Micro Python is a version of Python that runs on microcontrollers. It allows Python code to control microcontrollers like the STM32F4 Discovery board. The document discusses the Micro Python project, the pyboard development board, and demonstrates some example Python code for controlling LEDs, reading switches, and using other hardware on the STM32F4 Discovery board with Micro Python.
Micro Python is a version of Python that runs on microcontrollers. It allows Python code to control microcontrollers like the STM32F4 Discovery board. The document discusses the Micro Python project, the pyboard development board, and demonstrates some example Python code for controlling LEDs, reading switches, and using other hardware on the STM32F4 Discovery board with Micro Python.
Effective Numerical Computation in NumPy and SciPyKimikazu Kato
This document provides an overview of effective numerical computation in NumPy and SciPy. It discusses how Python can be used for numerical computation tasks like differential equations, simulations, and machine learning. While Python is initially slower than languages like C, libraries like NumPy and SciPy allow Python code to achieve sufficient speed through techniques like broadcasting, indexing, and using sparse matrix representations. The document provides examples of how to efficiently perform tasks like applying functions element-wise to sparse matrices and calculating norms. It also presents a case study for efficiently computing a formula that appears in a machine learning paper using different sparse matrix representations in SciPy.
- Yoshiki Shibukawa presented on search engines and his new Python module Oktavia at PyConJP.
- Oktavia uses the FM-index algorithm as a backend which is better for eastern Asian languages compared to traditional inverted indexes.
- It provides APIs for creating search features in applications and includes metadata support to enrich search results.
- The module was recently published on PyPI and the speaker plans to continue adding features.
This document discusses directory write leases in MagFS, a globally distributed file system. It introduces the concept of directory write leases, which allow clients to cache and execute namespace-modifying operations locally to improve performance over high-latency networks. Evaluation results show that directory write leases enable workloads to complete much faster with increasing network latency compared to synchronous approaches.
The document discusses Performance Co-Pilot (PCP), a system-level performance monitoring and performance management toolkit for Linux. PCP allows for the collection, monitoring, and analysis of system metrics. It includes tools for creating and replaying archive logs that capture performance information. PCP has a distributed architecture that allows for monitoring of local and remote nodes in real-time or using archived data. Key PCP components include collectors that gather metrics and consumers that analyze and visualize performance data. Example consumer tools demonstrated are pmstat, pmatop, pmcollectl, pminfo, and pmchart.
PCP Introduction is an overview presentation on Performance Co-Pilot (PCP), an open source toolkit for system-level performance analysis on Linux, UNIX, and Windows systems. PCP allows for monitoring of live and historical system performance metrics across single and distributed systems. It includes a metrics namespace, collector and consumer toolkits to extract, store, and visualize performance data. Recent developments focus on container awareness, new kernel instrumentation, and browser/API interfaces to support modern monitoring needs.
Originally presented at SXSW March 13, 2011, on panel with Fred Beecher and Austin Govella. Modified and updated for Web 2.0 Expo talk, October 12, 2011, UX Web Summit September 26, 2012; Webdagene September 10, 2013.
Given the changing nature of enterprise networking, Riverbed decided to survey attendees of the recent VMworld conference about their companies’ current plans for these emerging technologies. Riverbed surveyed 260 attendees face-to-face, from a variety of roles and with a median company size of 2,300 employees.
Here is a best practice of Carrier-Grade AWS security, once you've copied the AWS cloud formation script provided by NTT DCOOMO. Let's open a new vista with this presentation.
(拡散希望。この夢の部分が伝わらないと、道楽と思われる)どうしてこういう活動をするのか? スタートアップがいきなり電話会社と同レベルのセキュリテイとデータアナリティクスを手に入れる。サービス企業がシステム構築のイニシアティブが取れるのです。そうすれば、より企業連携がより緊密にできる。企業連携のイノベーションが新たに生まれる。標準化重視のIndustrie4.0より先に行けるのです。横方向の展開で新たなバリューチェーンがしっかりと生まれる。