Python Universe

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Python Pandas For Your Grandpa 👨‍🦳 Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Start your pandas journey with "Python Pandas For Your Grandpa" series – so easy, your grandpa could learn it! 1. Promo [YouTube] 2. Introduction [YouTube] 3. Series Creation [YouTube] ... 44. Challenge: Concerts [YouTube] 🔗YouTube Playlist #materials #pandas #datascience

Python → .exe ⚙️ Your Python code would be more useful if it was available to a wide range of people – this would include non-technical users who have never used a command prompt or terminal. With PyInstaller you can easily convert a Python file (.py) to an executable standalone application (.exe). ⚙️Installation pip install pyinstaller PyInstaller is designed to worked in a command prompt or terminal environment. You would simply compile your Python code by typing the code below in your terminal: pyinstaller your_python_code.py You can also slightly modify it by adding the onefile option. This creates one giant executable file instead of creating a lot of files which are mixed with your compiled executable: pyinstaller your_python_code.py --onefile 🔗Homepage 🔗PyInstaller Manual #pyinstaller

Practice your Python skills directly in Chrome Browser 🌐 PyQuickie is a chrome extension where you can practice your python coding skills easily and hassle free. No login required and with just one click you can improve your coding and problem solving skills while still being able to enjoy browsing through facebook and other web activities. 🚀Features ▪️Importing Python builtin Modules Work. ▪️Working python IDLE. ▪️Python keywords highlighting. ▪️Python Tabbing Feature in textarea. ▪️Questions are ranked by level of difficulty: easy, medium, and hard. 🔗Chrome Extension #materials #tools

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10 Free Udemy Python Courses 📚 Here's 10 great Udemy courses with 100% off coupon related to Python learning. 1. Learn to Code in Python 3: Programming beginner to advanced 2. Learn to code with Python from scratch 3. Bootcamp of Data Science with Python [+250 exercises][A-Z] 4. Machine Learning Bootcamp: SVM,Kmeans,KNN,LinReg,PCA,DBS 5. SQL with PostgreSQL for Beginners: Analyze | Manipulate Data 6. Time Series Analysis Real-World Projects in Python 7. Exploratory Data Analysis (EDA) for Machine Learning 8. Mastering Time Series Forecasting with Python 9. SQLite Databases | Python Programming: (Build App and API) 10. Python and JavaScript for beginners: Build 10 Projects ❗️ATTENTION: Limited Time #materials

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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

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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

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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

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

"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

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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

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

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Join this amazing private channel learn Python, Data science,Machine Learning, Hacking and many more absolutely free [Only allowing 300 more subscribers for now] 👇👇 https://t.me/joinchat/ZYXe60w7YisyNWEx Get Paid certified Python and Hacking courses absolutely Free

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

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PyQt5 GUI Thursdays 📺 PyQt is a Python interface for Qt, one of the most powerful, and popular cross-platform GUI library. PyQt is a blend of Python programming language and the Qt library. In this video series you will learn how to create basic graphical applications with the help of PyQt. 1. How To Install PyQt5 And Build Simple GUI App [YouTube] 2. How To Create Combo Boxes [YouTube] 3. How To Create Spin Boxes [YouTube] ... 20. CheckBoxes [YouTube] 🔗Full Playlist #materials

Video editing with Python 🎞 🔸MoviePy is a Python module for video editing, which can be used for basic operations (like cuts, concatenations, title insertions), video processing, or to create advanced effects. It can read and write the most common video formats, including GIF. ⚙️Installation pip install moviepy The key objects in MoviePy are VideoClips, which contains video and sound. In a typical MoviePy script, you load video or audio files, modify them, put them together, and write the final result to a new video file. 🔗Docs 🔗GitHub 🔗Editing Video with Python + MoviePy Tutorial #moviepy #graphics

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​​Python Learning Courses provided by Microsoft 📚 Recently, I found out that Microsoft provides quality online courses related to Python on Microsoft Learn. Microsoft Learn is a free online platform that provides access to a set of training courses for the acquisition and improvement of digital skills. Each course is designed as a module, each module contains different lessons and exercises. Below are the modules related to Python learning. 🟢Beginner 1. What is Python? 2. Introduction to Python 3. Take your first steps with Python 4. Set up your Python beginner development environment with Visual Studio Code 5. Branch code execution with the if...elif...else statement in Python 6. Manipulate and format string data for display in Python 7. Perform mathematical operations on numeric data in Python 8. Iterate through code blocks by using the while statement 9. Import standard library modules to add features to Python programs 10. Create reusable functionality with functions in Python 11. Manage a sequence of data by using Python lists 12. Write basic Python in Notebooks 13. Count the number of Moon rocks by type using Python 14. Code control statements in Python 15. Introduction to Python for space exploration 16. Install coding tools for Python development 17. Discover the role of Python in space exploration 18. Crack the code and reveal a secret with Python and Visual Studio Code 19. Introduction to object-oriented programming with Python 20. Use Python basics to solve mysteries and find answers 21. Predict meteor showers by using Python and Visual Studio Code 22. Plan a Moon mission by using Python pandas 🟠Intermediate 1. Create machine learning models 2. Explore and analyze data with Python 3. Build an AI web app by using Python and Flask 4. Get started with Django 5. Architect full-stack applications and automate deployments with GitHub #materials

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