🔭 Daily Useful Scripts

Daily.py is a repository that provides a collection of ready-to-use Python scripts for automating common daily tasks.

git clone https://github.com/Chamepp/Daily.py.git

▪ Github: https://github.com/Chamepp/Daily.py

https://t.iss.one/CodeProgrammer

Introduction to Python

Learn fundamental concepts for Python beginners that will help you get started on your journey to learn Python. These tutorials focus on the absolutely essential things you need to know about Python.

What You’ll Learn:
• Installing a Python environment
• The basics of the Python language

https://realpython.com/learning-paths/python3-introduction/

https://t.iss.one/CodeProgrammer

Flask by Example

You’re going to start building a Flask app that calculates word-frequency pairs based on the text from a given URL. This is a full-stack tutorial covering a number of web development techniques. Jump right in and discover the basics of Python web development with the Flask microframework.

https://realpython.com/learning-paths/flask-by-example/

https://t.iss.one/CodeProgrammer

👁‍🗨 Running YOLOv7 algorithm on your webcam using Ikomia API

👁‍🗨 Running YOLOv7 algorithm on your webcam using Ikomia API

from ikomia.dataprocess.workflow import Workflow
from ikomia.utils import ik
from ikomia.utils.displayIO import display
import cv2

stream = cv2.VideoCapture(0)

# Init the workflow
wf = Workflow()

# Add color conversion
cvt = wf.add_task(ik.ocv_color_conversion(code=str(cv2.COLOR_BGR2RGB)), auto_connect=True)

# Add YOLOv7 detection
yolo = wf.add_task(ik.infer_yolo_v7(conf_thres="0.7"), auto_connect=True)

while True:
ret, frame = stream.read()

# Test if streaming is OK
if not ret:
continue

# Run workflow on image
wf.run_on(frame)

# Display results from "yolo"
display(
yolo.get_image_with_graphics(),
title="Object Detection - press 'q' to quit",
viewer="opencv"
)

# Press 'q' to quit the streaming process
if cv2.waitKey(1) & 0xFF == ord('q'):
break

# After the loop release the stream object
stream.release()

# Destroy all windows
cv2.destroyAllWindows()

https://t.iss.one/CodeProgrammer

🦙 Code Llama

The most powerful AI assistant for writing Python code.

• Github: https://github.com/facebookresearch/codellama

• Docs: https://ai.meta.com/blog/code-llama-large-language-model-coding/

• Post: https://ai.meta.com/blog/code-llama-large-language-model-coding/

https://t.iss.one/CodeProgrammer

Surprise 2
https://t.iss.one/+MhmkscCzIYQ2MmM8

👁Savant: Supercharged Computer Vision and Video Analytics Framework on DeepStream

git clone https://github.com/insight-platform/Savant.git

cd Savant/samples/peoplenet_detector

git lfs pull

▪Github: https://github.com/insight-platform/Savant

https://t.iss.one/CodeProgrammer

🖥 Convert PDF to docx using Python

▪Github: https://github.com/dothinking/pdf2docx

https://t.iss.one/CodeProgrammer

Please more reaction with our posts

🖥 Roadmap of free courses for learning Python and Machine learning.

▪Data Science
▪ AI/ML
▪ Web Dev

1. Start with this
https://kaggle.com/learn/python

2. Take any one of these

❯ https://openclassrooms.com/courses/6900856-learn-programming-with-python

❯ https://scaler.com/topics/course/python-for-beginners/

❯ https://simplilearn.com/learn-python-basics-free-course-skillup

3. Then take this
https://netacad.com/courses/programming/pcap-programming-essentials-python

4. Attempt for this certification
https://freecodecamp.org/learn/scientific-computing-with-python/

5. Take it to next level

❯ Data Scrapping, NumPy, Pandas
https://scaler.com/topics/course/python-for-data-science/

❯ Data Analysis
https://openclassrooms.com/courses/2304731-learn-python-basics-for-data-analysis

❯ Data Visualization
https://kaggle.com/learn/data-visualization

❯ Django
https://openclassrooms.com/courses/6967196-create-a-web-application-with-django

❯ Machine Learning
https://developers.google.com/machine-learning/crash-course

❯ Deep Learning (TensorFlow)
https://kaggle.com/learn/intro-to-deep-learning

https://t.iss.one/CodeProgrammer

Please more reaction with our posts

✋ Hand gesture recognition

Full Source Code 👇👇👇👇