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Source channel @olddriverGDstudy · Post #53 · Mar 24

#知识#接吻 第一式:舔吻 用舌舔对方的上下唇,让对方感受舌部味蕾舔掠的感觉,注意要保持唾液的充分,如果唾液太少,干燥的舔吻会有不舒服的感觉。 第二式:咬吻 用牙齿轻咬对方的唇,但别咬的太用力,以免受伤喔! 第三式:吸吻 轻轻的吸吮对方的唇部;可用自己的唾液轻抹在对方的唇部,然后吸吮干净。 第四式:推动吻 把舌伸进对方口中,让舌与舌互相推放,男生力气应放小,以免女生疼痛;这种互推吻可形成快感。 第五式:吸舌吻 以你的唇含住他的舌,轻轻的吸吮对方的舌头,动作宜缓慢而轻柔,勿过于仓促。 第六式:齿龈吻 用舌探索对方的牙及牙龈的内外两侧,以刺激口内粘膜为目的。动作要仔细,慢,轻柔的介于碰触与不碰触之间,以产生一种特殊的亲密感。 第七式:滑动吻 用舌尖稍用力的舔对方的舌部内侧,由里向外滑舔。 第八式:舔舌吻 双方以舌对舌互舔,以用舌尖为主,不用唇。 第九式:嚼食之吻 咬住对方的舌头,似欲吞食般的吻;请小心别用力过火,只是假装而已。想像对方的舌头是好吃的东西,又咬又舔又吸的想吞进肚子里去。 第十式:律动之吻 以舌在对方的口中,有节奏律动般的的绕着对方的舌尖,画圈似的舔吻。 第十一式:深喉咙吻 将舌深入对方的喉咙重舔。重压,是霸道占有般的吻;这是一种颇不舒服的吻法,但还是有乐在其中的人。 第十二式:热情之吻 将自己的舌把对方的舌包卷于口中,上下左右回旋翻动,用放肆的旋动来增加快感,虽嫌粗鲁但颇具挑战性,是接吻高手必备的技巧之一。 第十三式:甘泉之吻 利用两唇相接时……以舌将自己的唾液渡入对方口中,并吸食对方的唾液。适用于两情相悦且身体健康的爱侣,会觉入口之唾液为琼浆玉液般,世间独有。

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djangoproject

@djangoproject · Post #587 · 03/29/2018, 06:09 AM

https://us.pycon.org/2018/events/edusummit/ In 2018, #PyCon will be holding its sixth annual Python Education Summit. The Summit is a gathering of teachers and educators focused on bringing coding literacy, through Python, to as broad a group of audiences as possible. We invite educators from all venues to consider joining the discussion, share insights, learn new techniques and tools and generally share their passion for education. We are looking for educators from many venues: authors; schools, colleges, universities; community-based workshops; online programs; and government. Not only will we have a wide array of full-blown talks, we will also have a round of lightning talks!

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@djangoproject · Post #467 · 10/16/2017, 08:22 AM

https://us.pycon.org/2018/ Tutorials May 9-10 • Wednesday, Thursday Talks and Events May 11–13 • Friday, Saturday, Sunday Sprints May 14–17 • Monday through Thursday #pycon

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@djangoproject · Post #419 · 08/20/2017, 09:25 AM

https://in.pycon.org/2017/ #PyCon India, the premier conference in India on using and developing the Python programming language is conducted annually by the Python developer community. It attracts the best Python programmers from across the country and abroad. 2nd-3rd Nov, Workshop/Devsprints 4th-5th Nov, Conference Days 🔷Data Analysis and Visualization - Data Analysis and Visualization 🔷Standard library - Python Standard library features, usage 🔷Python 3k - Features, Python 2 to 3 migration experience, Writing compatible 2 and 3 code 🔷Web Development - Web Development, API design etc ... 🔷Infrastructure - Automation, Deployment 🔷Network Programming - Socket programming, Async IO, Twisted, Gevent 🔷Testing - Unit Testing, Selenium, py.test, Nose 🔷Security - Web Security, Server Security, Cryptography, Encryption 🔷Scientific Computing - Scientific/Numeric Libraries 🔷Concurrency - Parallel Processing, Async IO 🔷Embedded Python - Embedded Python, Device Interfacing, Robotics, Raspberry Pi, Arduino 🔷Core Python - Language Features, Python Implementations, Standard Library, Algorithms, C APIs

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djangoproject

@djangoproject · Post #417 · 08/20/2017, 04:41 AM

https://pune.pycon.org/2018/ Getting Involved #PyCon Pune is a community event and is volunteer-driven. People from the community come forward to volunteer and help make the conference better. Anybody attending PyCon Pune is welcome to volunteer, but you must be registered to volunteer.

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djangoproject

@djangoproject · Post #416 · 08/20/2017, 04:37 AM

https://pune.pycon.org/2017/ 🔸[Writing Beautiful Code] by Anand Chitipothu 🔸[You can help develop Python - and you should!] by Stephen Turnbull 🔸[Writing Beautiful Code] by Anand Chitipothu 🔸[Hacking Mailing Lists - The Mailman 3 API Ecosystem] by Florian Fuchs 🔸[Pagure: Past, Present and Future] by Farhaan Bukhsh 🔸[Create an impact with "Good Documentation"] by Vidya Iyengar 🔸[Testing native binaries using CFFI] by Noufal Ibrahim 🔸[i18n-ise Django Apps] by Sundeep Anand 🔸[Keynote by John 'warthog9' Hawley] by Kushal Das 🔸[Keynote by Nick Coghlan] by Kushal Das 🔸[Building trust in releases] by Nigel Babu 🔸[Django on Steroids — Lessons from Scale] by Sanket Saurav #pycon

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@djangoproject · Post #367 · 07/04/2017, 01:34 PM

https://pycon-au.org/ #Pycon Australia 2017 Melbourne(August 3-8, 2017, Melbourne Convention Centre): ♦️Unit Testing with Requests ♦️Lightflow - A lightweight, distributed workflow system ♦️Passing the Baton: Succession planning for your project ♦️Time is an illusion ♦️Prototyping Python Microservices in Production ♦️Programming Lego Mindstorms robots with Python ♦️Secrets of a WSGI master. ♦️Code Reviews Using Art Critique Principles ♦️Decoding the Frustrations and Vulnerabilities of Modern Text Processing ♦️An introduction to nodepool ♦️Improving Your Documentation: A talk for developers who want to write stuff good ♦️StarLAB: Developing a hardware based learning platform for students ♦️The Wizardry of Metaprogramming ♦️Video recording conferences and user groups using Python ♦️Messy Sensor Data: A Programmer’s Cleaning Guide ♦️Python vs Punch Out ♦️When Do We Belong? ♦️Covered in Bees! Deploying an app to 6 platforms in 20 minutes

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djangoproject

@djangoproject · Post #366 · 07/04/2017, 01:14 PM

https://pycon-au.org/ #Pycon Australia 2017 Melbourne(August 3-8, 2017, Melbourne Convention Centre): ♦️Bayesian inference & machine learning ♦️Practical testing with pytest ♦️Django & JavaScript: A long and complicated friendship ♦️Python to the (Little) People: teaching 300,000 students Python through the DT Curriculum ♦️Tuning In with SDR & Python ♦️Building the next-generation Conversational AI with Python and Deep Learning ♦️Using Python in a Data Hackathon ♦️Reflections on the Use of Python and Pygame in Senior IT ♦️Loop better: a deeper look at iteration in Python ♦️Using MicroPython in the wild ♦️Teaching Object-Oriented Programming with Python ♦️Program all the things - How to develop IoT devices using MicroPython ♦️Oh, I Found a Security Issue ♦️Learn You a PyTorch! ♦️Offline Django with Service Workers ♦️Python in Primary School ♦️Software for the Murchison Widefield Array radio telescope ♦️MicroPython for ESP32 ♦️Finding Currajong - Fuzzy string searches in Python ♦️Teaching MicroPython with the BBC micro:bit at NCSS ♦️hunter2: A Symphony of Password Horror The Messaging of Things ♦️Rapid GUI development for IOT systems ♦️Let's Run Python on a Supercomputer! ♦️Teaching Python: Adapting to Diversity ♦️Multitenant applications: how and why ♦️Horrors of Distributed Systems ♦️MicroPython Energy Monitoring ♦️Tracking Land Conversion with the Eye in the Sky ♦️iPad App Development with Python ♦️Visualising data in Python ♦️Red User, Blue User, MyUser, auth.User ♦️Programming, Python, and Student-Directed Projects ♦️Using Python For Creating Hardware To Record FOSS Conferences ♦️DNA sequencing and analysis in a remote environment; Nanopore sequencing and FPGA boards. ♦️Teaching Python Online to Primary Students ♦️Word Embeddings everywhere, Which one to choose! ♦️Bowerbirds of Technology: Architecture and Operations at Less-Than-Facebook Scale ♦️Learn by Doing: Getting Students into FOSS ♦️From PyPI to Production: Shipping Software Responsibly. ♦️Improving PySpark Performance: Spark performance beyond the JVM ♦️How Django helped us make a better conference website ♦️PEP 498: The Monologue ♦️Comprehensible Comprehensions ♦️A Really Gentle Introduction to Asyncio ♦️Concurrency and Parallelism From The Ground Up ♦️Python: Ludicrous mode (with Django) ♦️Syntax Hijacking: Genius or Evil? ♦️Fighting the controls: madness and tragedy for programmers ♦️One Data Pipeline to Rule Them All ♦️Introduction to profiling python performance with SystemTap ♦️Harnessing the APIs you didn't know existed ♦️Analysing a TwitterBot using TextBlob, NLTK and Python ♦️Call a C API from Python becomes more enjoyable with CFFI ♦️Scaling Down: Running Large Sites Locally ♦️The Importance of Design: maybe the users aren't wrong? ♦️Mocking: virtual reality for your Python tests ♦️Organizing conferences for learners: How we made it work in Namibia ♦️Wordsmiths - Operational Transformation in Python ♦️Identity 2.0: the what, why and how of social and federated login ♦️Stereo Vision ♦️The Business of Community ♦️Front-end integration testing for back-end developers ♦️Automated Python Powered Turret ♦️GraphQL: how to make clients enjoy using your API ♦️We're no strangers to VoIP: Building the National Rick Astley Hotline ♦️How to write a container daemon in Python ♦️Why'd it have to be snakes: Porting Swift to Jupyter ♦️Gradual Typing in Python ♦️Don't Look Back in Anger: Wildman Whitehouse and the Great Failure of 1858 ♦️Hot reloading Python web-servers at scale Python 3 for People Who Haven't Been Paying Attention ♦️State Machines ♦️The four kinds of documentation, and why you need to understand what they are ♦️Lessons from building serverless services in bleeding edge python

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djangoproject

@djangoproject · Post #368 · 07/04/2017, 01:39 PM

http://2017.djangocon.com.au/ #DjangoCon AU: August 4, 2017 #PyCon AU: August 5 - 6, 2017 Sprints: August 7 - 8, 2017 🔷Django and JavaScript: A long and complicated friendship 🔷Bowerbirds of Technology: Architecture and Operations at Less-Than-Facebook Scale 🔷Loop better: a deeper look at iteration in Python 🔷Oh, I Found a Security Issue 🔷Offline Django with Service Workers 🔷hunter2: A Symphony of Password Horror 🔷Multitenant applications: how and why 🔷Horrors of Distributed Systems 🔷Red User, Blue User, MyUser, auth.User

djangoproject

@djangoproject · Post #508 · 11/26/2017, 10:12 PM

The unexpected effectiveness of Python in #science. In a keynote on the first day of #PyCon 2017, Jake VanderPlas looked at the relationship between #Python and science. Over the last ten years or so, there has been a large rise in the amount of Python code being used—and released—by scientists. There are reasons for that, which VanderPlas described, but, perhaps more importantly, the growing practice of releasing all of this code can help solve one of the major problems facing science today: https://lwn.net/Articles/724255/

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