How-to & Style
Stay tuned for more content as we continue our journey through the Backend Dev! 🚀 and make sure to explore the upcoming courses at https://sheryians.com/
Instructor in this video: Ankur Prajapati
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I walk through how to deploy Python Flask applications to Google Cloud Platform as an alternative to Heroku or AWS for PaaS.
1. Create a new project in Google Cloud console
2. Activate cloud shell button (top right)
3. Clone Google's repo at https://github.com/GoogleCloud....Platform/python-docs into the project
4. Click on Open Editor (within the Cloud shell)
5. Expand appengine, flexible, hello_world (confirm you can see the .py file for the Flask example)
Note that the file: app.yaml is where you add additional PaaS config settings for GCP
6. In the console, cd to the hello_world dir and run command: gcloud app deploy
7. If you are asked to set PROJECT_ID, run following command: gcloud config set project [PROJECT_NAME]
8. After a few minutes, your project should be live and it will have a link you can go to access your application!
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🚨🚨📢📢 NEW AI Drone Programming Course 🚨🚨📢📢
https://www.kickstarter.com/pr....ojects/cvweb/ai-dron
This is the Drone programming with python course. Here we are going to learn the basics of a drone including the components and how the drone flies. Then we will look at the installations and the basic movements along with image capture. From there we will create exciting projects including Surveillance drones, Face tracking, and line following drones.
If you are a beginner don't worry this course is for you we will focus on the implementation part so that you can get the most practical experience out of this. And even though we will be using a specific drone for this course 80% of the material covered in this course can be used with any drone.
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Time Stamps:
00:00 Intro
1:00 What is a drone?
2:14 Components of a drone
05:56 How does a drone fly?
08:42 Tello Drone
11:25 App Setup and Test Run
15:07 Installations
19:21 Basic Movements
31:16 Image Capture
36:27 Keyboard Control
59:13 Project 1 - Surveillance
1:10:34 Project 2 - Mapping
1:52:15 Project 3 - Face Tracking
2:32:18 Project 4 - Line Follower
The web is full of data. Lots and lots of data. Data prime for scraping. But manually going to a website and copying and pasting the data into a spreadsheet or database is tedious and a time consuming. Enter web scraping! This guide will show you how to get started in scraping web data to your hearts content in 8 minutes!
_____________________________
📲🔗🔗📲 IMPORTANT LINKS 📲🔗🔗📲
_____________________________
• 💻PROJECT PAGE💻 - https://github.com/gigafide/basic_python_scraping/
• Python 3 - https://www.python.org/downloads/
• BeautifulSoup - https://www.crummy.com/softwar....e/BeautifulSoup/bs4/
• Scraper Testing Website - http://quotes.toscrape.com/
• Thonny - https://thonny.org/
_____________________________
📢📢📢📢 Follow 📢📢📢📢
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https://redd.it/5o3tp8
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00:00 Introduction
00:42 Setup
01:16 Background
02:23 Legality Concerns
02:51 Writing The Code
06:47 Conclusion
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Content:-
---‐---‐--------------
Writer ✍️:- Ankush
Voice 🔊:- Akhilesh & Ankush
----‐--------------------------
Thank You 😊
------‐------------------------
Introduction to Python | Python Introduction | in Telugu
subscribe my channel : www.youtube/SBTechTuts
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#Pythonintroduction
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Introduction to Python | Python Introduction | in Telugu
Introduction to Python | Python Introduction and Applications | Applications of Python | in Telugu
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Introduction to Python | Python Introduction and Applications | Python Programming | in Telugu
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by sudhakar bogam
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This video covers Applications of python by Gaurav Sir.
The course is designed in such a manner that from beginners to master everyone will learn something new in every class.
We try to explain everything in less time and cover almost everything need to learn. You will learn from the very basic but reach master level programmer.
All Lectures are in Hindi+English.
If you like this video please like and share it. Don't forget to subscribe to the channel.
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We have trained over 5000+ students in our offline classes, and thousands through online portals.
Our students are placed in world top MNC's such as SAP, Google, TCS, Goldman Sachs, IBM International, Persistent, Cognizant, Wipro, Infosys, Mindtree, etc.
Our vision is to give students updated knowledge and make them aware of various aspects of technology so that get easy placements in their dream companies :)
This video shows how to use APIs in python to build a live trading bot. The market is scanned by the bot and the prices are downloaded for analysis. A simple strategy is presented to generate long and short signals using engulfing candles as an example. Buying and selling orders are executed from our jupyter notebook file. It's a very powerful method that you can implement to test any strategy live in real time for as long as you wish... and it's all free you don't have to pay for the practice oanda account nor to use python so nothing to loose!
💲 Discount Coupon for My Udemy course on Algorithmic Trading:
https://bit.ly/CouponAlgorithmicTrading
📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python):
https://a.co/d/6woMBHt
The jupyter notebook file can be downloaded from the following link:
https://drive.google.com/file/....d/1akgyiR2lFOPT3OLjL
Good luck and thank you for following!
How to use Python On Phone ? | Part 1 | Python For Beginner | Pydroid 3 Tutorial | Friendly Coder
Hey, this is a Free of cost Coding on phone course.
Pydroid 3 Application -
https://play.google.com/store/....apps/details?id=ru.i
Check out these exciting playlists of my channel :
▶Pydroid 3 Tutorials - https://www.youtube.com/watch?v=Ul1EVR9z4MY&list=PLgcXvBoDmKKoMIiBdd9imoyGV3c-BQzDY
▶Pycharm Tutorials -
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▶Python Projects -
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•For Business Related :
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If you enjoyed the video then, please like the video and also subscribe to my channel.
Thank You
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In this video you will learn step by step Python Interactive Dashboard Development using Streamlit and Plotly just like PowerBI and Tableau etc.
Streamlit is a popular Python library used for building interactive web applications and dashboards. It simplifies the process of creating data-driven applications by providing a straightforward and intuitive interface. Here are some key uses of Streamlit in Python dashboards
* Rapid Prototyping:
* Data Visualization:
* User Interaction:
* Integration with Machine Learning Models:
* Sharing and Deployment:
⭐Content⭐
In this video, you will learn: ⚡
1.) Utilizing Streamlit to create interactive plots
2.) Navigating and uploading raw data into the dashboard
3.) Creating titles, headings, headers, or subheaders in Streamlit
4.) Generating segments for plots within Streamlit
5.) Adding a date picker to the dashboard
6.) Handling and transforming data using Python Pandas with Streamlit
7.) Creating a side pane with multiple select filters
8.) Transforming data using Pandas
9.) Visualizing data using Python Plotly and plotting all graphs within the Streamlit environment
10.) Performing Time Series Analysis in Streamlit
11.) Downloading or viewing data based on plots
12.) Creating a hierarchical view of sales using TreeMap
13.) Creating data tables using Plotly Figure_Factory
14.) Applying styles to data within Streamlit
15.) Viewing or downloading data using Streamlit
16.) Performing Data Analysis and Data Visualization using Python Streamlit
17.) Examples...
Overall, Streamlit simplifies the process of creating interactive Python dashboards by providing an intuitive interface, data visualization capabilities, user interaction features, and easy deployment options. It is a powerful tool for data scientists, developers, and anyone looking to showcase data and insights in an engaging and accessible manner.
Pandas and Plotly are powerful libraries that play essential roles in dashboard development.
➖➖➖➖➖➖➖➖ ➖➖➖➖➖➖➖➖
👍 Pandas:
1.) Data Manipulation
2.) Data Cleaning and Preprocessing
3.) Data Integration
4.) Data Transformation
👍 Plotly:
1.) Interactive Data Visualization
2.) Dynamic Updating
3.) Intuitive Interactivity
4.) Dash Integration
In summary, Pandas and Plotly complement each other in dashboard development. Pandas helps with data manipulation, cleaning, and preprocessing, while Plotly enables interactive and visually appealing data visualizations. Together, they empower you to build powerful and insightful dashboards that effectively present and analyze data.
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Interactive Web Portfolio using Python Streamlit : https://youtu.be/rviQtjkxQQY
Raw Data Set : https://community.tableau.com/....s/question/0D54T0000
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Python Streamlit Dashboard Source Code: https://github.com/AbhisheakSa....raswat/PythonStreaml
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Let's automate some lights with python?
Kite helps fund the channel, thanks for checking them out and supporting me --
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=derricksherrill&utm_content=description-only
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*****************************************************************
Full code from the video:
from phue import Bridge
from ip_address import bridge_ip_address
import time
def access_lights(bridge_ip_address):
b = Bridge(bridge_ip_address)
light_names_list = b.get_light_objects('name')
return light_names_list
def film_lights():
lights = access_lights(bridge_ip_address)
for light in lights:
lights[light].on = True
lights[light].hue = 7000
lights[light].saturation = 100
def danger_mode():
lights = access_lights(bridge_ip_address)
while True:
time.sleep(1)
for light in lights:
lights[light].on = True
lights[light].hue = 180
lights[light].saturation = 100
time.sleep(1)
for light in lights:
lights[light].on = True
lights[light].hue = 7000
lights[light].saturation = 100
if __name__ == '__main__':
film_lights()
Thanks so much for all the continued support! You guys are awesome. Super thankful that I get the opportunity to make youtube videos for you all. I hope you enjoy this one - A bit different than what I typically put out, but just testing to see if it's a style that you all like. Let me know!
https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/hue_lights.py
Packages (& Versions) used in this video:
PHue - https://github.com/studioimaginaire/phue
Time
*****************************************************************
Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com
Check out my website:
https://www.derricksherrill.com/
If you liked the video - please hit the like button. It means more than you know. Thanks for watching and thank you for all your support!!
--- Channel FAQ --
What text editor do you use?
Atom - https://atom.io/
What Equipment do you use to film videos?
https://www.amazon.com/shop/derricksherrill
What editing software do you use?
Adobe CC - https://www.adobe.com/creativecloud.html
Premiere Pro for video editing
Photoshop for images
After Effects for animations
Do I have any courses available?
Yes & always working on more!
https://www.udemy.com/user/derrick-sherrill-2/
Where do I get my music?
I get all my music from the copyright free Youtube audio library
https://www.youtube.com/audiolibrary/music?nv=1
Let me know if there's anything else you want answered!
-------------------------
Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!
In this Video I am going to show How to Download and install Anaconda (Python distribution) on your Windows 10 operating system. So what is Anaconda ? Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications. It can be installed on Windows, Linux, and MacOS.Conda is an open source, cross-platform, package management system. Anaconda comes with so very nice tools like: JupyterLab, Jupyter Notebook,
QtConsole, Spyder, Glueviz, Orange, Rstudio, Visual Studio Code.
I will also show How to use Jupyter Notebook and How to use Spyder using Anaconda.
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In this video, learn how to download and install Python's Latest Version on Linux. We will also install PIP, which is used to download, install and manage Python packages and libraries.
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I am Amit Diwan, a self-made Entrepreneur, running "Amit Thinks", a Tech YouTube Channel. Also running an E-Learning website "studyopedia.com". We publish videos in English and Hindi on Programming, Databases, and Web Dev Technologies. I have left a job offer from Accenture and 3 government jobs to follow my dream of being an entrepreneur.
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Today we learn how to properly import your own Python modules and also what the __init__.py file is about.
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In this tutorial we build a stock prediction web app in Python using streamlit, yahoo finance, and Facebook Prophet
NOTE: Some have trouble installing this on Windows because of pystan: Follow the official docs (https://facebook.github.io/pro....phet/docs/installati which shows how to install it for Windows and Linux. Or a simpler way would be to use Anaconda and then: conda install -c conda-forge prophet.
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Create a local development server for Python apps with Vagrant, VirtualBox, Salt and Python3.
GitHub Code: https://github.com/LondonAppDe....v/video-tutorial-pyt
Before getting started, here are the requirements to install locally:
Git-SCM: https://git-scm.com/
VirtualBox: https://www.virtualbox.org/
Vagrant: https://www.vagrantup.com/
In this video I'm going to show you how to make a local development server for Python applications using VirtualBox and Vagrant.
So I've created a Vagrant box which I'm going to show you how to clone so that you can get up and running with a local Python development server in a matter of minutes.
00:00 Introduction
00:31 Install VirtualBox from virtualbox.org https://www.virtualbox.org/
00:46 Next install Vagrant https://www.vagrantup.com/
00:51 Install git https://git-scm.com/
01:23 Introduction to the base project we’ll be using called video-tutorial-Python-DRF-intro https://github.com/LondonAppDe....v/video-tutorial-pyt
01:55 Start by cloning the base project
02:10 Go to terminal or command prompt and change to a directory where you’ll want to keep your project files
02:23 Change directory using the CD command and then type git clone and then paste the URL of the repository there.
02:59 To launch server head into the deploy file and type vagrant up and enter.
03:46 From deploy folder type vagrant up to run your server
04:26 Open the project files in your favorite text editor
04:36 Type vagrant up to build a server to the specifications defined in that Vagrant file.
04:57 Type vagrant SSH to connect to your local development server.
06:31 Inside the vagrant.configure statement we define the box.
07:31 Type a local host port 8000 to map to development server.
08:34 Create a new file called HelloWorld.py
09:41 Use a salt provisioner, saltstack to define what you want installed on your server
10:37 Because the salt provisioner uses git, do this manual shell command to install Python git
12:01 Server is set up and we created our hello world file.
12:13 Install virtual env wrapper
14:36 Intro to Installing packages in our virtual environment
Let me know how you get on. If you have any questions at all then please feel free to leave them in the comments and thanks a lot for watching.
Cheers.
Check out my tutorials on http://www.londonappdeveloper.com/
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