#python numpy

[a-fox-studies]

Day 1 - 13th April, 2023

A wise someone (@compooter-blob) told me that NumPy, Pandas and Matplotlib are the butter, bread and milk of python development.

I started learning a bit of NumPy today, and I only have one word to describe it - cute.

[mutter-official]

python baby PLEEEEAAAAASEEEEE add generics. it would make my typehinting life SOOOOOO much easier

[humormehorny]

Learning a new computer language is a fresh kind of hell. like what the hell do you mean I don't have the fucking package installed?

[all-hail-trash-prince]

Man why is working with web apps so obnoxious. "422 unprocessable entity teehee. Good luck figuring out which entity it is, much less why I refuse to process it"

[amarantine-amirite]

[fortunatelycoldengineer]

Pandas . . . . for more information and tutorial https://bit.ly/3jqTlRP check the above link

[pythonbaires]

Aprende a analizar datos con python!

En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn. Comienza ya mismo! Pasarás de comprender los conceptos básicos de Python a explorar muchos tipos diferentes de datos a través de clases, laboratorios…

[mabeloid]

can someone who's better at coding please tell me what this bug is

(chessgamesarr is a dtype=str numpy array)

why is it cutting the last two characters off why is it doing that i thought it might be a character limit thing but that only is 58->56 long that would be a weird number to cut off at

[incandescent-ruins]

making me code problems to do with matrices without numpy should be illegal im not kidding

[aesthetic-uni]

What if instead of coding I destroy my computer

[a-fox-studies]

Day 2 - 14th May, 2023

Today I learned about data types in NumPy, and also the different ways of type casting. It was a short study session, because I went out for lunch :P and also had a terrible flare afterwards.

The output of the code above is [ 1 2 3 ] as it converts the floating values into integer values.

🎧 321 blast off - PmBata

[datascienceschool]

Not all missing data is the same! 🧩 💡 MCAR: Missing Completely At Random (pure luck). 💡 MAR: Missing At Random (depends on observed data). 💡 MNAR: Missing Not At Random (hidden for a reason).

Understanding these types is the first step to tackling missing data like a pro! 🚀

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For more details contact Phone: 9948861888 Email: datascienceschool.in@gmail.com Website: datascienceschool.in

[cromacampusinstitute]

Pandas, NumPy, and Matplotlib are three powerful Python libraries essential for data analysis. Pandas provides high-performance data structures like DataFrames and Series for data manipulation and analysis. NumPy offers efficient numerical computations with multi-dimensional arrays, enabling mathematical operations on large datasets.

[tutorialwithexample]

Python NumPy Basics Made Easy: A Complete Tutorial for Beginners

If you're new to programming or data analysis, learning NumPy is an essential step in your journey. NumPy, short for Numerical Python, is a powerful Python library designed to work with numerical data efficiently. It’s widely used in data science, machine learning, and scientific computing.

What is NumPy?

NumPy is a library that provides support for handling large arrays and matrices of numerical data. It also includes a vast collection of mathematical functions to process and analyze this data easily.

Why Should Beginners Learn NumPy?

Speed and Efficiency: Operations on large datasets are faster and more efficient in NumPy compared to Python lists.

Simplified Operations: It simplifies complex tasks like matrix operations and statistical calculations.

Wide Applications: From finance to physics, it’s used across industries for data analysis and visualization.

How to Start with NumPy

To begin, familiarize yourself with basic concepts like arrays, shapes, and dimensions. Arrays are central to NumPy—they are like advanced lists that allow you to perform mathematical operations directly. Learn how to create and manipulate these arrays as a starting point.

NumPy opens the door to mastering Python-based data analysis and serves as a foundation for more advanced libraries like Pandas and TensorFlow.

For a deeper dive into NumPy concepts, visit Tutorial and Example’s NumPy Tutorial and enhance your learning with practical examples!

[s123elf]

Numpy- Scientific Calculation library #datacleaning#python #numpy #dataa...