- The document provides an overview of Python from the perspective of the author, including pros and cons.
- Some key advantages mentioned are that Python has a very large ecosystem and library support, is easy to read and learn syntax-wise, and is a leader in machine learning development.
- Disadvantages include slow performance compared to compiled languages, weak support for mobile and browsers, challenges around versioning and packaging, and dynamic typing leading to potential runtime errors.
- The author emphasizes sticking to PEP 8 coding standards and using tools like IDEs, pylint, and PEP 20 ("The Zen of Python") to help address Python's downsides.
This is a python course for beginners, intended both for frontal class learning as well as self-work.
The Course is designed for 2 days and then another week of HW assignments.
Intro to Python Workshop San Diego, CA (January 19, 2013)Kendall
These slides were presented at the Intro to Python Workshop in San Diego, California on January 19, 2013. This workshop was for absolute beginners in Python, and builds from the ground up. There were two projectors used in the presentation, one for showing these slides and one with a command-line Python prompt to show the execution of example code throughout the presentation.
The presenters were David Neiss and Kendall Chuang of the San Diego Python Users Group.
Python Ecosystem for Beginners - PyCon Uruguay 2013Hannes Hapke
"From a python beginner to a django developer in 6 months" is a compilation of learning resources for programming beginners. Hannes tells his story of learning Python and shows how the Pros (e.g. Jacob Kaplan-Moss) learned the programming language.
This is a python course for beginners, intended both for frontal class learning as well as self-work.
The Course is designed for 2 days and then another week of HW assignments.
Intro to Python Workshop San Diego, CA (January 19, 2013)Kendall
These slides were presented at the Intro to Python Workshop in San Diego, California on January 19, 2013. This workshop was for absolute beginners in Python, and builds from the ground up. There were two projectors used in the presentation, one for showing these slides and one with a command-line Python prompt to show the execution of example code throughout the presentation.
The presenters were David Neiss and Kendall Chuang of the San Diego Python Users Group.
Python Ecosystem for Beginners - PyCon Uruguay 2013Hannes Hapke
"From a python beginner to a django developer in 6 months" is a compilation of learning resources for programming beginners. Hannes tells his story of learning Python and shows how the Pros (e.g. Jacob Kaplan-Moss) learned the programming language.
Thumb.co.il is the best web-based video format inspector tool ever created. This is an overview of the reasons for creating thumbcoil and a peek into some of the cool technology contained therein.
IPython is an interactive Python shell, it provides tools for interactive and parallel computing that are widely used in the scientific world. It can also benefit any other Python developer.
A quick overview of why to use and how to set up iPython notebooks for researchAdam Pah
A quick overview of why to use and how to set up iPython notebooks for research in the Amaral lab. Example notebook is a gist at:
http://nbviewer.ipython.org/gist/anonymous/f8e6d8985d2ea0e4bab1
Infrastructure as code might be literally impossible / Joe Domato (packageclo...Ontico
HighLoad++ 2017
Зал «Мумбай», 7 ноября, 12:00
Тезисы:
http://www.highload.ru/2017/abstracts/2918.html
This talk will begin by briefly examining what it means for infrastructure to be represented as code. We'll examine some fundamental software components required for automating infrastructure such as GPG, package managers, SSL, and more. We'll examine some interesting failure cases for these tools and how these shortcomings might make infrastructure as code impossible, for now.
Beginning nxt programming_workshop in Computer education robotics whoevgjvvvv...OhSoAwesomeGirl
It's all about ROBOTICS. so it can be helpful. get me? hahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbdon't think that i am stupid whahahahahahahahaha
Thumb.co.il is the best web-based video format inspector tool ever created. This is an overview of the reasons for creating thumbcoil and a peek into some of the cool technology contained therein.
IPython is an interactive Python shell, it provides tools for interactive and parallel computing that are widely used in the scientific world. It can also benefit any other Python developer.
A quick overview of why to use and how to set up iPython notebooks for researchAdam Pah
A quick overview of why to use and how to set up iPython notebooks for research in the Amaral lab. Example notebook is a gist at:
http://nbviewer.ipython.org/gist/anonymous/f8e6d8985d2ea0e4bab1
Infrastructure as code might be literally impossible / Joe Domato (packageclo...Ontico
HighLoad++ 2017
Зал «Мумбай», 7 ноября, 12:00
Тезисы:
http://www.highload.ru/2017/abstracts/2918.html
This talk will begin by briefly examining what it means for infrastructure to be represented as code. We'll examine some fundamental software components required for automating infrastructure such as GPG, package managers, SSL, and more. We'll examine some interesting failure cases for these tools and how these shortcomings might make infrastructure as code impossible, for now.
Beginning nxt programming_workshop in Computer education robotics whoevgjvvvv...OhSoAwesomeGirl
It's all about ROBOTICS. so it can be helpful. get me? hahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahahbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbdon't think that i am stupid whahahahahahahahaha
A brief introduction on Python.
This talk was presented at the meeting of the Beijing Software Craftsmanship Group on 2013/02/28.
http://www.meetup.com/BeijingSoftwareCraftsmanship/events/103481622
Please refer to the code demo'ed live:
https://github.com/rhcarvalho/talks/tree/master/2013/02-28%20Python%20in%2015%20minutes/code
Graham Thomas - 10 Great but Now Overlooked Tools - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on 10 Great but Now Overlooked Tools by Graham Thomas. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
So you decided to use Plone for your project or are considering it. One of the greatest benefits about that decision is that you get to work with Python. Don't stay on the shallow end of the pool, go deeper into Python! Carlos de la Guardia shows how you can use it to make your site work better and maybe even create some independent Python apps.
'10 Great but now Overlooked Tools' by Graham ThomasTEST Huddle
The idea for this presentation came directly from EuroSTAR 2011. Sitting on the bus back to the conference centre after attending the Gala Dinner, a discussion started, about industry luminaries who turn up at conferences and give presentations which roughly say "Don't do all the stuff that I told you to do 5 years ago! Do this stuff now." But, but, but . . . .
As we got talking I realised how many simple effective tools I no longer used, because they have either become overlooked, forgotten and thus fallen into disuse, or because modern methods claim not to need them and they are redundant. I wondered if any of them were worth looking at again - starting with my trusty flowcharting template; I realised it is a great tool which I have overlooked for far too long!
Here is my list of 10 great but now overlooked tools:
• Flowcharts
• Prototypes
• Project Plans
• Mind Maps
• Tools we already have at our disposal like ....
• Aptitude Tests
• Hexadecimal Calculators
• Desk Checking
• Data Dictionaries and Workbenches
This is my list of really useful tools that I think are overlooked. In the webinar I will outline each tool, why I think it was great, and what we are missing out by not using it.
And it naturally follows that if there are some tools we have overlooked then there are also some tools that we should get rid of! I will identify some.
Hopefully this webinar will give you a different perspective on tools to use for testing, some tools that may be improved upon or plain discarded, and help you think about the tools you currently use and maybe to view them in a different light.
Practical deep learning for computer visionEran Shlomo
This is the presentation given in TLV DLD 2017. In this presentation we walk through the planning and implemintation of deeplearning solution for image recognition, with focus on the data.
It is based on the work we do at dataloop.ai and its customers.
This is a 2 hours overview on the deep learning status as for Q1 2017.
Starting with some basic concepts, continue to basic networks topologies , tools, HW/Accelerators and finally Intel's take on the the different fronts.
This is a single day course, allows the learner to get experience with the basic details of deep learning, first half is building a network using python/numpy only and the second half we build the more advanced netwrok using TensorFlow/Keras.
At the end you will find a list of usefull pointers to continue.
course git: https://gitlab.com/eshlomo/EazyDnn
Intel and Amazon - Powering your innovation together. Eran Shlomo
In these slides we go over the current joined offering from Intel and amazon, the coming great technologies and how the two companies are creating synergy that boost your innovation and productivity.
This was presented in TLV AWS loft Mar 2017.
The industrial internet of things present the fastest growing IoT market, aiming for reduction in cost, TTM and rise in quality.
This is the presentation from the Israeli System e.g conference.
Intel RealSense & Depth cameras expected usage in the coming years.
Robotics, Drones, Autonomous cars, Gestures, 3D scanning, Bio signature and many others.
Code and some more technical details are available at https://github.com/IntelRealSense/librealsense
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
2. About me
Intel Perceptual computing.
Compute, cloud and embedded expert.
Started with Python around 7 years ago with analytics tools, used it for bunch of
stuff since then.
Focus on Data science and Machine learning in recent years
Disclaimer: The following are my views , please learn further on anything you
find interesting and feel free to send me a note on matters you disagree
5. Very newbie friendly, Great Eco-system
A LOT of
material
online, for
free
Syntax is
very easy to
read and
learn
Free dev
environment
and tools
(as starter)
6. A lot of good quality libraries and tools
Internet: Web
servers, Web
client, Scrappers,
SDKs for all major
services
Infrastructure &
Tooling: cross
platform, DevOps,
Testing, Cloud
management, IT,
consoles,…
Good selection of
GUI capabilities ,
cross platform
and cross
programming
langs (Xpython)
7. Machine learning leadership
Leading for ML
development (with
R and Matlab),
Probably Best for
production
Most ML libraries
are python
friendly
Xaas providers
are embracing
python as well
8.
9. Mobile and browser support
No browser
support (JS
monopoly)
Weak support
for mobile
15. Python is great, yet with great power …
• Python mindset is putting a lot of the rules on community and soft
conformation (We are all grownups …).
• Use IDE, It makes a lot of the downsides smaller (Started with pyscriper, than
pydev, today pycharm)
• Try to stick to PEP 8 as your coding style, pylint your code will help you get
use to it.
16. PEP 20 -- The Zen of Python
I use “sunscreen” as life mantra and PEP20 as programming mantra, both are endless journey.
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
