Udemy-Complete-NumPy-ste-1PqlT
1. Introduction\\/1. Course ob<x>jectives Audience and prerequisites.mp450.91MB
1. Introduction\\/1.1 01 Course ob<x>jectives.pdf.pdf469.12KB
1. Introduction\\/2. Course Contents Walkthrough.mp429.10MB
1. Introduction\\/2.1 02 Course Contents Walkthrough.pdf.pdf288.04KB
1. Introduction\\/3. Please do lee your feedback.mp43.66MB
1. Introduction\\/4. Scientific Python Ecosystem.mp428.32MB
1. Introduction\\/4.1 04 Scientific Python Ecosystem.pdf.pdf289.79KB
1. Introduction\\/5. Introduction to NumPy.mp419.93MB
1. Introduction\\/5.1 05 Introduction to NumPy.pdf.pdf210.03KB
1. Introduction\\/6.1 06 URLs of projects in Scientific Python Ecosystem.pdf.pdf113.46KB
10. Routines for Random\\/1. Routines for Random.mp432.85MB
11. Array nipulation\\/1. Array Manipulation Routines (split stack flip).mp4189.78MB
12. Bitwise Operations on NumPy Arrays\\/1. Bitwise Operations on NumPy Arrays.mp421.84MB
13. Statistical Functions in NumPy\\/1. Statistical Functions in NumPy.mp430.51MB
14. FFTs\\/1. FFTs and Inverse FFT.mp490.17MB
14. FFTs\\/2. Advanced FFTs.mp470.16MB
15. trices and Linear Algebra\\/1. Dot Products.mp445.79MB
15. trices and Linear Algebra\\/2. Vector Dot Product.mp419.52MB
15. trices and Linear Algebra\\/3. Inner Product.mp413.83MB
15. trices and Linear Algebra\\/4. QR Decomposition.mp417.20MB
15. trices and Linear Algebra\\/5. Determining and Solving Linear Equations.mp438.40MB
16. thematical and Trigonometric Functions\\/1. Sin Cos Tan.mp430.36MB
16. thematical and Trigonometric Functions\\/2. Sinh Cosh Tanh.mp418.81MB
16. thematical and Trigonometric Functions\\/3. Exponent.mp418.89MB
16. thematical and Trigonometric Functions\\/4. Logarithms.mp414.96MB
16. thematical and Trigonometric Functions\\/5. Convolution.mp415.38MB
17. Digital Ige Processing with NumPy and Matplotlib\\/1. What is Digital Image Processing.mp458.09MB
17. Digital Ige Processing with NumPy and Matplotlib\\/10. Logical Operations.mp479.91MB
17. Digital Ige Processing with NumPy and Matplotlib\\/11. Histogram with NumPy and Matplotlib.mp4126.05MB
17. Digital Ige Processing with NumPy and Matplotlib\\/2. Image Datasets for Practicals.mp443.98MB
17. Digital Ige Processing with NumPy and Matplotlib\\/2.1 01 Image Datasets Online.pdf.pdf190.97KB
17. Digital Ige Processing with NumPy and Matplotlib\\/3. Installing Pillow on Windows and Raspberry Pi.mp446.65MB
17. Digital Ige Processing with NumPy and Matplotlib\\/4. Reading Displaying and Sing images on Disk with Matplotlib.mp478.39MB
17. Digital Ige Processing with NumPy and Matplotlib\\/5. NumPy for Image Processing and Computer Vision.mp4113.77MB
17. Digital Ige Processing with NumPy and Matplotlib\\/6. Image Statistics.mp420.97MB
17. Digital Ige Processing with NumPy and Matplotlib\\/7. Image Masks.mp456.09MB
17. Digital Ige Processing with NumPy and Matplotlib\\/8. Image Channels.mp481.81MB
17. Digital Ige Processing with NumPy and Matplotlib\\/9. Arithmetic Operations.mp479.45MB
18. File Operations with NumPy\\/1. Working with .npy files.mp432.20MB
18. File Operations with NumPy\\/2. Working with .csv files.mp426.44MB
19. Set Operations with NumPy\\/1. Set Operations with NumPy.mp447.67MB
2. Python 3 on Windows\\/1. Install Python 3 on Windows.mp447.65MB
2. Python 3 on Windows\\/2. Verify Python 3 installation on Windows.mp446.86MB
2. Python 3 on Windows\\/2.1 02 Verifying Installation on Windows.pdf.pdf155.24KB
20. Sorting and Counting Routines in NumPy\\/1. Sorting with NumPy.mp417.65MB
20. Sorting and Counting Routines in NumPy\\/2. Counting non-zero elements in NumPy Ndarray.mp424.15MB
21. Downloadable Code Bundle\\/1.1 CodeBundle.zip.zip3.93MB
3. Python 3 and Raspberry Pi\\/1. What is Raspberry Pi.mp445.36MB
3. Python 3 and Raspberry Pi\\/2. Raspberry Pi Unboxing.mp484.53MB
3. Python 3 and Raspberry Pi\\/3.1 02 Web URLs for downloads.pdf.pdf110.35KB
3. Python 3 and Raspberry Pi\\/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.20MB
3. Python 3 and Raspberry Pi\\/5. Raspberry Pi Raspbian OS Setup Part 2.mp4183.94MB
3. Python 3 and Raspberry Pi\\/6. Remotely accessing Pi with VNC.mp4106.32MB
3. Python 3 and Raspberry Pi\\/7. Python on Raspberry Pi.mp478.73MB
3. Python 3 and Raspberry Pi\\/8.1 06 Linux Comnds used in the Course.pdf.pdf158.06KB
4. Basics of Python 3\\/1. Hello World program on Windows.mp458.66MB
4. Basics of Python 3\\/2. Hello World program on Raspberry Pi.mp4117.06MB
4. Basics of Python 3\\/3. Python 3 Interpreter vs sc<x>ript Mode.mp444.28MB
4. Basics of Python 3\\/4. Exploring IDLE.mp469.85MB
4. Basics of Python 3\\/5. What platform to use.mp471.11MB
5. Python Package Index and pip\\/1. Introduction to PyPI and pip.mp431.06MB
5. Python Package Index and pip\\/2. pip on Windows.mp462.92MB
5. Python Package Index and pip\\/3. pip on Raspberry Pi.mp482.27MB
6. NumPy and tplotlib installation\\/1. Install NumPy and Matplotlib on Windows.mp446.65MB
6. NumPy and tplotlib installation\\/2. Install NumPy and Matplotlib on Raspberry Pi.mp462.89MB
6. NumPy and tplotlib installation\\/2.1 02 Installing NumPy and Matplotlib on Raspberry Pi.pdf.pdf155.30KB
7. Jupyter\\/1. What is Jupyter.mp4103.34MB
7. Jupyter\\/2. Install Jupyter on Windows.mp453.23MB
7. Jupyter\\/3. Install Jupyter on Raspberry Pi.mp462.67MB
7. Jupyter\\/4. Install PuTTY on Windows.mp437.39MB
7. Jupyter\\/5. Remotely connect to a Jupyter notebook.mp452.75MB
7. Jupyter\\/6. A brief Tour of Jupyter.mp4153.28MB
7. Jupyter\\/7.1 07 Jupyter Installation and Remote Connection.pdf.pdf162.99KB
8. Getting Started with NumPy\\/1. Creating N-dimensional arrays indexing and slicing.mp4129.88MB
8. Getting Started with NumPy\\/2. NumPy Ndarrays Properties.mp442.76MB
8. Getting Started with NumPy\\/3. NumPy thematical and Scientific Constants.mp416.41MB
8. Getting Started with NumPy\\/4.1 NumPy Datatypes.pdf.pdf162.40KB
9. Array Creation Routines and tplotlib\\/1. Zeroes and Ones.mp448.28MB
9. Array Creation Routines and tplotlib\\/2. Matrices.mp431.63MB
9. Array Creation Routines and tplotlib\\/3. What is Matplotlib.mp415.64MB
9. Array Creation Routines and tplotlib\\/3.1 03 Matplotlib.pdf.pdf281.15KB
9. Array Creation Routines and tplotlib\\/4. NumPy Numerical Ranges and Matplotlib.mp4102.21MB
- CreateTime2023-01-03
- UpdateTime2023-01-10
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