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Build Full Stack Web Apps in Pure Python with Reflex - No Javascript Required 121gamers 0 Ansichten • 7 Monate vor

Web apps built in pure Python? No JavaScript? Yup, that's what Reflex does.

💻 Code 👉 https://github.com/codingforen....trepreneurs/full-sta
⭐️ Reflex Docs 👉 https://reflex.dev/docs
▶️ Subscribe 👉 https://cfe.sh/youtube
⚙️ Guide to Install Python 3 on Mac/Linux: https://cfe.sh/guides/install-python-on-macos/
⚙️ Guide to Install Python 3 on Windows: https://cfe.sh/guides/install-python-on-windows/

Chapters
0:00:00 Welcome
0:02:53 Demo
0:12:34 Getting Started with Full Stack Python
0:20:05 Dynamic Content and on_click Events
0:25:17 HTML Inputs for Dynamic Content Changes
0:31:08 Building a Custom Reflex Component
0:39:25 Using the Navbar Recipe
0:43:47 Better Code Management
0:46:37 Identifying Rendered Components in the Browser
0:53:16 Full Width Navbar and Content
1:04:13 Pages and URL Routes
1:08:03 Using Link-based Navigation
1:13:43 Click Events and Reflex Redirect
1:17:21 URL Route Path Constants
1:21:43 Navigation State
1:28:07 Contact Form
1:33:53 Making the Form Responsive
1:40:40 Conditional Rendering in Reflex
1:47:43 Refresh State with Python Asyncio Timeouts
1:49:32 Counting with Asyncio and Reflex
1:53:55 Your First Database Model
2:02:51 Storing Data with Models and Forms
2:09:44 Model Field Changes and Migrations
2:12:15 Adding a DateTime Field
2:17:05 Decouple the Contact Page, State & Model
2:26:49 Listing Stored Database Entries
2:36:49 New Data Model
2:43:24 State for Listing Blog Post Data
2:46:29 List View Route for Blog Posts
2:53:37 Dynamic URL Routing for Detail Pages
3:01:27 Form, State, and Page for New Blog Posts
3:11:41 Editing Pre-Filled Form Input Basics
3:18:47 Edit and Save Database Data
3:31:15 Edit Link & Detail Page Updates
3:35:30 Blog Post Redirect and Urls
3:42:26 Publish Date Toggle
3:51:36 Publish Date Field
4:01:45 Narrow Results with Database Queries
4:07:03 Users with Reflex Local Auth
4:12:30 Customize Login and Register Pages
4:18:22 Extending the Reflex Local Auth User Model
4:22:07 Customize User Registration for Related Model
4:27:15 User SessionState Object
4:34:13 Fixing Registration Bug with Extended Model Data
4:37:20 Creating the Dashboard & Sidebar Layouts
4:47:22 Sidebar Toggle Button and Color Mode Condition
4:54:05 User Dashboard & Logout User
5:05:40 Display Logged-in User Info
5:16:26 Multiple Ways to Associate Users to Data Models
5:28:32 Rendering Related Data
5:38:36 Foreign Key Relationships & The Models Module
5:49:57 Saving UserInfo ID to Related Models
5:58:22 Loading Related data with sqlalchemy `joinloaded`
6:05:24 Managing My Blog Posts
6:13:20 Require Login Decorator
6:14:50 Public Articles Display
6:28:41 Limited Data Results on Dashboard and Landing Page
6:45:22 Theme and Color
6:55:26 Thank you and next steps

Python Tutorial - Python Full Course for Beginners 121gamers 0 Ansichten • 7 Monate vor

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📖 TABLE OF CONTENT
00:00:00 Introduction
00:01:49 Installing Python 3
00:06:10 Your First Python Program
00:08:11 How Python Code Gets Executed
00:11:24 How Long It Takes To Learn Python
00:13:03 Variables
00:18:21 Receiving Input
00:22:16 Python Cheat Sheet
00:22:46 Type Conversion
00:29:31 Strings
00:37:36 Formatted Strings
00:40:50 String Methods
00:48:33 Arithmetic Operations
00:51:33 Operator Precedence
00:55:04 Math Functions
00:58:17 If Statements
01:06:32 Logical Operators
01:11:25 Comparison Operators
01:16:17 Weight Converter Program
01:20:43 While Loops
01:24:07 Building a Guessing Game
01:30:51 Building the Car Game
01:41:48 For Loops
01:47:46 Nested Loops
01:55:50 Lists
02:01:45 2D Lists
02:05:11 My Complete Python Course
02:06:00 List Methods
02:13:25 Tuples
02:15:34 Unpacking
02:18:21 Dictionaries
02:26:21 Emoji Converter
02:30:31 Functions
02:35:21 Parameters
02:39:24 Keyword Arguments
02:44:45 Return Statement
02:48:55 Creating a Reusable Function
02:53:42 Exceptions
02:59:14 Comments
03:01:46 Classes
03:07:46 Constructors
03:14:41 Inheritance
03:19:33 Modules
03:30:12 Packages
03:36:22 Generating Random Values
03:44:37 Working with Directories
03:50:47 Pypi and Pip
03:55:34 Project 1: Automation with Python
04:10:22 Project 2: Machine Learning with Python
04:58:37 Project 3: Building a Website with Django

#Python #AI #MachineLearning #WebDevelopment

How to become a fullstack Python developer !!! 🔥🔥🔥 121gamers 0 Ansichten • 7 Monate vor

How to become a full-stack Python developer !!! 🔥🔥🔥 - In this video, I have told how you can become a full-stack python developer. Full-stack python developer is a very high-paying job which you can choose as a career. A detailed guide and road map for full stack Web development. The front-end and back-end development, programming languages, and frameworks are discussed.

Don't click - https://bit.ly/3EtfXtA

✅ My Second Channel - https://www.youtube.com/channe....l/UCjcju-aD_ZcWxiXF5
✅ Instagram - https://www.instagram.com/_abhijeetgupta/
✅ Linkedin - https://www.linkedin.com/in/gupta-abhijeet/

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Python API Development - Comprehensive Course for Beginners 121gamers 0 Ansichten • 7 Monate vor

Learn Python API development in one of the most comprehensive courses ever on the topic. You will build a full-fledged API in Python using FastAPI. You will learn the fundamentals of API design including routes, serialization/deserialization, schema validation, and models. You will also learn about SQL, testing with pytest, and how to build out a CI/CD pipeline using GitHub actions.

💻 Code: https://github.com/Sanjeev-Thi....yagarajan/fastapi-co

✏️ Course from Sanjeev Thiyagarajan. Check out his channel: https://www.youtube.com/channe....l/UC2sYgV-NV6S5_-pqL

⭐️ Course Contents
00:00 Intro
06:33 Project Overview
11:22 Mac Python Installation
13:15 Mac VS Code install and setup
16:37 Windows Python Installation
18:30 Windows VS Code install and setup
22:11 Python virtual Env Basics
24:35 Virtual Env on windows
28:56 Virtual Env on Mac
34:17 Install dependencies w/ pip
36:21 Starting FastAPI
39:23 Path Operations
53:22 Intro toman
57:34 HTTP Requests
1:07:29 Schema Validation with Pydantic
1:22:45 CRUD Operations
1:29:44 Storing in Array
1:34:06 Creating
1:38:15 Postman Collections & saving requests
1:39:47 Retrieve One
1:48:10 Path order Matters
1:52:46 Changing response Status Codes
2:01:49 Deleting
2:10:31 Updating
2:18:02 Automatic Documentation
2:21:34 Python packages
2:24:11 Database Intro
2:28:54 Postgres Windows Install
2:31:28 Postgres Mac Install
2:34:26 Database Schema & Tables
2:44:35 Managing Postgres with PgAdmin GUI
3:12:10 Your first SQL Query
3:19:43 Filter results with "where"
3:22:55 SQL Operators
3:26:38 IN
3:28:07 Pattern matching with LIKE
3:31:59 Ordering Results
3:36:27 LIMIT & OFFSET
3:39:21 Modifying Data
3:53:48 Setup App Database
3:58:21 Connecting to database w/ Python
4:08:00 Database CRUD
4:31:18 ORM intro
4:35:33 SQLALCHEMY setup
4:55:25 Adding CreatedAt Column
5:00:59 Get All
5:07:55 Create
5:15:50 Get by ID
5:19:50 Delete
5:22:31 Update
5:28:21 Pydantic vs ORM Models
5:32:21 Pydantic Models Deep Dive
5:38:57 Response Model
5:50:08 Creating Users Table
5:54:50 User Registration Path Operation
6:03:27 Hashing Passwords
6:08:49 Refractor Hashing Logic
6:10:32 Get User by ID
6:17:13 FastAPI Routers
6:27:34 Router Prefix
6:30:31 Router Tags
6:32:49 JWT Token Basics
6:47:03 Login Process
7:00:44 Creating Token
7:09:58 OAuth2 PasswordRequestForm
7:13:23 Verify user is Logged In
7:25:21 Fixing Bugs
7:27:59 Protecting Routes
7:36:17 Test Expired Token
7:38:13 Fetching User in Protected Routes
7:42:44 Postman advanced Features
7:50:33 SQL Relationship Basics
7:54:59 Postgres Foreign Keys
8:07:20 SQLAlchemy Foreign Keys
8:13:40 Update Schema to include User
8:17:59 Assigning Owner id when creating new
8:21:01 Delete and Update only your own
8:27:48 Only Retrieving Logged in User's
8:33:37 Sqlalchemy Relationships
8:38:32 Query Parameters
8:50:46 Cleanup our main.py file
8:53:53 Env Variables
9:21:20 Vote/Like Theory
9:26:36 Votes Table
9:31:33 Votes Sqlalchemy
9:34:11 Votes Route
9:52:31 SQL Joins
10:15:26 Joins in SqlAlchemy
10:28:21 Get One with Joins
10:30:18 What is a database migration tool
10:33:45 Alembic Setup
11:13:50 Disable SqlAlchemy create Engine
11:14:28 What is CORS?
11:23:38 Git PreReqs
11:27:40 Git Install
11:29:23 Github
11:34:39 Heroku intro
11:35:40 Create Heroku App
11:40:21 Heroku procfile
11:44:59 Adding a Postgres database
11:48:42 Env Variables in Heroku
11:58:59 Alembic migrations on Heroku Postgres instance
12:02:52 Pushing changed to production
12:05:04 Create an Ubuntu VM
12:08:04 Update packages
12:10:47 Install Python
12:12:21 Install Postgres & setup password
12:17:28 Postgres Config
12:24:50 Create new user and setup python evironment
12:34:06 Env Variables
12:42:24 Alembic migrations on production database
12:45:57 Gunicorn
12:54:12 Creating a Systemd service
13:04:45 NGINX
13:10:45 Setting up Domain name
13:15:19 SSL/HTTPS
13:19:31 NGINX enable
13:20:06 Firewall
13:23:47 Pushing code changes to Production
13:26:09 Dockerfile
13:38:39 Docker Compose
13:48:34 Postgres Container
13:56:22 Bind Mounts
14:03:39 Dockerhub
14:08:08 Production vs Development
14:14:51 Testing Intro
14:17:19 Writing your first test
14:30:22 The -s & -v flags
14:31:44 Testing more functions
14:35:29 Parametrize
14:40:21 Testing Classes
14:48:37 Fixtures
14:55:40 Combining Fixtures + Parametrize
14:59:13 Testing Exceptions
15:06:07 FastAPI TestClient
15:14:26 Pytest flags
15:17:31 Test create user
15:25:23 Setup testing database
15:36:47 Create & destroy database after each test
15:44:18 More Fixtures to handle database interaction
15:50:35 Trailing slashes in path
15:53:12 Fixture scope
16:07:50 Test user fixture
16:14:40 Test/validate token
16:18:59 Conftest.py
16:22:09 Testing
17:34:15 CI/CD intro
17:43:29 Github Actions
17:49:32 Creating Jobs
17:57:38 setup python/dependencies/pytest
18:06:14 Env variables
18:11:19 Github Secrets
18:18:14 Testing database
18:23:42 Building Docker images
18:34:33 Deploy to heroku
18:49:10 Failing tests in pipeline
18:52:18 Deploy to Ubuntu

The Ultimate Python Programming Roadmap (Before you Start)🐍 121gamers 0 Ansichten • 7 Monate vor

Download Notes: https://www.codewithharry.com/notes/
Roadmap PDF Download: https://cwh-full-next-space.fr....a1.cdn.digitaloceans
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: https://www.instagram.com/codewithharry

Some of you asked me about Python courses for further learning. I strongly recommend you not to buy any overpriced course. One of the most underrated resources in the journey of programmers is Udemy (This post is not sponsored). The affordable courses Udemy provides with doubt support are way way better than most of the paid courses I see online these days. Here are some of my top picks with discount applied for you:

1. Best Flask Course: https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.3919713514274698140898689&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fweb-developer-bootcamp-flask-python%2F

2. Complete Machine Learning & Data Science Bootcamp - https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.391979305384473167358737&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fcomplete-machine-learning-and-data-science-zero-to-mastery%2F

3. Machine Learning, Data Science and Generative AI with Python - https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.391975237665026923795682&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdata-science-and-machine-learning-with-python-hands-on%2F

4. ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More - https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.3919717761746744912954216&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fcomplete-ai-guide%2F

5. Complete Python Django Course: https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.391976560632587861865327&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fpython-django-the-practical-guide%2F

6. 100 Days of Code Python (English): https://click.linksynergy.com/link?id=vzG/OMx7ecI&offerid=1388962.3919715219197173821843440&type=2&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2F100-days-of-code%2F

Follow Me On Social Media
►Website (created using Django Rest & Angular): https://www.codewithharry.com
►Facebook: https://www.facebook.com/CodeWithHarry
►Instagram: https://www.instagram.com/codewithharry/
Twitter: https://twitter.com/CodeWithHarry
Comment "#HarryBhai" if you read this 😉😉

The ultimate introduction to modern GUIs in Python [ with tkinter ] 121gamers 0 Ansichten • 7 Monate vor

This tutorial covers everything you need to know about user interfaces in Python. I will go over all of tkinter, Python's default GUI framework, cover all the basics and then create a BMI app, a calculator and a photoshop style image editor.

If you enjoy this course, consider buying the tutorial that covers 7 additional apps: A responsive weather app, the ios stopwatch, a stock market tracker, a map viewer, a paint app, a snake game and qr code generator.

Link to the paid course:
https://www.udemy.com/course/l....earn-python-by-creat

Other social stuff
Patreon - https://www.patreon.com/clearcode
Twitter - https://twitter.com/clear_coder
Discord - https://discord.com/invite/a5C6pYw2w5

Code:
https://github.com/clear-code-....projects/tkinter-com

Timestamps:
00:00:00 - Intro
00:01:05 - Overview of tkinter + demo app

00:21:27 - Basic widgets
00:40:36 - Gettings and setting widget data
00:54:19 - Tkinter variables
01:06:06 - Buttons
01:32:34 - Buttons with arguments
01:40:37 - Events
01:53:40 - Combobox & Spinbox
02:10:08 - Canvas
02:34:41 - Treeview (Tables)
02:49:24 - sliders
03:08:49 - Frames & parenting
03:20:30 - Tabs
03:27:52 - Menus
03:46:51 - Customizing the window

04:04:28 - Layout intro
04:22:29 - Pack
04:46:18 - Pack + Parenting
05:01:46 - Grid
05:24:30 - Place
05:45:20 - Understanding widget sizes
05:51:34 - Stacking widgets
06:01:07 - Toggling widgets
06:17:28 - Combining layout methods
06:36:59 - Using classes
07:05:21 - Creating widgets in classes
07:25:56 - Responsive layouts
07:56:51 - Understanding scrolling
08:17:47 - Creating a scrollable frame
08:49:39 - Multiple windows

09:03:04 - Styling
09:17:50 - Using themes
09:25:49 - Colors
09:34:28 - Customtkinter
09:54:17 - Creating a ctk app
10:00:42 - ttkbootstrap
10:13:42 - ttkbootstrap editor
10:16:55 - ttkbootstrap extra widgets
10:40:11 - Animating widgets
11:11:03 - Using images
11:42:59 - Image animations
12:15:34 - Changing the title bar color

12:27:12 - BMI setup
12:36:54 - BMI widgets
13:01:04 - BMI functionality
13:16:01 - Metric units
13:24:57 - Imperial units

13:43:09 - Calculator setup
13:57:58 - Output labels
14:10:31 - Button setup
14:25:16 - Image buttons
14:34:58 - Number buttons
14:47:38 - Math buttons
15:00:32 - Calculator logic
15:21:45 - Extra operations

15:33:02 - Editor setup
15:46:19 - image import
15:57:28 - Scaling the image
16:10:39 - Closing the image
16:16:45 - Creating the menu
16:34:26 - Manipulating the image
16:56:17 - Managing the menu data
17:23:39 - Applying the effects
17:42:28 - Reverting the effects
17:53:44 - Creating the export panels
18:14:43 - Exporting the image

Python Web Development | Web Development Using Django | Python Django Tutorial | Edureka 121gamers 0 Ansichten • 7 Monate vor

🔥 Edureka Python Master Program (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters....-program/python-deve
This Edureka video on 'Python Web Development' will help you understand how to create websites from scratch using django. Below are the topics covered in this video:

1.09 Introduction
1.50 Why use python for web development
2.17 Python web development libraries
2.35 Python and django
3.12 Django installation
6.30 Sample web application demo

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

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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 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:

· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
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HOW I Learned Python in 30 Days? BEST Python Course 121gamers 0 Ansichten • 7 Monate vor

HOW I Learned Python in 30 Days? BEST Python Course
A couple years ago, I picked up Python as my first programming language. I learned python using a udemy course by instructor Jose Portilla. In this video, I'm reviewing the course and talk about how I completed the course and learned python in 30 days.
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Timestamps
0:00 Learning Python
1:00 BEST Python Course?
2:30 Data Structures in Python
3:10 Conditionals and Loops in Python
3:40 Defining Functions in Python
4:30 Sponsored by Coding Ninjas
5:22 Object Oriented Programming in Python
6:20 Error Handling in Python
6:57 Python Modules
7:30 Web Scraping with Python
8:00 PIL Module
8:30 Building Python Projects
11:00 FREE Python Resources
11:40 Machine Learning/Data Science in Python
12:15 Comment "I watched till the end!"

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