|
|
1. Course Starter - How to approach the course.mp4
|
MP4
|
18.6 MB
|
|
|
1. Course Starter - How to approach the course.srt
|
SRT
|
7 KB
|
|
|
1. More Learnings.mp4
|
MP4
|
16.9 MB
|
|
|
1. More Learnings.srt
|
SRT
|
3.9 KB
|
|
|
1. Objectives.mp4
|
MP4
|
1.3 MB
|
|
|
1. Objectives.srt
|
SRT
|
921.6 B
|
|
|
1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.mp4
|
MP4
|
62.1 MB
|
|
|
1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.srt
|
SRT
|
11.7 KB
|
|
|
2. DateTime.mp4
|
MP4
|
29.1 MB
|
|
|
2. DateTime.srt
|
SRT
|
7.4 KB
|
|
|
2. Draw Text, Rectangle, Circle and Line on Image.mp4
|
MP4
|
29.5 MB
|
|
|
2. Draw Text, Rectangle, Circle and Line on Image.srt
|
SRT
|
6.2 KB
|
|
|
2. Functions with args and kwargs Arguments.mp4
|
MP4
|
37 MB
|
|
|
2. Functions with args and kwargs Arguments.srt
|
SRT
|
10.7 KB
|
|
|
2. If Elif and Else Statements.mp4
|
MP4
|
20.3 MB
|
|
|
2. If Elif and Else Statements.srt
|
SRT
|
5.8 KB
|
|
|
2. Image Cropping & Rotation.mp4
|
MP4
|
26.2 MB
|
|
|
2. Image Cropping & Rotation.srt
|
SRT
|
5.4 KB
|
|
|
2. Image Detection - Blob, Edge and Contour.mp4
|
MP4
|
90.4 MB
|
|
|
2. Image Detection - Blob, Edge and Contour.srt
|
SRT
|
16.5 KB
|
|
|
2. Lambda Expressions, Map, and Filter Functions.mp4
|
MP4
|
39.8 MB
|
|
|
2. Lambda Expressions, Map, and Filter Functions.srt
|
SRT
|
11.3 KB
|
|
|
2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.mp4
|
MP4
|
94.1 MB
|
|
|
2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.srt
|
SRT
|
16 KB
|
|
|
2. Numpy.mp4
|
MP4
|
55.2 MB
|
|
|
2. Numpy.srt
|
SRT
|
17 KB
|
|
|
2. Object Oriented Programming Concept.mp4
|
MP4
|
17.7 MB
|
|
|
2. Object Oriented Programming Concept.srt
|
SRT
|
6.3 KB
|
|
|
2. Popular Coding Practices.mp4
|
MP4
|
24.6 MB
|
|
|
2. Popular Coding Practices.srt
|
SRT
|
5.7 KB
|
|
|
2. Project 2 - Sending Email with Python (Flask).mp4
|
MP4
|
39 MB
|
|
|
2. Project 2 - Sending Email with Python (Flask).srt
|
SRT
|
8 KB
|
|
|
2. Python Setup on Windows.mp4
|
MP4
|
9.9 MB
|
|
|
2. Python Setup on Windows.srt
|
SRT
|
4.1 KB
|
|
|
2. Reading from Recorded Video & Reading and Writing from LIVE camera.mp4
|
MP4
|
62.6 MB
|
|
|
2. Reading from Recorded Video & Reading and Writing from LIVE camera.srt
|
SRT
|
11.2 KB
|
|
|
2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.mp4
|
MP4
|
41 MB
|
|
|
2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.srt
|
SRT
|
7.3 KB
|
|
|
2. Variables and Data Types.mp4
|
MP4
|
5 MB
|
|
|
2. Variables and Data Types.srt
|
SRT
|
2 KB
|
|
|
2. What is OpenCV.mp4
|
MP4
|
6.1 MB
|
|
|
2. What is OpenCV.srt
|
SRT
|
2.3 KB
|
|
|
2. What is Python.mp4
|
MP4
|
18.2 MB
|
|
|
2. What is Python.srt
|
SRT
|
5.2 KB
|
|
|
2.1 Advanced Function - Lambda, Map, Filter, Reduce.ipynb
|
IPYNB
|
9.4 KB
|
|
|
2.1 DateTime.ipynb
|
IPYNB
|
7.9 KB
|
|
|
2.1 Function with _args and _kwargs Arguments.ipynb
|
IPYNB
|
8.7 KB
|
|
|
2.1 If_Else.ipynb
|
IPYNB
|
5.5 KB
|
|
|
2.1 Image Annotation.ipynb
|
IPYNB
|
586 KB
|
|
|
2.1 Image Cropping_Rotation.ipynb
|
IPYNB
|
249.5 KB
|
|
|
2.1 Image Detection.ipynb
|
IPYNB
|
7.5 KB
|
|
|
2.1 Image Noise Removal.ipynb
|
IPYNB
|
517.6 KB
|
|
|
2.1 Image Thresholding.ipynb
|
IPYNB
|
135.4 KB
|
|
|
2.1 Popular Coding Practices - name and main.ipynb
|
IPYNB
|
2.8 KB
|
|
|
2.1 numpy.ipynb
|
IPYNB
|
19.6 KB
|
|
|
3. Data Type - Numeric and Boolean with Variables.mp4
|
MP4
|
78.6 MB
|
|
|
3. Data Type - Numeric and Boolean with Variables.srt
|
SRT
|
23.2 KB
|
|
|
3. Exception Handling.mp4
|
MP4
|
30.8 MB
|
|
|
3. Exception Handling.srt
|
SRT
|
8.9 KB
|
|
|
3. For and While Loop.mp4
|
MP4
|
40 MB
|
|
|
3. For and While Loop.srt
|
SRT
|
12.4 KB
|
|
|
3. Journey of Python.mp4
|
MP4
|
10.3 MB
|
|
|
3. Journey of Python.srt
|
SRT
|
2.7 KB
|
|
|
3. Math, Random and Statistics.mp4
|
MP4
|
22.1 MB
|
|
|
3. Math, Random and Statistics.srt
|
SRT
|
6.3 KB
|
|
|
3. Modules and Packages.mp4
|
MP4
|
52.2 MB
|
|
|
3. Modules and Packages.srt
|
SRT
|
12.5 KB
|
|
|
3. Object Oriented Programming Implementation.mp4
|
MP4
|
41.3 MB
|
|
|
3. Object Oriented Programming Implementation.srt
|
SRT
|
11.2 KB
|
|
|
3. Pandas.mp4
|
MP4
|
78 MB
|
|
|
3. Pandas.srt
|
SRT
|
19.1 KB
|
|
|
3. Project 3 - Extract text from PDF using Python.mp4
|
MP4
|
75.3 MB
|
|
|
3. Project 3 - Extract text from PDF using Python.srt
|
SRT
|
10.1 KB
|
|
|
3. Python Setup on Ubuntu.mp4
|
MP4
|
9.9 MB
|
|
|
3. Python Setup on Ubuntu.srt
|
SRT
|
4.1 KB
|
|
|
3. Quiz on OpenCV Concepts.html
|
HTML
|
204.8 B
|
|
|
3. Tool Setup - OpenCV - Ubuntu.mp4
|
MP4
|
4.8 MB
|
|
|
3. Tool Setup - OpenCV - Ubuntu.srt
|
SRT
|
2.6 KB
|
|
|
3.1 Data Types - Numeric and Boolean with Variables.ipynb
|
IPYNB
|
16.9 KB
|
|
|
3.1 Exception Handling.ipynb
|
IPYNB
|
20.8 KB
|
|
|
3.1 For and While Loop.ipynb
|
IPYNB
|
11.6 KB
|
|
|
3.1 Math_Random_Statistics.ipynb
|
IPYNB
|
8.2 KB
|
|
|
3.1 Modules and Packages.ipynb
|
IPYNB
|
9.4 KB
|
|
|
3.1 Object Oriented Programming.ipynb
|
IPYNB
|
6.6 KB
|
|
|
3.1 pandas.ipynb
|
IPYNB
|
65.4 KB
|
|
|
4. Data Type - String.mp4
|
MP4
|
36.4 MB
|
|
|
4. Data Type - String.srt
|
SRT
|
10.2 KB
|
|
|
4. Decorator.mp4
|
MP4
|
22.4 MB
|
|
|
4. Decorator.srt
|
SRT
|
6.4 KB
|
|
|
4. IO with Basic Files.mp4
|
MP4
|
41.7 MB
|
|
|
4. IO with Basic Files.srt
|
SRT
|
11.6 KB
|
|
|
4. Matplotlib.mp4
|
MP4
|
29.5 MB
|
|
|
4. Matplotlib.srt
|
SRT
|
8.2 KB
|
|
|
4. Project 4 - Template matching using OpenCV.mp4
|
MP4
|
48.2 MB
|
|
|
4. Project 4 - Template matching using OpenCV.srt
|
SRT
|
10.4 KB
|
|
|
4. Sys and OS.mp4
|
MP4
|
20.9 MB
|
|
|
4. Sys and OS.srt
|
SRT
|
5.6 KB
|
|
|
4. Tool Setup - OpenCV - Windows.mp4
|
MP4
|
5.2 MB
|
|
|
4. Tool Setup - OpenCV - Windows.srt
|
SRT
|
2.3 KB
|
|
|
4. Using Google Colab.mp4
|
MP4
|
38.4 MB
|
|
|
4. Using Google Colab.srt
|
SRT
|
12.3 KB
|
|
|
4. Why Learn Python.mp4
|
MP4
|
11.1 MB
|
|
|
4. Why Learn Python.srt
|
SRT
|
2 KB
|
|
|
4.1 Data Types - Strings.ipynb
|
IPYNB
|
3.9 KB
|
|
|
4.1 Decorator.ipynb
|
IPYNB
|
5.1 KB
|
|
|
4.1 I_O with Basic Files.ipynb
|
IPYNB
|
7.2 KB
|
|
|
4.1 Sys_OS.ipynb
|
IPYNB
|
6.2 KB
|
|
|
4.1 matplotlib.ipynb
|
IPYNB
|
105.8 KB
|
|
|
5. Data Type - Lists.mp4
|
MP4
|
69.6 MB
|
|
|
5. Data Type - Lists.srt
|
SRT
|
18.5 KB
|
|
|
5. Generator.mp4
|
MP4
|
19.3 MB
|
|
|
5. Generator.srt
|
SRT
|
5.5 KB
|
|
|
5. Image Basics.mp4
|
MP4
|
33.5 MB
|
|
|
5. Image Basics.srt
|
SRT
|
3 KB
|
|
|
5. OpenPyXL.mp4
|
MP4
|
52.5 MB
|
|
|
5. OpenPyXL.srt
|
SRT
|
11.6 KB
|
|
|
5. Project 5 - Track Object by Marking in Live Camera using OpenCV.mp4
|
MP4
|
26.7 MB
|
|
|
5. Project 5 - Track Object by Marking in Live Camera using OpenCV.srt
|
SRT
|
3.8 KB
|
|
|
5.1 Data Types - Lists.ipynb
|
IPYNB
|
10.2 KB
|
|
|
5.1 Generator.ipynb
|
IPYNB
|
3.2 KB
|
|
|
6. Data Type -Tuples.mp4
|
MP4
|
37.8 MB
|
|
|
6. Data Type -Tuples.srt
|
SRT
|
9.6 KB
|
|
|
6. Image Reading , Writing and Resizing.mp4
|
MP4
|
55.1 MB
|
|
|
6. Image Reading , Writing and Resizing.srt
|
SRT
|
9.8 KB
|
|
|
6. Quiz on Python Concepts.html
|
HTML
|
204.8 B
|
|
|
6.1 Data Types - Tuples.ipynb
|
IPYNB
|
5 KB
|
|
|
6.1 OpenCV for Reading_Writing_Resizing.ipynb
|
IPYNB
|
164.9 KB
|
|
|
7. Data Type - Sets.mp4
|
MP4
|
26.7 MB
|
|
|
7. Data Type - Sets.srt
|
SRT
|
7.3 KB
|
|
|
7.1 Data Types - Sets.ipynb
|
IPYNB
|
9.6 KB
|
|
|
8. Data Type - Dictionaries.mp4
|
MP4
|
31.1 MB
|
|
|
8. Data Type - Dictionaries.srt
|
SRT
|
8.5 KB
|
|
|
8.1 Data Types - Dictionary.ipynb
|
IPYNB
|
14 KB
|
|
|
9. Operators.mp4
|
MP4
|
32.5 MB
|
|
|
9. Operators.srt
|
SRT
|
8.9 KB
|
|
|
9.1 Operators.ipynb
|
IPYNB
|
10.8 KB
|
|
|
Bonus Resources.txt
|
TXT
|
307.2 B
|
|
|
Cars.mp4
|
MP4
|
13.1 MB
|
|
|
Get Bonus Downloads Here.url
|
URL
|
204.8 B
|
|
|
README.txt
|
TXT
|
10.5 KB
|
|
|
TemplateMatching.ipynb
|
IPYNB
|
267 KB
|
|
|
Track_Object.ipynb
|
IPYNB
|
4.3 KB
|
|
|
Web Scraping using BeautifulSoup & RegEx.ipynb
|
IPYNB
|
49.7 KB
|
|
|
base.html
|
HTML
|
1.9 KB
|
|
|
config.py
|
PY
|
204.8 B
|
|
|
emailSend.py
|
PY
|
1.6 KB
|
|
|
employee_data.xlsx
|
XLSX
|
8.1 KB
|
|
|
employee_data_org.xlsx
|
XLSX
|
8.1 KB
|
|
|
employee_details.xlsx
|
XLSX
|
8.1 KB
|
|
|
employee_details_org.xlsx
|
XLSX
|
8.1 KB
|
|
|
example.pdf
|
PDF
|
28.3 KB
|
|
|
image1.jpg
|
JPG
|
100.7 KB
|
|
|
index.html
|
HTML
|
614.4 B
|
|
|
letter.pdf
|
PDF
|
22.2 KB
|
|
|
openpyxl.ipynb
|
IPYNB
|
15.5 KB
|
|
|
pdfminerfile.py
|
PY
|
921.6 B
|
|
|
pdftoText.py
|
PY
|
2.7 KB
|
|
|
pymupdf.py
|
PY
|
204.8 B
|
|
|
python_for_videos_using_opencv.ipynb
|
IPYNB
|
4.5 KB
|
|
|
requirements.txt
|
TXT
|
0 B
|
|
|
resume.pdf
|
PDF
|
45.9 KB
|
|
|
sample.pdf
|
PDF
|
8.4 KB
|
|
|
test.pdf
|
PDF
|
243.7 KB
|
|
|
thank-you.html
|
HTML
|
102.4 B
|
|
|
tiger.jpg
|
JPG
|
60.6 KB
|
|
|
watermark.pdf
|
PDF
|
32.2 KB
|