Explore tweets tagged as #jupyter_notebook_pandas
Jupyter NotebookやJupyter Labといった、Notebookでデータ分析業務をする人が、ここ数年で増えてきました。 よくあるのが、Pandasを利用し取得したデータセットをデータフレームに格納するケースです。 データ規模が大きいほど、ある問題が起こります。 例えば、メモリの消費の問題です。
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BigQueryのコンソール体験は多分大きく変わる事になる。 自分で長大なSQLを書かなくてもDuet AIが自然文からコードを出力してくれる。標準SQLで難しいことしなくてもBigQuery Dataframeが提供するbigframe.pandasを使ってPythonで書ける。実行はBigQuery StudioのJupyter notebook。
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東大が無料公開しているPython解説サイト。 全くの初心者向けに丁寧に解説されている。 ・Google Colab, Jupyter Notebookの使い方 ・Pythonの基本的な文法とデータ構造 ・numpy, pandas, matplotlib, scikit-learnの使い方入門 Google Colab版 https://t.co/WqvsLE93jT HTML版
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#LSPPDay18 Today I learned about Basics of Pandas: A Data analysis toolkit and library. I installed Anaconda and created a jupyter notebook and did some basic pandas operations like head(). #60DaysOfLearning2024 #LearningWithLeapfrog #connect #python
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Found a powerful Jupyter Notebook alternative (open-source)!! marimo combines the power of Jupyter, Streamlit, ipywidgets (and more) in a reactive interface. It also displays interactive Pandas DFs and you can query them with SQL.
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این ریپو یک ابزاری هست به اسم PyGWalker که کار تحلیل داده و visualization در Jupyter Notebook را با استفاده از تبدیل داده های pandas به یک رابط کاربری تعاملی برای کاوش بصری (visual exploration) بسیار ساده میکنه. https://t.co/gtsO6NaY0Z
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PyGWalker Turn your pandas DataFrame into a Tableau dashboard. • Launch from Jupyter Notebook • Tableau-like visualizations • Run in Kaggle and Colab Tableau is $800 per year. PyGWalker is $0. Get the code on GitHub:
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Found a powerful Jupyter Notebook alternative (open-source)!! marimo combines the power of Jupyter, Streamlit, ipywidgets (and more) in a reactive interface. It displays interactive Pandas DFs and you can query them with SQL. The notebook can also be deployed as a script or
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🌟 Excited to Share My Latest Project! I'm thrilled to present my latest project: Video game sales data analysis report . This journey has been an incredible learning experience Tools Used: 1.Jupyter Notebook 2.Numpy 3.Pandas 4.Matplotlib
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Tableau is $800 per year. PyGWalker is $0. It turns your pandas DataFrame into a Tableau dashboard. • Launch from Jupyter Notebook • Tableau-like visualizations • Run in Kaggle and Colab Get the code on GitHub:
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Been learning pandas / numpy and jupyter notebook today - pretty cool so far. Doing some simple analysis on image scalers at different resolutions, and quality levels and image layouts
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every single day I can't help but to wonder how did I finesse this firm to trust me to write code. turns out you can do useful things by just being mid at pandas & numpy. don't let the jupyter notebook haters intimidate you. we the jupyter notebookers are THRIVING #silentmajority
not many people know this but you can go pretty far if you’re kinda mid at both excel & python
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コンピュータシステムの概要学ぶの、これ良さげじゃん 東大が無料で公開してるやつ。 ・git, python, jupyter-notebook ・numpy, pandas ・SSH, Linux ・ログ管理 ・データベース ・SSL, TLS ・Flask ちょっとCSの基礎がなってないからやってみよ https://t.co/iN1LDFQmTM
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A quick one with @OdiraEgbue on Google meets, walking me through the plots he created on jupyter notebook with data analyzed using Pandas library. I gained significant insights from the bar chart 📊 . Thank you my bro 🙏. Let's do more Sir.
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👀 RAPIDS cuDF accelerates #pandas up to 150x with zero code changes. Now you can continue using pandas as your dataset size grows into gigabytes. ⚡ ➡️ Jupyter Notebook to try the demo: https://t.co/VHoKqMuZCy ➡️ Learn more: https://t.co/XQT3lml0Du
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Data Cleaning using Python Pandas in Jupyter Notebook #python #pandas #datascience
https://t.co/PlUmJPYP4T
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Hey 👋 #datafam
@hnginternship Stage 1 task done completed🎉 Tool used: Python (Pandas/Seaborn); Jupyter Notebook Cleaned data ✅ Check for missing data✅ 7 Feature Engineering ✅ 6 meaningful insights ✅ *Video presentation in thread*
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I've just discovered that you can set a global display precision in Jupyter Notebook using magic command: `%precision <NR>` I knew about the Pandas command before (below) but this is news to me. `pd.set_option("display.precision", <NR>)`
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Population Growth Rate in Africa 2020-2023 Source: Our World In Data Tools: Python -> Jupyter Notebook -> pandas + geopandas + matplotlib. The polishing in Affinity Designer 2 #dataviz #Datavisualization #DataScience #python #pandas #geopandas #affinitydesigner
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Day 004 of #100daysofcodechallenge worked with google API. Got and unofficial introduction to Jupyter and Pandas. Stopped for a while and performed simpler task using Jupyter notebook and Pandas for easy and better understanding. #100DaysOfCode #pandas #Python #pythonprogramming
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