Pandas
Visual Studio Code
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Pandas | Visual Studio Code | |
---|---|---|
393 | 2,838 | |
41,923 | 158,095 | |
1.4% | 1.0% | |
10.0 | 10.0 | |
1 day ago | about 22 hours ago | |
Python | TypeScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
Visual Studio Code
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I can't stand using VSCode so I wrote my own (it wasn't easy)
I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643
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Employee Management System using Python.
When working in Visual Studio Code (VS Code), always create a new Python file for your project.
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A deep dive into progressive web apps (PWA)
Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.
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Build a Music Player with Python
When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.
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Why single vendor is the new proprietary
https://github.com/microsoft/vscode/forks
27,000 people seem to have done so.
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Scrape Redfin Property Data
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python.
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"Just Start!" - A double-edged sword.
I was doing it all wrong, designing and developing on the fly, using the same tool - VScode; Making one step forward and ten back when I mess up with good code while trying to get rid of the bad. I had gotten away with it for three pages, but it had finally caught up with me.
- Zed Multibuffers not planned for VSCode
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TypeScript Development Set Up for VSCode
VSCode
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GETTING STARTED WITH FLUTTER
IDE: Many IDES can be used with Flutter but the two most common ones are; Android Studio and Visual Studio Code (VS code). We will work through the setup of VS Code in this article. To download VS Code, just click on Visual Studio Code if you are on Windows or Visual Studio Code for iOS
What are some alternatives?
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
thonny - Python IDE for beginners
tensorflow - An Open Source Machine Learning Framework for Everyone
reactide - Reactide is the first dedicated IDE for React web application development.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Spyder - Official repository for Spyder - The Scientific Python Development Environment
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
Keras - Deep Learning for humans
KDevelop - Cross-platform IDE for C, C++, Python, QML/JavaScript and PHP
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
vscodium - binary releases of VS Code without MS branding/telemetry/licensing