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Python NumPy Full Course for Beginners | Zero to Hero in One Video | Complete NumPy Course
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Welcome to the Python NumPy Full Course For Beginners! Whether you are an absolute beginner or want to strengthen your data science skills, this tutorial will walk you through each significant feature of NumPy that forms the base for data manipulation in Python.
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Timestamps: 👇
00:00:00 - Intro to Numpy for Python
00:01:56 - Setup on Windows
00:07:11 - Setup on MacOS
00:11:06 - Importing Numpy
Numpy Arrays
00:12:52 - Understanding Arrays
00:13:20 - array() Function
00:15:22 - Array Properties
00:15:27 - dtype Property
00:19:22 - size Property
00:20:13 - Multidimensional Arrays
00:21:00 - 2D Arrays
00:21:58 - ndim Property
00:23:09 - shape Property
00:24:01 - Creating 3D Arrays
00:42:30 - eye() Function
Random Data Generation
01:06:05 - Random in Numpy
Core Numpy Functions
01:13:05 - Essential Functions Overview
01:13:19 - reshape()
01:35:29 - concatenate()
01:42:45 - split()
Indexing, Slicing, and Assigning Values
01:54:31 - Intro to Indexing and Slicing
01:54:38 - Array Indexing
02:02:55 - Negative Indexing
02:07:04 - Array Slicing
02:12:21 - Slicing in 2D Arrays
02:19:05 - Assigning Values in 1D Arrays
02:22:48 - Assigning in 2D Arrays
02:26:34 - Fancy Indexing Explained
02:29:03 - Fancy Indexing with 2D Arrays
Operations in Numpy
02:31:12 - Basic Operations
02:31:29 - Comparison Operators
02:36:22 - Array Filtering
02:39:32 - Arithmetic Operations
Statistical Functions
02:47:14 - Overview of Statistical Operations
02:48:20 - Mean Calculation
02:48:44 - Standard Deviation
02:49:52 - Logarithmic Operations
👉 Don’t forget to like, subscribe, and share if you found this course helpful!
#python #numpy #datascience #machinelearning #pythontutorial #learnpython #programming #pythoncourse #dataanalysis #pythonforbeginners #coding #pythonprogramming #techtutorial #datasciencetutorial #learnnumpy #pythonlibraries #pythondata #pythonarrays #numpytutorial #pythondevelopment #datasciencewithpython #pythonguide #pythoneducation #learntocode #codingtutorial #programmingcourse
📚 Useful Links:
📢 Follow and Support Me:
Timestamps: 👇
00:00:00 - Intro to Numpy for Python
00:01:56 - Setup on Windows
00:07:11 - Setup on MacOS
00:11:06 - Importing Numpy
Numpy Arrays
00:12:52 - Understanding Arrays
00:13:20 - array() Function
00:15:22 - Array Properties
00:15:27 - dtype Property
00:19:22 - size Property
00:20:13 - Multidimensional Arrays
00:21:00 - 2D Arrays
00:21:58 - ndim Property
00:23:09 - shape Property
00:24:01 - Creating 3D Arrays
00:42:30 - eye() Function
Random Data Generation
01:06:05 - Random in Numpy
Core Numpy Functions
01:13:05 - Essential Functions Overview
01:13:19 - reshape()
01:35:29 - concatenate()
01:42:45 - split()
Indexing, Slicing, and Assigning Values
01:54:31 - Intro to Indexing and Slicing
01:54:38 - Array Indexing
02:02:55 - Negative Indexing
02:07:04 - Array Slicing
02:12:21 - Slicing in 2D Arrays
02:19:05 - Assigning Values in 1D Arrays
02:22:48 - Assigning in 2D Arrays
02:26:34 - Fancy Indexing Explained
02:29:03 - Fancy Indexing with 2D Arrays
Operations in Numpy
02:31:12 - Basic Operations
02:31:29 - Comparison Operators
02:36:22 - Array Filtering
02:39:32 - Arithmetic Operations
Statistical Functions
02:47:14 - Overview of Statistical Operations
02:48:20 - Mean Calculation
02:48:44 - Standard Deviation
02:49:52 - Logarithmic Operations
👉 Don’t forget to like, subscribe, and share if you found this course helpful!
#python #numpy #datascience #machinelearning #pythontutorial #learnpython #programming #pythoncourse #dataanalysis #pythonforbeginners #coding #pythonprogramming #techtutorial #datasciencetutorial #learnnumpy #pythonlibraries #pythondata #pythonarrays #numpytutorial #pythondevelopment #datasciencewithpython #pythonguide #pythoneducation #learntocode #codingtutorial #programmingcourse
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