Naoko Takano discussed growing the WordPress community and successful contribution. She explained that the WordPress community benefits everyone as it consists of all contributors. Contributing provides professional development, a sense of belonging, and opportunities to meet others with similar interests. Best practices include doing what you enjoy, working as a team, getting others involved, relying on others, documenting work, and keeping a long-term, optimistic focus. The presentation encouraged attendees to get involved through Make.WordPress.org, local meetups, and additional learning resources.
Introduction to WordPress Translation Day 4Naoko Takano
This document provides information about WordPress Translation Day 4 which was held on May 11, 2019. It discusses the goals and growth of previous WordPress Translation Days, including an increase in the number of local events, translated strings, countries and translators. It also shares statistics on WordPress localization, including the top installed and translated locales. The document outlines the schedule and hosts for WordPress Translation Day 4 sessions, which aimed to teach translation best practices and make WordPress more accessible to different languages and locales around the world.
This document contains information about WordPress meetups and events in Japan, including links to the WordPress meetup site, details on organizing WordPress events, guidelines for using WordPress trademarks and logos, and an invitation to join the WordPress slack channel. It provides resources for getting involved in the WordPress community in Japan and organizing WordPress events, as well as branding guidelines for using the WordPress name and logo.
The document announces the PHP Conference Fukuoka 2018 with the theme "Communication is Oxygen." It provides contact information for Automattic, the organizer of the event, including various websites, the number of employees, documentation tips, and contact details for Naoko from Automattic.
This document summarizes Automattic's efforts to translate WordPress.com into different languages from 2005 to 2017. It began with a focus on translating the WordPress.com interface using volunteer translators on GlotPress. Over time, it expanded its approach by partnering with top language service providers that have professional translators. By 2017, WordPress.com was translated into over 120 languages thanks to these efforts to make the platform accessible to more of the world's internet users.
How to Make Your Strings Translator FriendlyNaoko Takano
Global WordPress Translation Day 3
Video: https://wordpress.tv/2018/11/23/how-to-make-your-strings-translator-friendly/
September 30, 2017
Naoko Takano, Akira Tachibana, & Mayo Moriyama
This document provides a summary of new features and changes in WordPress 4.7, including the new Twenty Seventeen theme, enhanced PDF support, post type templates, and improvements to the REST API. It also references several blog posts and articles that provide more details on these updates, and looks ahead to continued development of the REST API and WordPress in 2017.
Ride the Lightning: Distributed TeamworkNaoko Takano
Automattic is a 100% distributed company with 514 staff in 52 countries. It was established in 2005 and is headquartered in San Francisco. Automattic uses various online tools like Slack, GitHub, and internal blogs to facilitate collaboration between remote teams. The company has found success with a distributed model due to its open source roots, emphasis on asynchronous communication, and hiring process that evaluates candidates' ability to work remotely. Looking ahead, the presenter argues more jobs will be automated, collaborative, and allow self-driven work arrangements like remote work. Participants are encouraged to try distributed work through an open source project or applying to Automattic.
The Stories From the Japanese WordPress CommunityNaoko Takano
This document summarizes the Japanese WordPress community. It notes that Japanese is the second most widely used language for WordPress sites after English. It describes the various community groups in Japan that support WordPress like WordBench meetup groups and annual WordCamp conferences. It highlights the large translation contributions from the Japanese community and ways people can get involved like contributing code, documentation, or helping others.
Why WordPress became successful in Japan despite of the language barrierNaoko Takano
WordPress became successful in Japan despite the language barrier through a community-driven localization effort. Everyone involved, from individual translators and volunteers to meetup organizers, helped translate WordPress and build the local community. Naoko Takano attributes WordPress's success in Japan to small, incremental steps taken by many people to introduce WordPress to more users and keep the community growing and engaged over many years. The key to growing a strong local community is to delegate tasks, document processes, and simplify involvement for contributors.
Overview of Statistical software such as ODK, surveyCTO,and CSPro
2. Software installation(for computer, and tablet or mobile devices)
3. Create a data entry application
4. Create the data dictionary
5. Create the data entry forms
6. Enter data
7. Add Edits to the Data Entry Application
8. CAPI questions and texts
How AI is Revolutionizing Data Collection.pdfPromptCloud
Artificial Intelligence (AI) is transforming the landscape of data collection, making it more efficient, accurate, and insightful than ever before. With AI, businesses can automate the extraction of vast amounts of data from diverse sources, analyze patterns in real-time, and gain deeper insights with minimal human intervention. This revolution in data collection enables companies to make faster, data-driven decisions, enhance their competitive edge, and unlock new opportunities for growth.
AI-powered tools can handle complex and dynamic web content, adapt to changes in website structures, and even understand the context of data through natural language processing. This means that data collection is not only faster but also more precise, reducing the time and effort required for manual data extraction. Furthermore, AI can process unstructured data, such as social media posts and customer reviews, providing valuable insights into customer sentiment and market trends.
Embrace the future of data collection with AI and stay ahead of the curve. Learn more about how PromptCloud’s AI-driven web scraping solutions can transform your data strategy. https://www.promptcloud.com/contact/
The Rise of Python in Finance,Automating Trading Strategies: _.pdfRiya Sen
In the dynamic realm of finance, where every second counts, the integration of technology has become indispensable. Aspiring traders and seasoned investors alike are turning to coding as a powerful tool to unlock new avenues of financial success. In this blog, we delve into the world of Python live trading strategies, exploring how coding can be the key to navigating the complexities of the market and securing your path to prosperity.
Harnessing Wild and Untamed (Publicly Available) Data for the Cost efficient ...weiwchu
We recently discovered that models trained with large-scale speech datasets sourced from the web could achieve superior accuracy and potentially lower cost than traditionally human-labeled or simulated speech datasets. We developed a customizable AI-driven data labeling system. It infers word-level transcriptions with confidence scores, enabling supervised ASR training. It also robustly generates phone-level timestamps even in the presence of transcription or recognition errors, facilitating the training of TTS models. Moreover, It automatically assigns labels such as scenario, accent, language, and topic tags to the data, enabling the selection of task-specific data for training a model tailored to that particular task. We assessed the effectiveness of the datasets by fine-tuning open-source large speech models such as Whisper and SeamlessM4T and analyzing the resulting metrics. In addition to openly-available data, our data handling system can also be tailored to provide reliable labels for proprietary data from certain vertical domains. This customization enables supervised training of domain-specific models without the need for human labelers, eliminating data breach risks and significantly reducing data labeling cost.
Data analytics is a powerful tool that can transform business decision-making across industries. Contact District 11 Solutions, which specializes in data analytics, to make informed decisions and achieve your business goals.
Towards an Analysis-Ready, Cloud-Optimised service for FAIR fusion dataSamuel Jackson
We present our work to improve data accessibility and performance for data-intensive tasks within the fusion research community. Our primary goal is to develop services that facilitate efficient access for data-intensive applications while ensuring compliance with FAIR principles [1], as well as adoption of interoperable tools, methods and standards.
The major outcome of our work is the successful creation and deployment of a data service for the MAST (Mega Ampere Spherical Tokamak) experiment [2], leading to substantial enhancements in data discoverability, accessibility, and overall data retrieval performance, particularly in scenarios involving large-scale data access. Our work follows the principles of Analysis-Ready, Cloud Optimised (ARCO) data [3] by using cloud optimised data formats for fusion data.
Our system consists of a query-able metadata catalogue, complemented with an object storage system for publicly serving data from the MAST experiment. We will show how our solution integrates with the Pandata stack [4] to enable data analysis and processing at scales that would have previously been intractable, paving the way for data-intensive workflows running routinely with minimal pre-processing on the part of the researcher. By using a cloud-optimised file format such as zarr [5] we can enable interactive data analysis and visualisation while avoiding large data transfers. Our solution integrates with common python data analysis libraries for large, complex scientific data such as xarray [6] for complex data structures and dask [7] for parallel computation and lazily working with larger that memory datasets.
The incorporation of these technologies is vital for advancing simulation, design, and enabling emerging technologies like machine learning and foundation models, all of which rely on efficient access to extensive repositories of high-quality data. Relying on the FAIR guiding principles for data stewardship not only enhances data findability, accessibility, and reusability, but also fosters international cooperation on the interoperability of data and tools, driving fusion research into new realms and ensuring its relevance in an era characterised by advanced technologies in data science.
[1] Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016) https://doi.org/10.1038/sdata.2016.18
[2] M Cox, The Mega Amp Spherical Tokamak, Fusion Engineering and Design, Volume 46, Issues 2–4, 1999, Pages 397-404, ISSN 0920-3796, https://doi.org/10.1016/S0920-3796(99)00031-9
[3] Stern, Charles, et al. "Pangeo forge: crowdsourcing analysis-ready, cloud optimized data production." Frontiers in Climate 3 (2022): 782909.
[4] Bednar, James A., and Martin Durant. "The Pandata Scalable Open-Source Analysis Stack." (2023).
[5] Alistair Miles (2024) ‘zarr-developers/zarr-python: v2.17.1’. Zenodo. doi: 10.5281/zenodo.10790679
[6] Hoyer, S. & Hamman, J., (20
Introduction to Data Science
1.1 What is Data Science, importance of data science,
1.2 Big data and data Science, the current Scenario,
1.3 Industry Perspective Types of Data: Structured vs. Unstructured Data,
1.4 Quantitative vs. Categorical Data,
1.5 Big Data vs. Little Data, Data science process
1.6 Role of Data Scientist