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Ever got confused on what Graph to use for Uni, Bi or Multi-variate analysis? Take a look A Thread 🧵👇 #codanics #campusx #python #datascience #pythonchilla #pythonprogramming #DataAnalytics #DataVisualization #pakdatasci #pythonkachilla2 #MachineLearning #visualization
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Are you aware of "Walrus Operator"? It's represented by ":=" a colon followed by the equal sign. It assigns and returns value at the same time. NOTE: It was introduced in Python 3.8 #python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
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To improve your data analysis skills, I would suggest you choose a course from Coursera known as Google Data Analytics. #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #Google @aammar_tufail #Codanics shorturl.at/aHQU2

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Did you know you can get a prediction of your next code while you are writing it with AI? GitHub's copilot #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #github @aammar_tufail #Codanics github.com/features/copilot

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Let’s Understand All About Data Wrangling! A thread 🧵. #python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
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The Zen of Python (PEP 20) is a set of nineteen aphorisms by Tim Peters that serve as guiding principles for Python’s design. A Thread 🧵👇 #python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2 #zenofpython #pep20
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Did you know Giants like Google, Meta, Netflix etc. uses EDA to clean their data #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning @aammar_tufail #codanics
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Today, let's discuss a machine learning algorithm; "SUPERVISED ALGORITHM" In the 🧵👇, we'll examine its mathematical representation, example, and additional classification. #python #datascience #pythonchilla #DataAnalytics #pakdatasci #MachineLearning #codanics #EACADEMY
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Did you know you can work on SQL with VS Code IDE, By just downloading MySQL extension into it? You are good to go #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning @aammar_tufail #codanics marketplace.visualstudio.com…

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Useful Python Tricks: Part 2 🧵👇 1- Unpacking 2- *Args (Arguments) 3- **Kwargs (Keyword Arguments) 4- *Args and **Kwargs 5- Lambda 6- Map 7- Filter 8- Reduce #python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
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Did you know you can make a research paper ready to publish graphs from excel? if not so check this out: #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning @aammar_tufail #codanics youtube.com/watch?v=nZCxRiSV…

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Useful Python Tricks 🧵👇 1- Ternary Operators 2- List Comprehension 3- Enumerate Function 4- Zip Function 5- Default Dictionary 6- Merge Dictionaries 7- Match #python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
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To get your Data Science project 💻off to the perfect start, let's quickly review the basic categories of machine learning algorithms. #python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #visualization #codanics #EACADEMY
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Ever got confused on what Graph/Chart to use on what occasion? Don't worry I've got you covered. A Thread 🧵👇 #codanics #python #datascience #pythonchilla #pythonprogramming #DataAnalytics #DataVisualization #pakdatasci #pythonkachilla2 #MachineLearning #visualization
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Optimal pythonic method for finding the minimum value. Code now works for numbers, strings (alphabetical), tuples, lists, sets and dictionaries (values). Thanks to Mr. Henk for improving it. linkedin.com/in/henkvanderla… #python #pythonprogramming #pythonic #codanics #pythonchilla
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We've all heard how Python makes coding easier. Here's one example of how you can turn a Minimum number finding function into an ~almost one-liner function. We call it the "Pythonic Method". #python #pythonprogramming #pythonic #codanics #pythonchilla #pakdatasci #datascience
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