9 - HOMEWORK.html | 512 B | ||
| 9 -Solution.mp4 | 71.7 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 91 total files | |||
The Ultimate Beginners Guide to Python NumPy
https://DevCourseWeb.com
Published 10/2024
Created by Jones Granatyr,Denny Ceccon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 75 Lectures ( 7h 46m ) | Size: 2.8 GB
Master everything you need to know about NumPy for numerical analysis and scientific calculations! Solved exercises!
What you'll learn
Strengthen your Python knowledge and enhance your programming skills to work with NumPy arrays in your projects.
Explore the powerful nature of NumPy arrays and their essential attributes for efficient data manipulation.
Create, populate, and navigate NumPy arrays, extracting and modifying data seamlessly.
Use methods and functions to perform complex operations on your arrays, optimizing your code and leveraging the full potential of NumPy.
Dive into fundamental data science concepts, learning to manipulate and analyze data effectively.
Requirements
Basic programming logic and Python programming, although it’s possible to follow the course without deep knowledge in these areas.
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