Paano at Estilo


In this video, I will be providing you with a walkthrough on how to build an advanced multi-agent AI app through Python, Langflow, Astra DB, Streamlit, and more. This app will use multiple LLMs that to handle different tasks, routing those tasks to different LLMs, and will even have a full frontend that allows you to interact with the completed application. It's one of the most advanced AI apps I've built on this channel so be sure to stick to the very end of this tutorial to learn everything it has to offer and have the power to build some insanely cool apps.
🎞 Video Resources 🎞
Get started with DataStax: https://dtsx.io/techwithtim-astradb
Langflow Github Rep: https://dtsx.io/techwithtim-langflow
Check out DataStax AI PaaS: https://dtsx.io/techwithtim-aipaas
Code in this video (prompts/code/flows): https://github.com/techwithtim..../Advanced-Multi-Agen
If you want to land a developer job check out my program with CourseCareers: https://techwithtim.net/dev
⏳ Timestamps ⏳
00:00:00 | Video Overview
00:01:26 | Project Demo
00:05:10 | Langflow Setup
00:08:03 | Building a Simple Flow/Agent
00:17:45 | Building a Complex Flow/Agent
00:39:35 | Using the AI From Python Code (Locally) | 00:39:35
00:46:50 | Using the AI From Python Code (Cloud)
00:53:40 | Frontend Setup
00:56:07 | Personal Data Form
01:01:57 | Saving Data in AstraDB
01:17:05 | Updating Data in AstraDB
01:26:27 | Nutrition Form
01:39:27 | Handling Notes
01:44:09 | Ask AI Feature
Hashtags
#aiagents #advanced #tutorial


In this Python Programming Tutorial for Beginners video I am going to show you How to Install Pip packages on Ubuntu 18.04 or How to use Ubuntu 18.04 Linux for installing and managing Pip and PyPI (Python Package Index) Python packages. So What Is PIP for Python? The pip is a command line tool for installing and managing Python packages, which a generally available in the Python Package Index. The official website for Python Package Index (PyPI) is https://pypi.org. PyPI enables us to find and install python related software developed and shared by the Python community. How to Install PIP for Python on Windows, Mac, and Linux ?
So let us see How to Install Python Pip On Ubuntu 18.04?
Give the following command to get the help:
pip --help
Usage:
pip [command] [options]
Commands:
install Install packages.
download Download packages.
uninstall Uninstall packages.
freeze Output installed packages in requirements format.
list List installed packages.
show-Show information about installed packages.
check-Verify installed packages have compatible dependencies.
config - Manage local and global configuration.
search-Search PyPI for packages.
wheel-Build wheels from your requirements.
hash-Compute hashes of package archives.
completion-A helper command used for command completion.
help Show help for commands.
#PythonTutorialforBeginners #ProgrammingKnowledge #LearnPython #PythonCourse.
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!


Coding/Programming using HTML, CSS, JavaScript, Python, Java, C++ on the iPad Pro is a decent experience.
In this video I'll show you the apps, I tried to code on the iPad
*My accessories links*
iPad pro 2020 11 inch grey - 128 gb https://amzn.to/37PFieP
Ipad pro 2020 11 inch - 256 gb silver (my model) https://amzn.to/3ex6uRJ
Type-C to USB 3.1 https://amzn.to/2YiIjRK
Apple Pencil (2nd gen) https://amzn.to/36RKWws
ESR Magnetic Cover https://amzn.to/2McWVen
Logitech MX Master 2S mouse: https://amzn.to/3dfJbe8
Mechincal Keyboard: https://amzn.to/2V4FNwd
--------------------------------
Termius - SSH client
https://apps.apple.com/us/app/....termius-ssh-client/i
Inspect Browser
https://apps.apple.com/us/app/....inspect-browser/id12
Code Editor (25 $)
https://apps.apple.com/us/app/....code-editor-by-panic
Alternative - Koder (Free)
https://apps.apple.com/us/app/....koder-code-editor/id
Dash Api Offline Documentation
https://apps.apple.com/us/app/....dash-offline-api-doc
Pythonista(10 $)
https://apps.apple.com/us/app/....pythonista-3/id10859
https://www.gitpod.io
Gitpod is an online IDE for GitHub and GitLab


Learn how to code a Discord bot using Python and host it for free in the cloud using Repl.it.
🚨Note: At 16:43, Replit now has a new method for environment variables. Check the docs: https://docs.replit.com/progra....mming-ide/storing-se
Along the way, you will learn to use Repl.it's built-in database and create a Discord bot that uses webhooks to connect with GitHub.
Need help with this tutorial? You can ask questions here: https://forum.freecodecamp.org/
This course was developed by Beau Carnes.
🔗 Online code editor: https://repl.it
🔗 Discord Home Page: https://discord.com/
🔗 Discord Developer Portal: https://discord.com/developers/applications
💻 Python server code for bot: https://gist.github.com/beauca....rnes/51ec37412ab181a
💻 Full code on repl.it: https://repl.it/@BeauCarnes/Encourage-Bot
⭐️ Course Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (01:18) Creating a Discord Server
⌨️ (01:52) Creating a Bot User
⌨️ (06:05) Starting a Project in Repl.it
⌨️ (09:33) Coding a Basic Discord Bot
⌨️ (20:14) Improving the Bot
⌨️ (33:35) Using the Repl.it Database to Store Bot Settings
⌨️ (56:09) Testing the Bot
⌨️ (58:42) Creating a Web Server for the Bot
⌨️ (1:03:36) Connecting Uptime Robot So Bot Runs Continuously
⌨️ (1:05:21) Creating a GitHub Discord Bot Using Webhooks
Special thanks to Repl.it for providing a grant that made this course possible.
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
![APPRENDRE PYTHON [TUTO PROGRAMMATION COMPLET DÉBUTANT]](https://i.ytimg.com/vi/oUJolR5bX6g/maxresdefault.jpg)

Vous souhaitez apprendre la programmation de manière simple et efficace ?
Vous êtes totalement débutant et vous n'avez pas beaucoup de temps ?
👉 Je vous propose ce tutoriel complet et gratuit : Apprendre la programmation avec le langage Python.
A la fin de ce tutoriel vous aurez les bases nécessaires en programmation pour savoir déjà créer vos premiers programmes avec Python.
Pourquoi le langage Python est idéal pour débuter ?
👉 Il est facile à apprendre moderne et Polyvalent. Et il permet de créer tous types de projets : applications web avec DJango, applications mobiles iOS et Android avec Kivy, Data sciences, Machine learning...
Bon apprentissage 🙂, un like 👍 = encore plus de tutoriels à venir...
AU PROGRAMME :
-----------------------------
00:00:00 - Introduction
00:01:33 - ETAPE 1 : Installation des logiciels sur votre ordinateur (Windows ou Mac)
00:01:53 - Installation de Python (Python version 3)
00:05:43 - Installation de PyCharm (Environnement de développement)
00:11:48 - Installation de Visual Studio Code
00:15:31 - ETAPE 2 : Les concepts de la programmation (variables, fonctions, boucles...)
00:16:06 - Comment fonctionne la programmation ?
00:24:58 - ETAPE 3 : Création d'un premier programme en Python
00:36:39 - CONSEIL : Les interfaces graphiques (Jeux, applications mobiles iOS/Android, web...)
00:38:02 - Demander des données à l'utilisateur
00:42:05 - EXERCICE : Demander l'age de l'utilisateur
00:44:36 - CONSEIL : Quels types de projets vous voulez faire avec Python ?
00:45:10 - Les commentaires dans le code
00:48:39 - Variable numérique
00:55:34 - Convertir une chaîne en entier
00:57:58 - Erreurs et gestion des exceptions
01:02:42 - CONSEIL : Téléchargez la fiche récap (fichier PDF)
01:03:19 - La boucle "While"
01:10:31 - Améliorer notre programme avec la boucle
01:16:11 - Utiliser le debugger
01:20:24 - CONSEIL : Savoir debugger vous rendra "invincible" en programmation
01:21:34 - EXERCICE : Tester si le nom est vide
01:24:01 - Améliorer notre programme : Fonction
01:30:22 - EXERCICE : Créer une fonction pour demander le nom
01:32:18 - Variable globale et paramètre
01:37:53 - EXERCICE : Créer une fonction pour afficher les informations
01:40:12 - Condition et variable "Booléen"
01:44:10 - Condition "elif"
01:50:00 - EXERCICE : Conditions
01:52:50 - Condition ET / OU
01:55:36 - La boucle "For"
02:00:20 - Nombres à virgules et paramètre optionnel
02:04:04 - Les chaînes formatées
02:08:30 - Synthèse et idées
02:14:20 - Conclusion
LES LIENS :
-------------------
[1] Rejoindre le "groupe privé des développeur"
https://bit.ly/3jXponO
[2] Téléchargez la fiche récapitulative au format PDF
https://bit.ly/3dtvh9L
[3] Découvrez la formation complète "Développeur Python"
https://bit.ly/3nPfaYV
Allez plus loin sur votre apprentissage de python:
- Apprenez la programmation orientée objet
- Apprenez les notions avancées du langage Python
- Et bien plus
Créez tous types de projets:
- Projets web : HTML / CSS / DJANGO
- Applications mobiles : iOS et Android
- Applications bureau : PC et Mac
- Découvrez les "super-projets" exclusifs: GALAXY et MR BEAT.
https://bit.ly/3nPfaYV
A PROPOS :
-------------------
Développeur passionné avec plus de 16 ans d'expérience professionnelle, je suis actuellement développeur freelance spécialisé dans les applications mobiles iOS et Android, et les serveurs WEB. Je travaille à distance avec mes clients.
Sur cette chaine, je vous propose de découvrir la programmation d'une manière différente : je vous apporte ma pédagogie et mes techniques professionnelles.
L'objectif ? Vous permettre d'apprendre la programmation, de devenir un meilleur développeur, de vous professionnaliser, et pourquoi pas de changer de vie.
Abonnez-vous à la chaine pour accéder aux nouvelles vidéos sur les sujets suivants:
- Tuto programmation (Python, C#, .NET, ...)
- Devenir développeur freelance
- Programmation d'applications mobiles iOS et Android
- Programmation WEB
Mon profil Linked-In : https://www.linkedin.com/in/rouxjonathan/
Mon site de freelance : https://jonathanroux.fr
Mon site de formations : https://codeavecjonathan.com


In this video I am going to show How to Set Up Python Development environment in Atom in windows 10. I am also going to show ow to debug your python code using vs code. This process will also cover How to Install Python and Atom for Windows 10. You are going to Learn how to use the Atom IDE which is a cross-platform, free, and open source for all your Python development. We will see how to add Python Extension in Atom , add linting, add debugging and more.
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Angular 8 - Complete Essential Guide - http://bit.ly/2lYvYRP
Kotlin Android Development Masterclass - http://bit.ly/2GcblsI
Learn iOS Programming Building Advance Projects - http://bit.ly/2kyX7ue
★★★ Follow ★★★
My Website - http://www.codebind.com
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!


Carlton Gibson, Django Software Fellow and Django maintainer, joins Nina Zakharenko to show how to set up a Python application with Django REST Framework and develop with Visual Studio Code, from installing the Python extension to using the integrated terminal and debugging. Visual Studio Code is free and open source, and runs on macOS, Linux and Windows.
[00:50] Demo Start
#python #django #vscode
Python on Visual Studio Code
https://aka.ms/azfr/504/01
Python on Azure
https://aka.ms/azfr/504/02
4 new Python/Django video tutorials for productive cloud development (blog post)
https://aka.ms/azfr/504/03
carltongibson/rest-framework-tutorial (GitHub repo)
https://aka.ms/azfr/504/04
Create a free account (Azure)
https://aka.ms/azfr/504/free
Python on Azure series:
Python on Azure: Part 1, Building Django apps with Visual Studio Code
https://youtu.be/0Bk0dw2Ktbg
Python on Azure: Part 2, Deploying Django services to Azure Web Apps
https://youtu.be/FHJvsvbD_cQ
Python on Azure: Part 3, CI/CD with Azure Pipelines
https://youtu.be/OMtpVqzpJ9w
Python on Azure: Part 4, Running serverless Django apps with Functions
https://youtu.be/bEsgi1oi8qc


In today's video we learn how to make a multiplayer version of the game "Snake" using Python. It uses asyncio for the networking and graphics.py for the visuals, but everything else is made from scratch. There's a crash course in networking at the end and a good explanation of the observer pattern, but currently the client is broken and can't listen to the server. Huge points if you can fix it :)
Source Code: https://github.com/Shifty-The-....Dev/MultiplayerSnake
Client vs Server by @LiveOverflow: https://www.youtube.com/watch?v=VXmvM2QtuMU&t=1s
Icons by Icons8: https://icons8.com/
Music:
chill by sakura Hz
Hall of the Mountain King
Edited in Davinci Resolve


In this video we will build a CRUD GUI app with Python, the Tkinter library and Sqlite3
Sponsor: Linode Cloud Hosting
Get $20 Free by visiting https://www.linode.com/traversy
Code:
https://github.com/bradtraversy/part_manager
💖 Become a Patron: Show support & get perks!
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Website & Udemy Course Links:
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Resources:
I first learned about Tkinter from this great Udemy course so I want to give him credit:
https://www.udemy.com/course/t....he-python-mega-cours


Welcome to this Streamlit Python tutorial, where we will dive into creating an interactive machine-learning web application using the Streamlit framework! In this comprehensive project-based course, you'll learn how to build a machine-learning dashboard to predict whether a cell cluster is benign or malignant using Python and Streamlit. This tutorial is perfect for beginners, experienced developers, and data scientists looking to learn how to create powerful machine-learning projects that integrate with web applications.
-----------------------
🔥 Useful links:
- Github project: https://github.com/alejandro-a....o/streamlit-cancer-p
- Blog post: https://alejandro-ao.com/posts..../data-science/stream
💬 Join the Discord Help Server - https://link.alejandro-ao.com/HrFKZn
❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq
✉️ Join the mail list: https://link.alejandro-ao.com/AIIguB
------------------------
🚀 What you'll learn in this tutorial:
How to create a Streamlit dashboard
Training a logistic regression model for machine learning
Visualizing data using Plotly
Displaying predictions based on user input
Creating an AI full-stack app using Python
In this video tutorial, we train a logistic regression model using machine learning in Python. We will be using a dataset to predict whether a cell cluster is benign or malignant. Once our model is ready, we will integrate it into a Streamlit application that runs in the web browser. You'll see how easy it is to create an interactive dashboard using Streamlit and Python!
Next, we will visualize our data using Plotly to create informative and interactive charts. These visualizations will help users understand the predictions made by our machine-learning model. We'll then display the predictions based on the user's input, making our dashboard not only visually appealing but also highly functional.
Throughout the tutorial, we'll explore various techniques and best practices used by experts like Nicholas Renotte and Patrick Loeber. This Streamlit tutorial is an excellent resource for data science dashboard projects and a great way to learn how to create a machine learning app.
By the end of this course, you will have created an AI full-stack app using Python, Streamlit, and machine learning. You'll be ready to tackle your own machine-learning projects and create amazing data science dashboards!
Don't forget to like, comment, and subscribe to stay updated with more tutorials and projects in machine learning, data science, and web app development!
⏰ Timestamps
0:00 Intro
2:56 Download the data
6:23 Project setup
8:21 Clean the data
14:00 Train the model
21:06 Test the model
26:39 Export the model and scaler
32:33 Create the Streamlit app
38:48 Create the layout
44:18 Add the sidebar inputs
58:52 Create the chart
1:17:22 Scale the values for chart
1:25:30 Display the predictions
1:39:08 Add custom CSS
1:52:00 Deploy your app
🎯 Keywords: Streamlit Python, Streamlit Tutorial, Streamlit Dashboard, Machine Learning Python, Machine Learning App Tutorial, Python App, Machine Learning Projects, Machine Learning Projects for Beginners, Nicholas Renotte, Patrick Loeber, AI App, AI Full-Stack App, Data Science Dashboard, Data Science Dashboard Projects
#python #streamlit #MachineLearning #DataScience


** Python Certification Training: https://www.edureka.co/python **
This Edureka video on 'Python IDLE' will train you to use IDLE which is an IDE that comes as a default implementation when you install python.
Below are the topics covered in this video:
What is IDLE?
IDLE Installation
Working with IDLE
Configuration
Basic Examples
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Palindrome in Python: https://www.edureka.co/blog/py....thon-program-to-chec
Patterns in Python: https://www.edureka.co/blog/python-programs/
#Edureka #PythonEdureka #PythonIDLE #pythonProgramming #pythonTutorial #PythonTraining
Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
-----------------------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course
Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:
1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
- - - - - - - - - - - - - - - - - - -
Why learn Python?
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
Who should go for python?
Edureka’s Data Science certification course in Python is a good fit for the below professionals:
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This tutorial demonstrates how to build and deploy an android app to your smartphone. The app was programmed with python and the kivy framework. Buildozer, the android debug bridge and the ubuntu subsystem were used to build, deploy and debug the android app. This tutorial works also perfectly fine for Ubuntu.
If anything is unclear, feel free to ask and write a comment.
▬ Links ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Code of this tutorial:
https://github.com/denczo/kivy_examples
ADB for Windows:
https://dl.google.com/android/....repository/platform-
▬ Commands ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Download project
git clone https://github.com/denczo/kivy_examples
► Install buildozer:
git clone https://github.com/kivy/buildozer.git
cd buildozer
sudo python3 setup.py install
► Required libraries and tools:
sudo apt-get update
sudo apt-get install openjdk-8-jdk
sudo apt-get install unzip
sudo apt install python3 python3-pip ipython3
sudo apt install cython
sudo apt-get install autoconf
sudo apt install build-essential libltdl-dev libffi-dev libssl-dev python-dev
sudo pip3 install --upgrade cython
sudo apt-get install zip
► Build & Deployment
buildozer android debug deploy run logcat
adb -s DEVICE_ID logcat *:S python:D
adb -s DEVICE_ID install name.apk
► Connection to phone
adb devices
cmd:
adb tcpip 5555
wsl2 (ubuntu subsystem):
adb connect YOUR_IP:5555
▬ Chapters ► ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► 0:00 - Intro
► 0:27 - Install Ubuntu Subsystem
► 2:00 - Install Buildozer
► 4:44 - Buildozer Configuration (Buildozer.spec)
► 10:44 - Build .apk with Buildozer
► 13:50 - Connect Android Phone to PC
► 18:25 - Deploy .apk to Android Phone
► 19:27 - Debug App on Android Phone via terminal
► 21:50 - Outro
▬ Programming ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Pycharm Community Edition
► Python 3.8.1
► Kivy 2.0
▬ Editing ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
► Sony Vegas Pro Edit 14
► OBS
► t.bone SC400
► Cheap Webcam


In this fun project you learn how to build a custom chatbot in Python and then integrate this to a website using Flask and JavaScript.
Starter Files: https://github.com/patrickloeb....er/chatbot-deploymen
Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook
Chatbot with PyTorch Tutorial: https://youtu.be/RpWeNzfSUHw
✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer *
⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN
📓 ML Notebooks available on Patreon:
https://www.patreon.com/patrickloeber
If you enjoyed this video, please subscribe to the channel:
▶️ : https://www.youtube.com/channe....l/UCbXgNpp0jedKWcQiU
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~
🅿 Patreon - https://www.patreon.com/patrickloeber
#Python #JavaScript
Timeline:
00:00 - Introduction
01:00 - Setup
05:14 - Project Files
08:15 - Flask app
15:41 - JavaScript code
25:47 - Standalone Frontend
----------------------------------------------------------------------------------------------------------
* This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏


This video is made with a lot of love from Apna College ❤️
Are you worried about placements/internships? Want to prepare for companies like Microsoft, Amazon & Google? Join ALPHA Plus.
🔴 Alpha Placement Batch - https://bit.ly/3ELJjn2
🔥For (Window Users) download PyScripter - https://rb.gy/bvnn69 - Free & Open Source
Download Python - (https://www.python.org/) (Windows & Mac)
Note - This video shows installation of 2 Python editors, both are free to use. For window users I have downloaded PyScripter in this video.
Link to the Notes - https://drive.google.com/drive..../folders/1wfNTKinBAV
Join the Apni Community🔥 : https://telegram.me/+k4rdgTPwmm5kMGVl
Timestamps :
00:00 - Introduction
01:38 - Install Python (Windows & Mac - both)
02:14 - Install PyScripter (only for Windows)
02:56 - How to work with PyScripter?
05:21 - Install PyCharm (Windows & Mac - both)
07:44 - Creating a file
09:05 - 1st Program (Output)
11:18 - Variables
15:04 - Exercise 1
15:50 - Input
17:18 - Concatenation
17:30 - Exercise 2
17:52 - Type Conversion
21:29 - Print Sum of 2 Numbers
23:35 - Strings
28:48 - Keywords
30:21 - Arithmetic Operators
33:06 - Shortcuts
34:00 - Operator Precedence
35:20 - Comments
36:53 - Comparison Operators
39:05 - Logical Operators
40:36 - If-else
44:32 - Mini-Project
47:51 - Range
48:56 - Loops (while Loop)
53:16 - for Loop
54:21 - List
57:48 - for Loop in List
01:01:14 - Break & Continue
01:03:54 - Tuple
01:06:04 - Set
01:08:24 - Dictionary
01:10:45 - Functions


What's happening guys, welcome to the fifth episode of CodeThat!
In this ep I try to build a machine learning app to for deploying scikit-learn models using the titanic dataset using nothing but Python. In this case we used a XGBoost model, Streamlit, Pandas and Numpy!
Get the Code: https://github.com/nicknochnack/StreamlitTitanic
Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
#machinelearning #codingchallenge #tkintertutorial #python


This video is made with a lot of love from Apna College ❤️
Are you worried about placements/internships? Want to prepare for companies like Microsoft, Amazon & Google? Join ALPHA Plus.
🔴 Alpha Placement Batch - https://bit.ly/3ELJjn2
🔥For (Window Users) download PyScripter - https://rb.gy/bvnn69 - Free & Open Source
Download Python - (https://www.python.org/) (Windows & Mac)
Note - This video shows installation of 2 Python editors, both are free to use. For window users I have downloaded PyScripter in this video.
Link to the Notes - https://drive.google.com/drive..../folders/1wfNTKinBAV
Join the Apni Community🔥 : https://telegram.me/+k4rdgTPwmm5kMGVl
Timestamps :
00:00 - Introduction
01:38 - Install Python (Windows & Mac - both)
02:14 - Install PyScripter (only for Windows)
02:56 - How to work with PyScripter?
05:21 - Install PyCharm (Windows & Mac - both)
07:44 - Creating a file
09:05 - 1st Program (Output)
11:18 - Variables
15:04 - Exercise 1
15:50 - Input
17:18 - Concatenation
17:30 - Exercise 2
17:52 - Type Conversion
21:29 - Print Sum of 2 Numbers
23:35 - Strings
28:48 - Keywords
30:21 - Arithmetic Operators
33:06 - Shortcuts
34:00 - Operator Precedence
35:20 - Comments
36:53 - Comparison Operators
39:05 - Logical Operators
40:36 - If-else
44:32 - Mini-Project
47:51 - Range
48:56 - Loops (while Loop)
53:16 - for Loop
54:21 - List
57:48 - for Loop in List
01:01:14 - Break & Continue
01:03:54 - Tuple
01:06:04 - Set
01:08:24 - Dictionary
01:10:45 - Functions


This tutorial shows you the basics of installing the OpenPyXl module, how to access data and information out of an Excel file, and then how to read the data, modify the data, and save changes!
This is a beginner introduction to using excel with python, if you want to see more advanced operations and automation, let me know in the comments!
Check out my personal channel for more fun science content!
https://www.youtube.com/@peterlemaster8310
Thanks for watching and good luck with your code!