- Видео 320
- Просмотров 332 354
PyCon Israel
Израиль
Добавлен 18 июн 2017
PyCon Israel is an annual multi-day event focused on the Python programming language, with approximately 700 participants from various disciplines.
While the common denominator is the Python programming language, the topics to be presented relate to many fields, including: DevOps, cloud computing, scientific computing, data science, web programming, cyber security, community engagement and more. In recent years, Python has become a very popular multi-purpose programming language used by many well known international companies.
While the common denominator is the Python programming language, the topics to be presented relate to many fields, including: DevOps, cloud computing, scientific computing, data science, web programming, cyber security, community engagement and more. In recent years, Python has become a very popular multi-purpose programming language used by many well known international companies.
Shai Berger: What we want to see in PyCon
שי ברגר מסביר לקהל אילו הרצאות מחפש צוות התוכן של פייקון ישראל.
מתוך סדנת הכנה ל־CFP של כנס פייקון ישראל 2024
מתוך סדנת הכנה ל־CFP של כנס פייקון ישראל 2024
Просмотров: 94
Видео
Sharone Zitzman: Don't Be a Hack / Dev Talks FTW
Просмотров 522 месяца назад
שרון זיצמן מסבירה לקהל איך לבנות הרצאה טכנית. מתוך סדנת הכנה ל־CFP של כנס פייקון ישראל 2024
Erez Waisbard- How to prepare your python code for the post-quantum era
Просмотров 15411 месяцев назад
The post-quantum era is upon us, and new cryptographic algorithms are now available. Python developers that use encryption, signatures, or other cryptographic operations in their code must update their Python code. There are already Python implementations, but they can be problematic to use as a drop-in. In this session, We will learn about post-quantum cryptography algorithms and why we should...
Galit Bary-Weisberg- Clean Code for Data Scientists
Просмотров 514Год назад
Python is a powerful and flexible language. However, its flexibility can sometimes lead to suboptimal code. For instance, consider this snippet taken from a real-world codebase: {v: [] for v in [a for b in p for a in b]}. Many data scientists who use Python on a daily basis lack traditional software engineering education, resulting in code that may be difficult to maintain and debug. Fortunatel...
Irit Katriel- opening keynote: Error Handling: From Charles Babbage to Python 3.11
Просмотров 2,5 тыс.Год назад
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
Haki Benita- Taming Nondeterminism With Dependency Injection
Просмотров 134Год назад
There are many sources of nondeterminism in code such as randomness, IO, environment variables, databases and many more. Dependency injection is a pattern that provides a way to control nondeterminism in code and make tests easier to write. In this talk I'll demonstrate how nondeterminism can pose challenges even in simple functions, and how to use dependency injection to address these problems!
Ran Bar Zik- Using 4$ microprocessor
Просмотров 272Год назад
ESP32 is a 4$ only microprocessor, it is a NON-Arduino microprocessor with built-in WiFi and Bluetooth, and you can work with it without electronic knowledge. Anyone with only expertise in Python can program and build a networking chip for monitoring your home network or a security infiltration tool that can hack WiFi networks or anything else - the sky is the limit! In this lecture, I will exp...
Boris Gorelik- The Secret Agents of Modeling: Why ABM Deserves Your Attention!
Просмотров 103Год назад
With recent advances in AI, novel methods like generative AI and large language models have captured significant attention. However, Agent-Based Modeling (ABM) offers unique advantages and versatility for various applications such as financial modeling, social interactions, and cybersecurity. In this talk, I aim to demonstrate the potential of ABM for fast experimentation and hypothesis testing...
Aur Saraf- Things you can do in Python, but probably shouldn't
Просмотров 469Год назад
Have you ever used cffi to mutate an immutable str? Used fuckit('module') to import a module that tends to throw random fits of anger (and exceptions)? Used try: 1/0; except: import inspect to change a function's behavior based on who called it? Used an import hook to extend Python's syntax with your own syntactic constructs? Implemented a cache for your functions that parametrizes on the last ...
Omer Shacham , Oren Nissenbaum- Python Typing Implamentation
Просмотров 144Год назад
In this PyCon lecture, we'll explore Python typing implementation and why it's an important tool for any Python developer. We'll cover the basics of how to implement typing correctly, as well as some common mistakes to avoid. We'll also delve into some popular typing-related tools like mypy, dataclass, and pydantic. You'll come away with a solid understanding of Python typing and how to use the...
Josh Grossman , Michal Kamensky- Omniscient AppSec
Просмотров 110Год назад
The best software security solutions to your security requirements and challenges are specific to your use case, self-service and don't impede development velocity. This will often include creating custom, safe versions of functionality or not allowing the use of certain library functions which we know are dangerous. However, making sure that this guidance is constantly followed can be problema...
Alon Nisser- How to kill your PySpark performance with these simple tricks
Просмотров 166Год назад
Pyspark, spark’s python interface is a potent data processing tool and potentially very high performing. This talk is about PYSpark's strong points and how common anti-patterns abuse and hurt PYSpark applications' performance, forcing you to throw more money and lose many of spark benefits. But there is a better way, using native pyspark tools and patterns that I’ll present
Eyal Trabelsi- Practical Optimisation for Pandas
Просмотров 152Год назад
Writing performant pandas code is not an easy task, in this talk I will explain how to find the bottlenecks and how to write proper code with computational efficiency, and memory optimization in mind.
Chayim Kirshen- Fixing a CVE In the Open: redis-py, chatgpt, and open source bug hunting
Просмотров 111Год назад
Ever experience a bug in a python library? What about a library that's downloaded nearly 30 million times a month? This talk focuses on a vulnerability - one that caused data leakage in some services. Attend this talk this talk, to learn about the vulnerability that brought down the world's largest AI framework. Walk away with the tools to address these bugs in the future, learning how the libr...
Pini Reisman- Faster code for global scale- Mobileye HD mapping the world
Просмотров 213Год назад
Pini Reisman- Faster code for global scale- Mobileye HD mapping the world
Yifat Makias Joshua- DB migration can be less scary - using alembic tool
Просмотров 102Год назад
Yifat Makias Joshua- DB migration can be less scary - using alembic tool
Shai Cohen- Date for two: Server, Client, and Datetime in a Multi-timezone environment
Просмотров 62Год назад
Shai Cohen- Date for two: Server, Client, and Datetime in a Multi-timezone environment
Sharon Rones Makmal- Automation Thinking
Просмотров 147Год назад
Sharon Rones Makmal- Automation Thinking
Roy M Mezan- Brute force attack on Biometrical databases
Просмотров 66Год назад
Roy M Mezan- Brute force attack on Biometrical databases
Gabriel L Manor- Building Authorization With Python
Просмотров 104Год назад
Gabriel L Manor- Building Authorization With Python
Jonathan Daniel- Build Systems, Package Managers
Просмотров 213Год назад
Jonathan Daniel- Build Systems, Package Managers
Shachar Shemesh - Off road profiling - when the automated profilers just don't cut it.
Просмотров 2472 года назад
Shachar Shemesh - Off road profiling - when the automated profilers just don't cut it.
Amit Raphael - python at scale - creating a High Definition Map of the world's road network
Просмотров 5522 года назад
Amit Raphael - python at scale - creating a High Definition Map of the world's road network
Shai Geva - Property Based Testing with Hypothesis: Stronger Tests, Less Work
Просмотров 1682 года назад
Shai Geva - Property Based Testing with Hypothesis: Stronger Tests, Less Work
Lior Dagan Leib - Circuit Playground Bluefruit Board: Bringing Objects to Life (With Python Code)
Просмотров 1032 года назад
Lior Dagan Leib - Circuit Playground Bluefruit Board: Bringing Objects to Life (With Python Code)
Liran Haimovitch - Effective Protobuf: Everything You Wanted To Know, But Never Dared To Ask
Просмотров 1252 года назад
Liran Haimovitch - Effective Protobuf: Everything You Wanted To Know, But Never Dared To Ask
Excellent explanation of a very common problem. Thanks a lot!
Good lecture but Free Palestine 🇵🇸
The only video that I am happy from Israel
Excellent presentation. I am glad that you didn’t call your selector “attention” and claim that attention is all we need.
Worst video ever
Really good talk! Thank you!
You are a very good teacher. Thank you. I wish i had explnation skills like you
Really nice!
The title should have been "Sergeant"
Clear explanation that solves my problem while also helping me understand in a more comprehensive way what the real issue was and how to avoid it in the future. Thank you!!
In Yeshua Hamasiach, Name, Amen.
I can see how this impacts predictive algorithms. Once you know that "department" is a crucial variable, you go back to the prediction and make sure it is included in the training dataset, so that the prediction will be made not only according to "gender", but to "department" as well.
I wish you showed it in action
legitimate lifesaver thanks
laila .. Proud of you💙
𝓅𝓇𝑜𝓂𝑜𝓈𝓂 💦
Link to the Github repository: github.com/Anatw/Arduino-pySerial-tutorial
Have you discussed Granger causality or did I miss something?
I think Granger is more of a traditional econometrics topic? Some mentioned that it’s not exactly in the same formulation of causal inf procedure. But I’ll have to read more
讲的快但是非常凝练，很牛逼！Awesome
Very informative video. Thanks!
Clear Explanation
Great lecture. Thank you.
Hi, It will be nice to have the code or the notebook that you used. Thank you so much, please let know where we can download from.
There’s a book causal inference in Python on o reily that closely follows this. I saw an open source book as well but forgot it’s name
Oh after a closer look it does not cover some of the preprocessing but included some acyclic graph computation. It has ATE and propensity stuff and more on orthogonal decomp of models
share ppt ? where?
I am now learning about Pants, PEX and now this is a more general talk but also very cool... didn't know Twitter had a "university" channel in the past.
Beautifully explanation, thank you!
Great talk - thank you!
very informative !!!
Very informative talk. Thank you!
One of the best explanation. Thank you.
Thanks!
Great talk Gal! love to hear your presentations!
great talk! thank you Nofar!
Slides and source code can be found here: github.com/ahopkins/pyconil2021-liberate-your-api
what a nice surprise... :-) Good luck
Incredibly interesting and well presented!! Great work Orr!
Thanks Reuven for this talk!
beautiful talk. loved the fast pace
Gdb לא עובד טוב במאק
That's why docker is being used! :)
@@roeedrucker6595 לא השתמשתי בזה כי להבנתי אין תמיכה טובה בדוקר במאק בהשוואה ללינוקס*, ולא מדבר על m1. ולגבי דוקר בהשוואה למכונה וירטואלית זה פחות עומס על המעבד אבל מבחינת הזיכרון זה אותו דבר?
I am seeing the performance benefits of sergeant over celery but do you recommend it for production with version only 0.21.1?
Thank you for a great video. Can you guide why we replaced labels with residuals?
האם יש דוגמאות קוד?
היי אורי , מאד מעניין . האם תוכל להמליץ על חומר נוסף בנושא
Interesting talk, thanks!
Thank you!