Hi all, I trust you are well! I'm cross-posting this here in case any members of this list haven't received the announcements via Meetup.com.
This month the Melbourne Python User Group is trying something new - we're combining with Python Adelaide, Sydney Python, Canberra PUG, and Perth Django and Python Developers for an online event! Many thanks to Henry Walshaw for taking the initiative to organise this from the Python Charmers side. We've got two speakers lined up this month: *1. Sufficiently Advanced Testing: *Zac Hatfield-Dodds Writing tests is a great start - but property-based testing libraries like Hypothesis can help you find bugs you didn't know were possible! There are even more advanced techniques out there, like symbolic execution, fuzzing, metamorphic relations, and delta-debugging. Come find out how they work, why you'd use them, and change the way you think about testing! Zac is a Hypothesis core developer and Pytest maintainer, and often speaks about advanced testing at Python conferences. He is employed by the Australian National University in a mixed research-and-teaching position, and leads the software component of his institute's Masters program. *2. Analytic Web Apps in Python: A data superpower:* Ned Letcher Interactive interfaces for exploring and working with data are valuable across a broad range of analytic contexts, including business intelligence dashboards, interactive reports, tools for dataset exploration, and custom tools supporting the machine learning lifecycle. In the last few years, there has been a flurry of open source Python frameworks that facilitate the rapid construction of data-oriented web apps. Notable examples include Plotly Dash, Voila, Panel, and Streamlit. These libraries enable you and your team to more rapidly prototype, develop, and deploy analytic applications without needing to bring in a frontend technical delivery team or spin up and maintain a modern web development stack yourself. But how do you choose between all these libraries? I will take the audience on a whirlwind tour of popular Python libraries in this space, presenting real-world applications that they have been used to create, outlining features that differentiate the frameworks, and identifying contexts that each is potentially well-suited for. This talk will be useful for individuals, team leads, and decision-makers looking to make an informed decision about libraries to add to your toolkit for rapidly producing data-oriented applications. Ned is a data scientist and software engineer who has helped a range of organisations in projects involving machine learning, natural language processing, information retrieval, and data visualisation. Ned has been using Python for data analysis, visualisation, machine learning, and web development for over 10 years. Ned is a contributor to the Plotly *Dash* library and an active member of the *Dash* community. Ned has a PhD in computational linguistics from the Natural Language Processing group at the University of Melbourne. He also has a Bachelor of Arts (philosophy and linguistics) and a Bachelor of Science with Honours (computer science). Ned regularly presents at local meetups and organises the Melbourne Data Visualisation Meetup. The second reminder for the details for tonight's meeting. You can use either YouTube or Facebook with one of these links: *Joining:* RSVP here <https://www.meetup.com/en-AU/Melbourne-Python-Meetup-Group/events/269964690/>. We'll keep you posted with more details. Below are details of how to log in and join the fun closer to the event. We'd love your feedback on this as well so we can keep this up in the coming months, so if you have any suggestions please feel free to leave a comment on the Meetup site! *YouTube Live:* https://www.youtube.com/watch?v=K7eDJT7djro *Facebook Live:* https://www.facebook.com/pythonadelaide/videos/271312207225950/ If you have any questions during the talk please feel free to comment on the videos and we'll try and respond after the talks. Any issues shoot us a reply to this email and we'll try to help out. Looking forward to seeing you tonight! The MPUG Team! -- Dr. Edward Schofield Python Charmers http://pythoncharmers.com
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