Defer allows you to execute functions after the surrounding function returns. Panic stops execution of the current function and executes any deferred functions before propagating the panic. Recover allows recovering from panics in deferred functions. Together, defer, panic, and recover provide a way to handle errors and ensure cleanup in Go.
learn how to program with python
from scratch to be an expert
use the link in the first slide to get the full course
here is the link if you want : https://oke.io/JdxdUl
the link of the documentation : https://oke.io/J6DeY3
link to download python : https://oke.io/BENgRLR2
learn how to program with python
from scratch to be an expert
use the link in the first slide to get the full course
here is the link if you want : https://oke.io/JdxdUl
the link of the documentation : https://oke.io/J6DeY3
link to download python : https://oke.io/BENgRLR2
Python is an interpreted, high-level, and general-purpose programming language.
It is an easy to learn general-purpose programing language.
It is a platform-independent programing language, which means it can be used on any machine and in any operating system.
It has a simple syntax
Python is a case sensitive language.
It is an interrupted language.
It is free to use and even free for commercial products.
AMC Squarelearning Bangalore is the best training institute for a career development. it had students from various parts of the country and even few were from West African countries.
Python is an interpreted, high-level, and general-purpose programming language.
It is an easy to learn general-purpose programing language.
It is a platform-independent programing language, which means it can be used on any machine and in any operating system.
It has a simple syntax
Python is a case sensitive language.
It is an interrupted language.
It is free to use and even free for commercial products.
AMC Squarelearning Bangalore is the best training institute for a career development. it had students from various parts of the country and even few were from West African countries.
Check out these exercises: http://de.slideshare.net/nicolayludwig/3-cpp-procedural-programmingexercises
- Procedural Programming
- Predefined and User defined Functions
- Declaration and Definition of Functions
- Procedural and recursive Function Calling
- Namespaces and separated Function Definitions
- A Glimpse of Separated Compilation and Translation Units
Introduction to Python 01-08-2023.pon by everyone else. . Hence, they must be...DRVaibhavmeshram1
Python
Language
is uesd in engineeringStory adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) “The Seven Habits of Highly Effective People” Simon & Schuster).
“Management is doing things right, leadership is doing the right things”
(Warren Bennis and Peter Drucker)
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they should believe the change is really going to happen.
The decision maker:
Leaders usually control resources such as people, budgets, and equipment, and thus have the authority to make decisions (as per their span of control) that affect the initiative.
During change, leaders must leverage their decision-making authority and choose the options that will support the initiative.
The Decision-Maker is decisive and sets priorities that support change.
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they should believe the change is really going to happen.
The decision maker:
Leaders usually control resources such as people, budgets, and equipment, and thus have the authority to make decisions (as per their span of control) that affect the initiative.
During change, leaders must leverage their decision-making authority and choose the options that will support the initiative.
The Decision-Maker is decisive and sets priorities that support change.
The Sponsor:
Champion and advocates for the change at their level in the organization.
A Sponsor is the person who won’t let the change initiative die from lack of attention, and is willing to use their political capital to make the change happen
The Role model:
Behaviors and attitudes demonstrated by them are looked upon by everyone else. . Hence, they must be willing to go first.
Employees watch leaders for consistency between words and actions to see if they s
Conférence des Geeks Anonymes sur " le langage Go ", par Thomas Hayen le 23 septembre 2020.
Cette conférence est disponible en vidéo sur Youtube : https://youtu.be/AlGGneVGTJk
Introduction to Python Programming | InsideAIMLVijaySharma802
Machine Learning With Python From India’s Most Advanced Learner’s Community. 200+ High-Quality Lectures. 4 Months Live Mentor-ship. 15+ Projects. Industry Insights.
Visit- https://insideaiml.com/course-details/Machine-Learning-with-Python-Statistics
C Programming Language Tutorial for beginners - JavaTpointJavaTpoint.Com
JavaTpoint share a presentation of C Programming language for beginners and professionals. now in this slideshare you will be learned basics of c programming language, what is c programming language, history of c programming, installing turbo c, features of c programming language, datatypes of c language, operaters in c, control statement of c language, c language functions, c array, pointer in c programming, and structure and union.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
5. Defer
● A defer statement allows you to execute a function when the calling function returns
● When you call the defer statement, the given function is pushed into a list
● After the surrounding function returned, functions in the list are executed in LIFO order
● Defer is commonly used to improve readability
9. 1. A deferred function's arguments are evaluated when the defer
statement is evaluated.
func main() {
i := 0
defer fmt.Println(i)
i++
}
func main() {
i := 0
defer func() {
fmt.Println(i)
}()
i++
}
0 1
10. func main() {
for i := 0; i < 4; i++ {
defer fmt.Print(i)
}
}
2. Deferred function calls are executed in Last In First Out order
after the surrounding function returns.
3210
11. func f() (i int) {
defer func() { i++ }()
return 2
}
func main() {
fmt.Println(f())
}
3. Deferred functions may read and assign to the returning
function's named return values.
3
13. Panic
● A built-in function from the runtime
● When the function F calls the panic function
○ It stops the actual execution
○ Deferred functions in F are executed
○ F returns to its caller
○ For the caller, F acts like a call to panic
○ Once all the functions of the panicking goroutine have returned, the program crashes
14. package main
import "fmt"
func main() {
f()
fmt.Println("Returned normally from f.")
}
func f() {
defer fmt.Println("Defer in f")
fmt.Println("Calling g.")
g(0)
fmt.Println("Returned normally from g.")
}
func g(i int) {
if i > 3 {
fmt.Println("Panicking!")
panic(fmt.Sprintf("%v", i))
}
defer fmt.Println("Defer in g", i)
fmt.Println("Printing in g", i)
g(i + 1)
}
Calling g.
Printing in g 0
Printing in g 1
Printing in g 2
Printing in g 3
Panicking!
Defer in g 3
Defer in g 2
Defer in g 1
Defer in g 0
Defer in f
panic: 4
goroutine 1 [running]:
16. Recover
● A built-in function from the runtime
● It recovers from a panicking goroutine
● It can only be used in a deferred function
● Calling recover will
○ Return the value given to panic and resume normal execution if the calling goroutine is panicking
○ Return nil and do nothing otherwise
17. package main
import "fmt"
func main() {
f()
fmt.Println("Returned normally from f.")
}
func f() {
defer func() {
if r := recover(); r != nil {
fmt.Println("Recovered in f", r)
}
}()
fmt.Println("Calling g.")
g(0)
fmt.Println("Returned normally from g.")
}
func g(i int) {
if i > 3 {
fmt.Println("Panicking!")
panic(fmt.Sprintf("%v", i))
}
defer fmt.Println("Defer in g", i)
fmt.Println("Printing in g", i)
g(i + 1)
}
Calling g.
Printing in g 0
Printing in g 1
Printing in g 2
Printing in g 3
Panicking!
Defer in g 3
Defer in g 2
Defer in g 1
Defer in g 0
Recovered in f 4
Returned normally from f.
20. Panic should always be
recovered by the top level
function in order to return an
error (catchable by the caller)
21. Gin web server
● Panic recovery is implemented in the default middleware
● This recover prevents Gin runtime from crashing because a handler function (defined by the
program that is using Gin framework) panics
○ Handler function is passed to Gin router
○ Client calls the handled endpoint
○ Middleware calls the handling function
○ Handling function panics
○ When returning, handling function acts as a call to panic for the middleware
○ Middleware recovers the panic and throw a 500 HTTP error
22. JSON package
● unmarshal function handles recovery
● value function calls the type associated
decoding function
● object, array and literal functions reads data
and stores it into given struct
○ literal is the simple function
○ object and array recalls value (indirect
recursion)
● On error, panic is used to unstack calls
23. Stop sending values to a closed channel
producer
consumer
consumer
consumer
channel
producer
produce
r
close
send
panic
producer
● Multi-producers channel is a problem
○ If a producer closes the channel, others
shouldn’t send (or they’ll panic)
● We can handle it by using multiple ways
○ Share a “done” channel between producers
○ Use a N(1-producer/1-consumer) pattern
○ Recover panic
24. The problem
1. Create a channel
2. Generate 3 producers
a. After a random waiting time, each producer writes to the chan
b. Then, each producer closes the channel
3. Generate one consumer
a. It consumes the channel until it’s closed
4. Main waits for all the producers and the consumer to exit
25. The solution
1. Create a channel
2. Generate 3 producers
a. After a random waiting time, each producer writes to the chan
b. Then, each producer closes the channel if nothing has been recovered
3. Generate one consumer
a. It consumes the channel until it’s closed
4. Main waits for all the producers and the consumer to exit
26. The solution
func main() {
ch := make(chan int)
wg := sync.WaitGroup{}
// Producers
for i := 0; i < 3; i++ {
wg.Add(1)
go func(i int) {
defer func() {
if recover() == nil {
close(ch)
}
fmt.Printf("Producer exited: %dn", i)
wg.Done()
}()
<-time.After(time.Second * time.Duration(rand.Intn(3)))
ch <- i
}(i)
}
// Consumer
wg.Add(1)
go func() {
defer func() {
fmt.Println("Consumer exited")
wg.Done()
}()
for {
select {
case i, ok := <-ch:
if !ok {
return
}
fmt.Printf("Consumed: %dn", i)
}
}
}()
wg.Wait()
}