filestack-python
Pandas
filestack-python | Pandas | |
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8 | 397 | |
48 | 42,039 | |
- | 0.7% | |
0.0 | 10.0 | |
12 months ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
filestack-python
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Enhancing Web Design: Seamless Integration of File Uploads for Interactive Websites
An important part of user experience in a website design is to allow users to upload photos, videos, and documents. This feature is usually called file uploading, and the process to integrate this feature is called “embed file upload in website.” Consequently, the file upload feature facilitates user interaction and engagement. File uploads are particularly important for various online services like cloud storage, online forms, and e-commerce sites.
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How do you deal with file upload?
Looking at some solution and only one I found is https://www.filestack.com?
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I'm building a file uploading and processing service with a simple configuration UI. I think I have something that looks like a beta. You are welcome to try it!
Great, https://www.filestack.com/ needs more competition!
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free-for.dev
filestack.com — File picker, transform and deliver, free for 250 files, 500 transformations and 3 GB bandwidth
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Free Comprehensive Webinar: Ways on How to Optimize JavaScript Apps
Maintaining applications can be exhausting enough. Enhancing their performance for the experience users will enjoy doesn’t have to be complicated. This webinar is brought to you by Filestack.
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How To Enhance JavaScript File Upload In Your Web App
With certain APIs, you can assign unique events to files at any stage, from in transit to their final destination.
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Future-Proofing Your React File Uploader
Web developers who want to build an application using the ReactJS or write codes for building a website must consider the react file upload to ensure that users can upload any file they need [1].
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How To Upload A CSV File In Python
Once filestack python SDK installation is complete, create your python script with the .py extension. For example, python-url.py, edit that file and then start with an import of the Client from the Filestack Python SDK. You have run that pip installs command, right? For more information about filestack installation please visit https://www.filestack.com/docs/api/sdk/python/#installation
Pandas
- PDEP-13: The Pandas Logical Type System
- PHP Doesn't Suck Anymore
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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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.
What are some alternatives?
Tutanota makes encryption easy - Tuta is an email service with a strong focus on security and privacy that lets you encrypt emails, contacts and calendar entries on all your devices.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
TinyMCE - The world's #1 JavaScript library for rich text editing. Available for React, Vue and Angular
tensorflow - An Open Source Machine Learning Framework for Everyone
auth0-python - Auth0 SDK for Python
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
localtunnel - expose yourself
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Codename One - Cross-platform framework for building truly native mobile apps with Java or Kotlin. Write Once Run Anywhere support for iOS, Android, Desktop & Web.
Keras - Deep Learning for humans
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration