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#features #mustknow ⚙Functions. Understanding *args and **kwargs. Sometimes, when you look at a function definition in Python, you might see that it takes two strange arguments: *args and **kwargs. If you’ve ever wondered what these peculiar variables are, or why your IDE defines them in main(), then this article is for you. You’ll learn how to use args and kwargs in Python to add more flexibility to your functions. https://realpython.com/python-kwargs-and-args

Are you lost seeking what to do after learning the basics of Python? Practice, my friends, is a way to go. Here are some resources that you can hone your skills with: 1. Impractical Python Projects 2. Creating Tic Tac Toe game 3. Parkinson's Disease detection project 4. Building a Mad Lips Game 5. Typing speed test GUI with Python Stay tuned, here is going to be way more posts like this.

Top. USE OF PYTHON IN FINANCE 🐍💸 How Python Became Number 1 Language in Finance. BANKING SOFTWARE 💳 Python syntax works really well with mathematical calculations and algorithm. Banking companies will obtain the same results with fewer programmers if they choose Python. Additionally, they can minimize adapting different programming languages, because Python is able to achieve things not possible with other programming languages CRYPTOCURRENCY 💰 Python is a perfect language for cryptocurrency markets analysis because it has data science ecosystem called Anaconda. With the help of this tool, you can obtain cryptocurrency pricing, analyze it and visualize it into charts. Consequently, many web applications created for analyzing cryptocurrency were developed on top of Python language. RISK MANAGEMENT📋 Python is one of the most suited language for this application Python opens the door to implement machine learning and deep learning for credit risk challenges. Python supports simple algorithms such as logistic regression, decision trees, random forest, support vector machines, and more advanced algorithms such as clustering and neural networks. AUTOMATED TRADING📈 Python has come out as the most desired language for automated trading. The powerful and wide variety of Python librarles enable you to perform data analysis (pandas), predict stоck market by using machine learning technique (sci-kit-learn) and integrate Google's deep leaming technology (tensorflow).

Top. Python bot for Instagram Content: 1. The basics of InstaPy 2. Likes 3. Subscribe 4. Subscribing to someone else’s followers 5. Unsubscribe 6. Important features of the InstaPy library 7. Conclusion Read the article

Python from the beginner to advanced developer. Beginner path: 1. Python Crash Course by Eric Matthes. 2. Python course from freeCodeCamp 3. OOP by Irv Kalb 4. 1 hour video course about OOP for beginners. Intermediate path: 1. Python One-liners by Christian Mayer. 2. Intermediate Python course from freeCodeCamp. 3. 5 intermediate Python projects. 4. Web-development course in Python from freeCodrCamp. Advanced path: 1. Automate the boring stuff with Python by Al Sweigart. 2. Consider watching this playlist though it's written Intermediate there. 3. Impractical Python Projects by Lee Vaughan. 4. Recursion in Python. 5. 8-hour course on YouTube, advanced python. 6. Algorithms and Data Structures, explained using Python.

Top. Discord bot in Python Content: 1. Brief information about Discord for those who don’t know about it yet 2. What are bots? 3. Why chatbots are needed 4. Writing code for a chatbot 5. Possible problems when creating a bot 6. Conclusion Read the article

OOP. Introduction to Object Oriented Programming (OOP) Content: 1. Class variables in Python 2. Class instance variables in Python 3. Working with class and instance variables simultaneously 4. Conclusion Read the article

OOP. Destructor in Python: destroying objects Content: 1. What is a destructor in Python? 2. Creating a destructor with the del() method 3. Important things to keep in mind about the destructor 4. Cases where the destructor does not work correctly Read the article

Tips & Tricks. Techniques for speeding up Python code Content: 1. Use the right data structures 2. Avoid for loops 3. Use list comprehension 4. Do not neglect multiple assignments 5. Don’t create global variables 6. .... Read the article

OOP. Introduction to Object Oriented Programming (OOP) Welcome to the series of articles about object-oriented programming (OOP). In this article we will introduce the concept of OOP, which will be present in one way or another in all the articles in this series. You will see many of the benefits of OOP almost immediately, but there will also be pleasant surprises later on. Read the article

Top. Fundamentals of Python – Learning the Basic Concepts of the Language Content: 1. Variables 2. Data types 3. Strings 4. Lists 4. Tuples 5. Sets 6. Dictionaries Read the article

Top. Voice Assistant in Python Content: 1. Setting up the environment 2. Defining the speech playback function 3. Creating the speak() function 4. Task 1: Search Wikipedia 4. Task 2: Open YouTube in a browser 5. Open a Google search in the browser 6. Play music Read the article

Top. Python sets – explanation with examples Content: 1. What are sets in Python? 2. How to create a set 3. How to add or remove an item from a set 4. Set operations in Python 5. Frozenset or immutable sets in Python 6. Conclusion Read the article

Top. Python-based Telegram bot for a declaration of love Content: 1. Getting the API key for the Telegram bot from BotFather 2. Integrating Python with Telegram 3. Programming the yes/no button 4. Conclusion Read the article

Top. Telegram bot for Google Calendar Content: 1. Creating a link with Google calendar 2. Python code examples Read the article

Top. Downloading and installing Python Content: 1. Downloading Python 2. Installing Python 3. Checking installation Read the article

Top. How to read excel files (xlsx) with Python? Content: 1. How to read Excel files with xlrd 2. How to read Excel files with openpyxl 3. Reading an Excel file with pandas 4. Conclusion Read the article