Downloads & Free Reading Options - Results

SciPy 2010 Day 1 Main Track 16 Effective Use of Python in Transportation Engineering Teaching Mehmet Kunt

Talk page: https://za.pycon.org/talks/42-building-simple-yet-effective-apis-for-the-city-of-cape-town-a-python-powered-approach/ Speaker: Toufeeq Ockards Track: Data Science Type: Talk Room: Talk Room 1 Time: Oct 06 (Fri): 11:00 Duration: 0:45 If a city were to offer an API to its residents, what should it look like? Perhaps more importantly, what kind of data should these APIs serve up? Within the City of Cape Town, in the Data Science branch, we've been experimenting in the open, and believe that we have some answers. Our experiences have led us towards simple yet effective HTTP-based data APIs that furnish our citizens with crucial information. Join us in this presentation as we delve into the practical applications of these APIs, with a spotlight on the pivotal role played by the Python ecosystem. For several years, we've collaborated closely with our colleagues in the Electricity Generation and Distribution department to disseminate a status file, detailing the current load shedding stage in the City. This year, with unprecedented loadshedding, we've taken our efforts to the next level. We're not only providing more comprehensive load shedding schedules in a programmatic format, but we've also automated the generation of these status files. Additionally, we're now broadcasting significant events such as schedule updates or stage changes via a popular PubSub platform with numerous integration points. In a more recent collaboration with our counterparts in Customer Relations, we've initiated the near real time publication of data regarding "service alerts" – sizeable service disruptions that could potentially affect many residents. This initiative has been spurred by the remarkable changes in the communication landscape over the past few years - consequently, we recognise the need to deliver authoritative and clear information to the public, unencumbered by platforms controlled by 3rd parties. In both instances, the core offerings essentially consist of small, rapidly mutating JSON files served up by CDNs. The production of these files involves relatively straightforward data pipelines, primarily composed using batteries-included Python. These pipelines are deployed using both localised and serverless infrastructure configurations. We'll also illustrate how this approach proves to be resilient, astonishingly cost-effective, and conducive to rapid development. Our belief is that the power of this approach lies in its simplicity yet the importance of its content. By delivering critical information to our residents in the simplest possible digital form, we unlock countless possibilities for use - from highly scaleable resident facing websites, to popular apps, this approach has proved itself in practice. Sponsors: Platinum: Python Software Foundation: https://www.python.org/psf/membership Patron: Thinkst Canary: https://canary.tools/ Afrolabs: http://www.afrolabs.co.za/

Talk page: https://za.pycon.org/talks/42-building-simple-yet-effective-apis-for-the-city-of-cape-town-a-python-powered-approach/ Speaker: Toufeeq Ockards Track: Data Science Type: Talk Room: Talk Room 1 Time: Oct 06 (Fri): 11:00 Duration: 0:45 If a city were to offer an API to its residents, what should it look like? Perhaps more importantly, what kind of data should these APIs serve up? Within the City of Cape Town, in the Data Science branch, we've been experimenting in the open, and believe that we have some answers. Our experiences have led us towards simple yet effective HTTP-based data APIs that furnish our citizens with crucial information. Join us in this presentation as we delve into the practical applications of these APIs, with a spotlight on the pivotal role played by the Python ecosystem. For several years, we've collaborated closely with our colleagues in the Electricity Generation and Distribution department to disseminate a status file, detailing the current load shedding stage in the City. This year, with unprecedented loadshedding, we've taken our efforts to the next level. We're not only providing more comprehensive load shedding schedules in a programmatic format, but we've also automated the generation of these status files. Additionally, we're now broadcasting significant events such as schedule updates or stage changes via a popular PubSub platform with numerous integration points. In a more recent collaboration with our counterparts in Customer Relations, we've initiated the near real time publication of data regarding "service alerts" – sizeable service disruptions that could potentially affect many residents. This initiative has been spurred by the remarkable changes in the communication landscape over the past few years - consequently, we recognise the need to deliver authoritative and clear information to the public, unencumbered by platforms controlled by 3rd parties. In both instances, the core offerings essentially consist of small, rapidly mutating JSON files served up by CDNs. The production of these files involves relatively straightforward data pipelines, primarily composed using batteries-included Python. These pipelines are deployed using both localised and serverless infrastructure configurations. We'll also illustrate how this approach proves to be resilient, astonishingly cost-effective, and conducive to rapid development. Our belief is that the power of this approach lies in its simplicity yet the importance of its content. By delivering critical information to our residents in the simplest possible digital form, we unlock countless possibilities for use - from highly scaleable resident facing websites, to popular apps, this approach has proved itself in practice. Sponsors: Platinum: Python Software Foundation: https://www.python.org/psf/membership Patron: Thinkst Canary: https://canary.tools/ Afrolabs: http://www.afrolabs.co.za/

Python Programming Language- In Civil Structural Engineering_ Reinforced Concrete Column Effective Length To EuroCode 2

Talk page: https://za.pycon.org/talks/36-effective-prompt-engineering-for-python-programmers/ Speaker: Diana Pholo Track: Teaching and Learning with Python Type: Remote Talk Room: Talk Room 2 (Remote Talks) Time: Oct 05 (Thu): 14:15 Duration: 0:45 The world of technology is witnessing a transformation powered by Large Language Models (LLMs) like ChatGPT and Bing AI. These marvels of AI are reshaping how we interact with machines as they can comprehend and generate human-like text. But to get the most out of these models, you must learn to ask the right question. Prompt engineering is the art of crafting specific instructions for LLMs. It molds the language model's responses, making them more accurate, relevant, and actionable. Our session will delve into the essence of prompt engineering, addressing its significance for programmers and its role in improving model outputs and reducing biases. We'll explore a variety of prompt types, and offer practical tips for optimisation. Additionally, we'll navigate through real-world case studies, showcasing the tangible impact of prompt engineering on programming tasks. If you're intrigued by the potential of LLMs and eager to harness their power effectively, this presentation is your gateway to unlocking their true potential in your projects. URLs: Slides (pdf): https://2023.za.pycon.org/media/pages_files/Effective_Prompt_Engineering_Slides.pdf Sponsors: Platinum: Python Software Foundation: https://www.python.org/psf/membership Patron: Thinkst Canary: https://canary.tools/ Afrolabs: http://www.afrolabs.co.za/

William Horton https://www.pytexas.org/2019/talk/U2Vzc2lvbk5vZGU6OTU= It's 2019, and Moore's Law is dead. CPU performance is plateauing, but GPUs provide a chance for continued hardware performance gains, if you can structure your programs to make good use of them. In this talk you will learn how to speed up your Python programs using Nvidia's CUDA platform. PyTexas2019 The PyTexas Foundation was organized as a Texas non-profit corporation in 2014 and received its 501(c)(3) recognition in early 2015. Although we cannot guarantee that your contribution to PyTexas will be tax-deductible (we aren't tax attorneys and just don't know), you can rest assured that any contributions to the organization will always be used to further the common goals of the Texas Python community, and never for personal benefit. PyTexas is the annual, regional gathering for the Python community in Texas. PyTexas is organized and run by community volunteers. PyTexas, like most of the Python community, is focused on providing a diverse and enjoyable experience for everyone interested in Python. Please help us do that by following the code of conduct. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python Sat Apr 13 15:15:00 2019 at Special Event Center