Tutorial Libraries

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Tutorial Libraries

📊📉 Embed Plotly Dash into your Flask applications.

Make Plotly Dash part of your Flask Application by following this example. Get set up locally in two steps:

:blue_book: :package: Structure your Flask apps in a scalable and intelligent way using Blueprints.

Structure your Flask apps in a scalable and intelligent way using Blueprints. Get set up locally in two steps:

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

The Zipru scraper developed in the Advanced Web Scraping Tutorial.

The scraper is not actually functional because Zipru is not a real site. The code, however, is otherwise complete and can easily be adapted to work on other sites.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Data Science Hacks is created and maintained by Analytics Vidhya for the data science community. It includes a variety of tips, tricks and hacks related to data science, machine learning These Hacks …

Source code for Django for APIs

:snake: :information_source: Create and manage data in your Flask app via a SQL database.

Connect your Flask app to a database using Flask-SQLAlchemy. Get set up locally in two steps:

Open Source Indonesian Python Programming Tutorial Site

Belajarpython adalah situs kolaboratif tutorial pemrograman Python bahasa Indonesia

Try Django 2.2 is step-by-step to build a modern, fully open-source, Blog web application using Python, Django, Bootstrap, Javascript, and more.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

We provide here a suite of Python examples that walk you through concepts in: Classical & Deep Reinforcement Learning Basic & Advanced Machine Learning Anson Wong

Complete path for a beginner to become a Machine Learning Scientist!

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

The algorithm transfers style from one input image (the style image) onto another input image (the content image) using CNN nets (usually VGG-16/19) and gives a composite, stylized image out which ke…

MachineLearning-DeepLearning-Code-for-my-YouTube-Channel

The full collection of all codes for my Youtube Channel segregated as per topic.

"Python in Persian" is an open-source online book that offers a comprehensive tutorial on the Python programming language in Persian.

This book is designed for Persian-speaking learners without prior experience with programming languages. The book covers all the essential topics, from basic to intermediate programming, and each cha…

Course demos and handout material for Talk Python's MongoDB Quickstart course

Learn the most popular NoSQL / document database: MongoDB. In just 2 hours, you'll be up and running with MongoDB and Python. Are you ready to take the course? Visit the course website to get started…

Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Hi, I’m Juan Diego Toscano. Thanks for stopping by. This repository will help you to get involved in the physics-informed machine learning world. In particular, it includes several step-by-step guide…

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

This repository aims to provide tutorials for implementing various visualisations using Seaborn, Plotly, Bokeh, Networkx and even a sample report built using Tableau. -- Since some plots are interact…

FastAPI Tutorials & Deployment Methods to Cloud and on-prem infrastructures

Tutorial: Web scraping in Python with Beautiful Soup

Just want to see the code? Here it is:

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

It is an extension module of Python which is mostly written in "C". It provides various functions which are capable of performing the numeric computations with a high speed. NumPy provides various po…

:books: List of resources for Algorithms and Data Structures in Python & other CS topics @2017

Think Like a Programmer: An Introduction to Creative Problem Solving The Linux Command Line: A Complete Introduction Python for Beginners by Alex Bowers The Compelete Web Developer Course- Buil…

This is a fun application of image processing which enables you to experience the magic of an invisibility cloak. Let's make our childhood fantasy of using an invisibility cloak come true.

All the code examples I use in my videos

This repository contains all the code examples that I use in my YouTube videos. You'll find the link to the code in the description of each of the videos on YouTube. If you're a regular watcher, you …

Machine Learning Tutorials in Python

Machine Learning tutorials in Python

A couple of python scripts to interpret geological structures from geophysical images using deep learning

If you use this project in your research or wish to refer to the results of the tutorials, please use the following BibTeX entry.

This is a basic guide on how to build a REST API with Django & Python. For much deeper depth, check out our new course on REST API: (https://kirr.co/90kxtx)

Learn everything web scraping with David Teather Codes on YouTube

If you don't want to deal with installing and configuring software, I've set up this repository so that a GitHub Codespace can do all of that for you. Select Code -> Codespaces Tab -> The + Ico…

Beginner Python Course with JuPyter Notebooks. Includes 17 video tutorials, 17 lessons, 17 projects, with 17 solutions.

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab