May 01 2023 Python For Numpy For Absolute Beginners 2023 BaDshaH LEARNING / e-learning - Tutorials 07:45 0 Published 5/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.10 GB | Duration: 1h 42mLearn Complete NumPy from Basic to Advance topic like Indexing, Slicing, Broadcasting, Joining, Splitting, Searching ... What you'll learnUnderstanding NumPy Library from zero to advancedWhy We Use NumPy Array Over Python ListImplementing array operations using NumPy module in pythonHow to work in High dimension Datasets with NumPy arrayRequirementsBasic syntax of PythonDescriptionNumPy (short for "Numerical Python") is a Python library used for scientific computing and data analysis. It provides a powerful set of tools for working with arrays and matrices of numerical data. NumPy is particularly useful for numerical calculations involving large amounts of data, as it is designed to be efficient and fast.One of the main features of NumPy is its ability to handle multi-dimensional arrays of data. These arrays can be used to represent vectors, matrices, or any other kind of numerical data. NumPy provides a large number of built-in functions for performing operations on these arrays, such as mathematical functions (like sin, cos, and exp), statistical functions (like mean and variance), and linear algebra functions (like matrix multiplication and eigendecomposition).NumPy also provides a number of tools for working with structured data, such as CSV files or other tabular data. These tools allow you to easily import and manipulate data, and to perform complex calculations and analyses on it.In addition to its core functionality, NumPy is often used as a foundation for other Python libraries that are used in scientific computing and data analysis, such as Pandas and SciPy. This makes NumPy an essential tool for anyone working in these fields.Overall, NumPy is a powerful and versatile library that is an essential tool for anyone working in scientific computing, data analysis, or related fields.This course introduce with all majority of concept of NumPy - numerical python library.You will learn following topics :1) Creating Arrays using NumPy in Python2) Accessing Arrays using NumPy in Python3) Finding Dimension of the Array using NumPy in Python4)Finding the Shape of the Array using NumPy5) Checking Datatype of an Array using NumPy in Python6) Changing Datatype of an Array using NumPy in Python7) Reshaping of an arrays using NumPy in Python8) Iterating through arrays using NumPy in Python9) Indexing on (1D, 2D, 3D) Arrays using NumPy in Python10) Slicing an (1D, 2D, 3D) Array using NumPy in Python11) Operation (Scalar , Relational , Vector ) of NumPy Array12) Joining Arrays using NumPy in Python13) Splitting Array using NumPy in Python14) Sorting an Array using NumPy in Python15) Searching in Array using NumPy in Python16) Filtering an Array using NumPy in Python17) Generating a Random Array using NumPy in Python18) Dot Product of NumPy Array19) Converting N D to 1 D NumPy Array20) Plotting GraphsOverviewSection 1: IntroductionLecture 1 Introduction of NumpyLecture 2 Why we Use Numpy Over Python List ?Lecture 3 Applications of NumpyLecture 4 Installation of AnacondaSection 2: How to Create Numpy ArrayLecture 5 Create 1D, 2D, 3D Numpy arrayLecture 6 Create numpy array with custom data typeLecture 7 Create numpy array with arange functionLecture 8 Reshape the numpy arrayLecture 9 Create Zeros, Ones , Random arrayLecture 10 Create array Using linspaceSection 3: Numpy Array AttributesLecture 11 Find the dimension of arrayLecture 12 Find the Shape and Size of the arrayLecture 13 Find the Itemsize of the arrayLecture 14 Find the datatype and change the datatype of an arraySection 4: Numpy Array OperationLecture 15 Scalar Operation of numpy arrayLecture 16 Relational Operation of numpy arrayLecture 17 Vector Operation of numpy arraySection 5: Numpy Array FunctionLecture 18 Understanding the Axis and Sum , Min, MaxLecture 19 Finding Mean , Median , Variance of Numpy ArrayLecture 20 Dot product of an Numpy arrayLecture 21 Finding Log and exponent of an arrayLecture 22 Understanding round , floor ,ceil in numpySection 6: Indexing and Slicing in Numpy arrayLecture 23 What is the Indexing and SlicingLecture 24 Indexing on 2D array and 3D numpy arrayLecture 25 Slicing in 1D and 2D Numpy arrayLecture 26 Slicing in 3D Numpy arraySection 7: Iteration of Numpy ArrayLecture 27 Iterating 1D arrayLecture 28 Iterating 2D arrayLecture 29 Iterating 3D arraySection 8: Reshaping of Numpy ArrayLecture 30 Reshaping of numpy arrayLecture 31 Transpose the numpy arrayLecture 32 Converting N D array to 1 D array using ravelSection 9: Joining Two ArrayLecture 33 How to Join to arrayLecture 34 Code for Joining two array using stackingSection 10: Splitting Two ArrayLecture 35 Splitting an arrayLecture 36 Code for Splitting an arraySection 11: Advance LevelLecture 37 Searching in Numpy ArrayLecture 38 Sorting a Numpy ArrayEngineering Students, Software Developers And Aspiring Data Scientists,Beginner in Python, Who wants to learn Pandas LibraryHomepagehttps://www.udemy.com/course/python-for-numpy-for-absolute-beginners-2023/Download From Rapidgatorhttps://rapidgator.net/file/72cc383394df19bdfce84b0af2b03fb8https://rapidgator.net/file/b5841cce98b2b17b45366af0dc3fa566Download From DDownloadhttps://ddownload.com/0rc8qnj9vfalhttps://ddownload.com/a5n9whjck6sj Related News R Programming For Data Science And Machine Learning 2022Statistical Thinking For Data AnalysisMaster Flutter By Building A Video And Voice Call Chat AppPython Interview Pro: 101 Questions & Answers2023 Master Class On Data Science Using Python A-Z™ : For Ml Comments (0)Add comment Submit NEWEST RELEASES 17.05: Windows 11 22H2 Build 22621.3593 9in1 Preactivated Multilingual 17.05: Windows 11 AIO 16in1 23H2 Build 22631.3593 (No TPM Required) Multilingual Preactivated May 2024 17.05: ExtraMAME 24.5 (x64) Multilingual 17.05: WSCC - Windows System Control Center 7.0.9.02 Commercial 17.05: WinRAR 7.01 Multilingual 17.05: Rons WebLynx Pro 2024.5.16.1123 17.05: Capture One Pro / Enterprise 16.4.1.2127 (x64) Multilingual 17.05: TubeMate Downloader 5.16.6 17.05: ES-Computing EditPlus 5.7.4632 17.05: AVL Simulation Suite 2024 R1 (x64) With Extensions Recommended Filehosts Freinds Site