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Fundamentals of Python Programming for Beginners

Analytics Vidhya

Until the release of NumPy in 2005, Python was considered slow for numeric analysis. Pandas, in 2008, made Python the best language […] The post Fundamentals of Python Programming for Beginners appeared first on Analytics Vidhya. But Numpy changed that.

Python 283
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Pandas 2.0

Analytics Vidhya

Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. appeared first on Analytics Vidhya.

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Simple Streamlit Sliders: Intaractive Map Visuals with GPT-4 Prompting

Towards AI

Prompt engineering for interactive Python Streamlit mapsDall-E image: A choropleth map on a screen with a pleasing view in the background Interactive choropleth maps are powerful tools for visualizing and understanding complex datasets related to geographical areas. Author(s): John Loewen, PhD Originally published on Towards AI.

Python 105
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Netflix Data Analysis using Python

Mlearning.ai

In today’s blog, we will explore the Netflix dataset using Python and uncover some interesting insights. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. From the second plot, we can see the top 20 genres that have been added by Netflix from 2008 to 2021.

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[Updated] 100+ Best Python Interview Questions

Mlearning.ai

Hey guys in this video we will see the best Python Interview Questions. Python has become one of the most popular programming languages in the world, thanks to its simplicity, versatility, and vast array of applications. As a result, Python proficiency has become a valuable skill sought after by employers across various industries.

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Getting Started with AI

Towards AI

Mirjalili, Python Machine Learning, 2nd ed. McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit. Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit.

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My C++ Now 2023 talk is online: “A TypeScript for C++”

Hacker News

8:00 – summary slide of features demonstrated at CppCon 2022 – safety for C++; goal of 50x fewer CVEs due to type/bounds/lifetime/init safety – simplicity for C++; goal of 10x less to know 10:00 – 2.

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