79_The_Tragic_Discovery_of_Handwashing_t_Tests_&_Distributions.zip
1 MB
79 - The Tragic Discovery of Handwashing t-Tests & Distributions
80 - Capstone Project - Predict House Prices.zip
1.7 MB
80 - Capstone Project - Predict House Prices
81 - Professional Portfolio Project - Python Scripting.zip
1.7 KB
81 - Professional Portfolio Project - Python Scripting
82 - Professional Portfolio Project - Python Web Development.zip
47.4 MB
82 - Professional Portfolio Project - Python Web Development
π47β€44π₯5π2
π
The End !
π§Ώ The last courses are just text courses that's why the size is small
π§Ώ The last courses are just text courses that's why the size is small
β€138π28π₯17π€1
π
Voice Recorder in Python
pip install sounddevice
import sounddevice
from scipy.io.wavfile import write
#sample_rate
fs=44100
#Ask to enter the recording time
second = int(input("Enter the Recording Time in second: "))
print("Recordingβ¦\n")
record_voice = sounddevice.rec(int(second * fs),samplerate=fs,channels=2)
sounddevice.wait()
write("MyRecording.wav",fs,record_voice)
print("Recording is done Please check you folder to listen recording")
π65β€40π₯24π5
π
Getting Started with Python for Finance
π Author: Matt Harrison
π° Level: Beginner
β° Duration: 1h 39m
π
π Topics: Financial Analysis, Python
π€ Join @python_trainings for more courses
π Author: Matt Harrison
π° Level: Beginner
β° Duration: 1h 39m
π
Get up and running as a financial analyst using Python, one of the most widely used programming languages in the world.
π Topics: Financial Analysis, Python
π€ Join @python_trainings for more courses
β€23π18
πΈ Full description πΈ
Python has quickly become one of the most popular and widely used programming languages in the world. And if you work in finance and analyze the stock market or other financial instruments, you need to stay up to date with the most important analytic tools. Join instructor Matt Harrison to get up and running with Python, in this course designed uniquely for financial analysis.Learn how to implement the best practices for loading data and visualizations, performing calculations, ingesting and preparing financial data, coding technical analysis signals, and more. Along the way, test out your new skills in the challenges and coding exercises at the end of each section. Upon completing this course, youll be ready to start leveraging the power of Python to optimize your financial analysis workflow.
Python has quickly become one of the most popular and widely used programming languages in the world. And if you work in finance and analyze the stock market or other financial instruments, you need to stay up to date with the most important analytic tools. Join instructor Matt Harrison to get up and running with Python, in this course designed uniquely for financial analysis.Learn how to implement the best practices for loading data and visualizations, performing calculations, ingesting and preparing financial data, coding technical analysis signals, and more. Along the way, test out your new skills in the challenges and coding exercises at the end of each section. Upon completing this course, youll be ready to start leveraging the power of Python to optimize your financial analysis workflow.
π21β€4π₯4π1
Getting Started with Python for Finance.zip
238.9 MB
π23β€7π₯2
Getting Started with Python for Finance.zip
238.9 MB
β€21π16π₯3
π Pytube is a lightweight #Python library that enables you to download #YouTube videos and playlists in specific formats and resolutions.
https://github.com/pytube/pytube
https://github.com/pytube/pytube
π₯45π30β€10π1
π
Advanced Python: Working with Databases
π Author: Kathryn Hodge
π° Level: Advanced
β° Duration: 2h 6m
π
π Topics: Databases, Python
π€ Join @python_trainings for more courses
π Author: Kathryn Hodge
π° Level: Advanced
β° Duration: 2h 6m
π
Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.
π Topics: Databases, Python
π€ Join @python_trainings for more courses
π12π₯2π1
πΈ Full description πΈ
To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.
To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.
π21β€5π₯2π1
Advanced Python: Working with Databases.zip
275 MB
π17β€12π4
Advanced Python: Working with Databases.zip
275 MB
π20β€10π1
π
Low Battery Notification
pip install psutil
import psutil
battery = psutil.sensors_battery()
plugged = battery.power_plugged
percent = battery.percent
if percent <= 30 and plugged!=True:
# pip install py-notifier
# pip install win10toast
from pynotifier import Notification
Notification(
title="Battery Low",
description=str(percent) + "% Battery remain!!",
duration=5, # Duration in seconds
).send()
π83β€46π₯16π12
π
Countdown timer
import time
def countdown(t):
while t:
mins, secs = divmod(t, 60)
timer = '{:02d}:{:02d}'.format(mins,secs)
print(timer, end="\r")
time.sleep(1)
t -= 1
print('Timer completed!')
t = input('Enter the time in seconds: ')
countdown(int(t))
π₯36π29β€19π11
π
Convert JPG to PNG
π Convert PNG to JPG
from PIL import Image
im = Image.open("naruto.jpg").convert("RGB")
im.save("naruto.png", "png")
π Convert PNG to JPG
from PIL import Image
im = Image.open("naruto.png").convert("RGB")
im.save("naruto.jpg", "jpeg")
pip install PIL
π38β€9π₯5