1.86 GB | 00:20:49 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Welcome and Course Overview (85.53 MB)
2 Installing Miniconda and Python 3 on Windows (15.8 MB)
3 Setting Up Python Environments and Installing Packages (33.4 MB)
4 Installing and Running Jupyter Notebook (20.34 MB)
5 Running Your First Python Program (9.62 MB)
6 Understanding Data Types in Python (15.97 MB)
7 Control Flow in Python (7.8 MB)
8 Creating and Using Functions in Python (14.11 MB)
9 Working with Modules in Python (15.8 MB)
10 File Handling in Python (23.72 MB)
11 Managing Directories in Python (20.51 MB)
12 Introduction to Scientific Computing with NumPy (76.13 MB)
13 Advanced Scientific Computing with SciPy (32.6 MB)
14 Basic Statistics in Python (65.52 MB)
15 Performing Zonal Statistics with Python (43.84 MB)
16 Introduction to Plotting in Python (Part 1) (56.87 MB)
17 Advanced Plotting in Python (Part 2) (63.68 MB)
18 Specialized Plotting Techniques (Part 3) (78.03 MB)
23 Case Study 1 - LAI and LST Analysis (Part 1) (53.4 MB)
24 Case Study 1 - LAI and LST Analysis (Part 2) (45.03 MB)
25 Case study two Part1 Analyzing India's Air Quality Data with Machine Learning (81.6 MB)
26 Case Study 2 - Analyzing India's Air Quality with Machine Learning (Part 2) (111.25 MB)
27 Case Study 2 - Analyzing India's Air Quality with Machine Learning (Part 3) (156.22 MB)
28 Case Study 2 - Analyzing India's Air Quality with Machine Learning (Part 4) (80.58 MB)
29 Case Study 3 - Climate Data Analysis Using Python (Part 1) (17.39 MB)
30 Case Study 3 - Climate Data Analysis Using Python (Part 2) (77.89 MB)
31 Case Study 3 - Climate Data Analysis Using Python (Part 3) (85.26 MB)
32 Case Study 3 - Climate Data Analysis Using Python (Part 4) (207.71 MB)
33 Calculating Remote Sensing Indices in Python (85.04 MB)
34 Course Summary and Final Thoughts (112.51 MB)
[center]
Screenshot