Build Your Data Science Web App with Dash

🔸Dash is an open source library for building web analytic applications. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It's particularly suited for anyone who works with data in Python.

⚙️Installation
pip install dash
pip install dash-html-components
pip install dash-core-components
pip install dash-table

Dash apps are rendered in the web browser. You can deploy your apps to servers and then share them through URLs. Since Dash apps are viewed in the web browser, Dash is inherently cross-platform and mobile ready.

🔗Docs
🔗App Examples
🔗Detailed tutorial by RealPython

#dash #web #charting

What to do if your Python code isn't working?

🔗High-resolution version

#materials #cheatsheet

How to create an algorithmic trading bot with Python 💰

♦️In this series you will learn how to create your own trading bot with Python. This is a really cool project, but also definitely not for beginners. In order to complete this bot, you will need to create a complex application using the following Python modules:
▪️Pandas
▪️Flask
▪️Plotly

📚Contents
1. Overview
2. Design
3. Getting financial data into Python
4. Open a trade using the MT5 API with Python
5. Close a trade with MT5 using Python
6. Creating an algotrader/trading bot with Python – Part 1
7. Creating an algotrader/trading bot with Python – Part 2
8. Creating an algotrader/trading bot with Python – Part 3
9. Creating a strategy for your algorithmic trading bot – Part 1
10. Creating a strategy for your algorithmic trading bot – Part 2
11. Dynamically calculate lot size for your algorithmic trading bot
12. Send messages from Python to Slack
13. Send an email from Python
14. Trade management for the algorithmic trading bot

#materials #trading

Make Exceptions Great Again

🔸Pretty-errors is a Python module that basically the exception output to make it legible.

⚙️Installation
pip install pretty-errors

If you want pretty_errors to be used whenever you run a python script you must add it to your python startup procedure. You can do so easily by running:
python -m pretty_errors
Or you can just simply import it:
import pretty_errors

🔗GitHub

#prettyerrors

"Automate the Boring Stuff with Python Programming" FREE COURSE 📚

This course is one of the best udemy courses (89,262 ratings 938,806 students) related to Python learning, and its free for the next few days with the following coupon: JUL2021FREE.

The course is for beginners and assumes no previous programming experience, but the second half is useful for experienced programmers who want to learn about various third-party Python modules.

❓How to Enroll
1. Go to the link: https://www.udemy.com/course/automate/
2. Enter coupon: JUL2021FREE
3. Click "Apply"
4. Happy learning!

❗️ATTENTION: The coupon is valid until 4 July.

#materials

Language Detection

🔸Langdetect is a re-implementation of Google’s language-detection library from Java to Python, which allows you to determine the input language.

Simply pass your text to the detect() function and it will output the two-letter code of the language for which the model gave the highest confidence score. If you use detect_langs() instead, it will output a list of the top languages that the model has predicted, along with their probabilities.

⚙️Installation

pip install langdetect

🔗GitHub

#langdetect

Python Machine Learning Tutorials 📺

Learn machine learning with Python. This series starts out teaching basic machine learning concepts like linear regression and k-nearest neighbors and moves into more advanced topics like neural networks and convolution neural networks.

1. Introduction [YouTube]
2. Linear Regression p.1 [YouTube]
3. Linear Regression p.2 [YouTube]
...
12. Implementing K-Means Clustering [YouTube]

🔗Full Playlist

#materials #machinelearning

One line jokes for programmers 🤓

🔸Trying to make your project more interesting or funny? Now, you can add jokes to your project with pyjokes.

There's basically two functions:
▪️get_joke(language='en', category='neutral')
▪️get_jokes(language='en', category='neutral')
The first one returns a single joke (string), while the second one returns a list of random jokes from a certain category and in a particular language.

Supported languages: English (en), German (de), Spanish (es), Galician (gl), Basque (eu), Italian (it).
Categories: neutral, chuck (yes, Chuck Norris jokes), all, twister (only for German language).

⚙️Installation
pip install pyjokes

🔗GitHub
🔗[Tutorial] Python Script to create random jokes using pyjokes

#pyjokes #bullshit

Web Scraping in Python

🔸Scrapy is an open source and collaborative framework for extracting the data you need from websites.

It gives you all the tools you need to efficiently extract data from websites, process them as you want, and store them in your preferred structure and format. Unlike BeautifulSoup, which you may have heard of, Scrapy is a tool specifically created for downloading, cleaning and saving data from the web and will help you end-to-end; whereas BeautifulSoup is a smaller package which will only help you get information out of webpages.

⚙️Installation
pip install scrapy

🔗Homepage
🔗GitHub
🔗[Tutorial] Making Web Crawlers Using Scrapy for Python

#scrapy #web