The document discusses different types of errors in programming:
1. Compile-time errors occur due to syntax errors in the code and prevent the program from compiling. Examples include missing colons or incorrect indentation.
2. Runtime errors occur when the Python virtual machine (PVM) cannot execute the bytecode. Examples include type errors during operations or accessing elements beyond the bounds of a list.
3. Logical errors stem from flaws in the program's logic, like using an incorrect formula.
Exception handling allows programmers to anticipate and handle errors gracefully. The try/except blocks allow specific code to handle exceptions of a given type. Finally blocks ensure code is executed after the try/except blocks complete.
Exception Handling In Python | Exceptions In Python | Python Programming Tuto...Edureka!
Ā
** Python Certification Training: https://www.edureka.co/python-programming-certification-training **
This Edureka PPT on Exception Handling Tutorial covers all the important aspects of making use and working with Exceptions using Python. It establishes all of the concepts like explaining why we need exception handling, the process of exception handling and how to go about using it practically.
Agenda
Why need Exception Handling?
What is Exception Handling?
Process of Exception Handling
Coding with Python
Try and Except block in Python
The else clause
The finally clause
Summary
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Instagram: https://www.instagram.com/edureka_lea...
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Types of Statements in Python Programming LanguageExplore Skilled
Ā
The slide describes the types of flow control statements in Python including conditional statement , loop statement , control statement such as break and continue .
Abstract classes are classes that contain one or more abstract methods. An abstract method is a method that is declared, but contains no implementation. Abstract classes may not be instantiated, and require subclasses to provide implementations for the abstract methods. Subclasses of an abstract class in Python are not required to implement abstract methods of the parent class.
Exception Handling In Python | Exceptions In Python | Python Programming Tuto...Edureka!
Ā
** Python Certification Training: https://www.edureka.co/python-programming-certification-training **
This Edureka PPT on Exception Handling Tutorial covers all the important aspects of making use and working with Exceptions using Python. It establishes all of the concepts like explaining why we need exception handling, the process of exception handling and how to go about using it practically.
Agenda
Why need Exception Handling?
What is Exception Handling?
Process of Exception Handling
Coding with Python
Try and Except block in Python
The else clause
The finally clause
Summary
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Instagram: https://www.instagram.com/edureka_lea...
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Types of Statements in Python Programming LanguageExplore Skilled
Ā
The slide describes the types of flow control statements in Python including conditional statement , loop statement , control statement such as break and continue .
Abstract classes are classes that contain one or more abstract methods. An abstract method is a method that is declared, but contains no implementation. Abstract classes may not be instantiated, and require subclasses to provide implementations for the abstract methods. Subclasses of an abstract class in Python are not required to implement abstract methods of the parent class.
Regular expressions are used to identify whether a pattern exists in a given sequence of characters (string) or not. They help in manipulating textual data, which is often a pre-requisite for data science projects that involve text mining. You must have come across some application of regular expressions: they are used at the server side to validate the format of email addresses or password during registration, used for parsing text data files to find, replace or delete certain string, etc.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
Regular expressions are used to identify whether a pattern exists in a given sequence of characters (string) or not. They help in manipulating textual data, which is often a pre-requisite for data science projects that involve text mining. You must have come across some application of regular expressions: they are used at the server side to validate the format of email addresses or password during registration, used for parsing text data files to find, replace or delete certain string, etc.
A function is a set of statements that take inputs, do some specific computation and produces output. The idea is to put some commonly or repeatedly done task together and make a function, so that instead of writing the same code again and again for different inputs, we can call the function.
Python provides built-in functions like print(), etc. but we can also create your own functions. These functions are called user-defined functions.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
This is the Complete course of C Programming Language for Beginners. All Topics of C programming Language are covered in this single power point presentation.
Visit: www.cyberlabzone.com
Introduction to Python 01-08-2023.pon by everyone else. . Hence, they must be...DRVaibhavmeshram1
Ā
Python
Language
is uesd in engineeringStory adapted from Stephen Covey (2004) āThe Seven Habits of Highly Effective Peopleā Simon & Schuster).
āManagement is doing things right, leadership is doing the right thingsā
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) āThe Seven Habits of Highly Effective Peopleā Simon & Schuster).
āManagement is doing things right, leadership is doing the right thingsā
(Warren Bennis and Peter Drucker)
Story adapted from Stephen Covey (2004) āThe Seven Habits of Highly Effective Peopleā Simon & Schuster).
āManagement is doing things right, leadership is doing the right thingsā
(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 wonāt 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 wonāt 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 wonāt 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
* What are Embedded Systems?
* C for Embedded Systems vs. Embedded C.
* Code Compilation process.
* Error types.
* Code Compilation using command line.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Ā
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Ā
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
Ā
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatās changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
Ā
As AI technology is pushing into IT I was wondering myself, as an āinfrastructure container kubernetes guyā, 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 benefitās 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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Ā
Are you looking to streamline your workflows and boost your projectsā efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youāre in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part āEssentials of Automationā series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Hereās what youāll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
Weāll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donāt miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
Ā
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
Ā
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more āmechanicalā approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Ā
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overviewā
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
Ā
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
Ā
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Ā
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Ā
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 thereās more:
In a second workflow supporting the same use case, youāll see:
Your campaign sent to target colleagues for approval
If the āApproveā button is clicked, a Jira/Zendesk ticket is created for the marketing design team
Butāif the āRejectā 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
4. Errors
Compile-Time
What? These are syntactical errors found in the code, due to which program
fails to compile
Example Missing a colon in the statements llike if, while, for, def etc
Program Output
x = 1
if x == 1
print("Colon missing")
py 1.0_compile_time_error.py
File "1.0_compile_time_error.py", line 5
if x == 1
^
SyntaxError: invalid syntax
x = 1
#Indentation Error
if x == 1:
print("Hai")
print("Hello")
py 1.1_compile_time_error.py
File "1.1_compile_time_error.py", line 8
print("Hello")
^
IndentationError: unexpected indent
5. Errors
Runtime - 1
What? When PVM cannot execute the byte code, it flags runtime error
Example Insufficient memory to store something or inability of the PVM to
execute some statement come under runtime errors
Program Output
def combine(a, b):
print(a + b)
#Call the combine function
combine("Hai", 25)
py 2.0_runtime_errors.py
Traceback (most recent call last):
File "2.0_runtime_errors.py", line 7, in <module>
combine("Hai", 25)
File "2.0_runtime_errors.py", line 4, in combine
print(a + b)
TypeError: can only concatenate str (not "int") to str
"""
Conclusion:
1. Compiler will not check the datatypes.
2.Type checking is done by PVM during run-time.
"""
6. Errors
Runtime - 2
What? When PVM cannot execute the byte code, it flags runtime error
Example Insufficient memory to store something or inability of the PVM to
execute some statement come under runtime errors
Program Output
#Accessing the item beyond the array
bounds
lst = ["A", "B", "C"]
print(lst[3])
py 2.1_runtime_errors.py
Traceback (most recent call last):
File "2.1_runtime_errors.py", line 5, in <module>
print(lst[3])
IndexError: list index out of range
7. Errors
Logical-1
What? These errors depicts flaws in the logic of the program
Example Usage of wrong formulas
Program Output
def increment(sal):
sal = sal * 15 / 100
return sal
#Call the increment()
sal = increment(5000.00)
print("New Salary: %.2f" % sal)
py 3.0_logical_errors.py
New Salary: 750.00
8. Errors
Logical-2
What? These errors depicts flaws in the logic of the program
Example Usage of wrong formulas
Program Output
#1. Open the file
f = open("myfile", "w")
#Accept a, b, store the result of a/b into the file
a, b = [int(x) for x in input("Enter two number: ").split()]
c = a / b
#Write the result into the file
f.write("Writing %d into myfile" % c)
#Close the file
f.close()
print("File closed")
py 4_effect_of_exception.py
Enter two number: 10 0
Traceback (most recent call last):
File "4_effect_of_exception.py", line 8, in
<module>
c = a / b
ZeroDivisionError: division by zero
9. Errors
Common
ļ¬
When there is an error in a program, due to its sudden termination, the following things
can be suspected
ļ¬
The important data in the files or databases used in the program may be lost
ļ¬
The software may be corrupted
ļ¬
The program abruptly terminates giving error message to the user making the user
losing trust in the software
10. Exceptions
Introduction
ļ¬
An exception is a runtime error which can be handled by the programmer
ļ¬
The programmer can guess an error and he can do something to eliminate the harm caused by
that error called an āExceptionā
BaseException
Exception
StandardError Warning
ArthmeticError
AssertionError
SyntaxError
TypeError
EOFError
RuntimeError
ImportError
NameError
DeprecationWarning
RuntimeWarning
ImportantWarning
11. Exceptions
Exception Handling
ļ¬
The purpose of handling errors is to make program robust
Step-1 try:
statements
#To handle the ZeroDivisionError Exception
try:
f = open("myfile", "w")
a, b = [int(x) for x in input("Enter two numbers: ").split()]
c = a / b
f.write("Writing %d into myfile" % c)
Step-2 except exeptionname:
statements
except ZeroDivisionError:
print("Divide by Zero Error")
print("Don't enter zero as input")
Step-3 finally:
statements
finally:
f.close()
print("Myfile closed")
12. Exceptions
Program
#To handle the ZeroDivisionError Exception
#An Exception handling Example
try:
f = open("myfile", "w")
a, b = [int(x) for x in input("Enter two numbers: ").split()]
c = a / b
f.write("Writing %d into myfile" % c)
except ZeroDivisionError:
print("Divide by Zero Error")
print("Don't enter zero as input")
finally:
f.close()
print("Myfile closed")
Output:
py 5_exception_handling.py
Enter two numbers: 10 0
Divide by Zero Error
Don't enter zero as input
Myfile closed
14. Exceptions
Exception Handling: Noteworthy
- A single try block can contain several except blocks.
- Multiple except blocks can be used to handle multiple exceptions.
- We cannot have except block without the try block.
- We can write try block without any except block.
- Else and finally are not compulsory.
- When there is no exception, else block is executed after the try block.
- Finally block is always executed.
15. Exceptions
Types: Program-1
#To handle the syntax error given by eval() function
#Example for Synatx error
try:
date = eval(input("Enter the date: "))
except SyntaxError:
print("Invalid Date")
else:
print("You entered: ", date)
Output:
Run-1:
Enter the date: 5, 12, 2018
You entered: (5, 12, 2018)
Run-2:
Enter the date: 5d, 12m, 2018y
Invalid Date
16. Exceptions
Types: Program-2
#To handle the IOError by open() function
#Example for IOError
try:
name = input("Enter the filename: ")
f = open(name, "r")
except IOError:
print("File not found: ", name)
else:
n = len(f.readlines())
print(name, "has", n, "Lines")
f.close()
If the entered file is not exists, it will raise an IOError
17. Exceptions
Types: Program-3
#Example for two exceptions
#A function to find the total and average of list elements
def avg(list):
tot = 0
for x in list:
tot += x
avg = tot / len(list)
return tot.avg
#Call avg() and pass the list
try:
t, a = avg([1, 2, 3, 4, 5, 'a'])
#t, a = avg([]) #Will give ZeroDivisionError
print("Total = {}, Average = {}". format(t, a))
except TypeError:
print("Type Error: Pls provide the numbers")
except ZeroDivisionError:
print("ZeroDivisionError, Pls do not give empty list")
Output:
Run-1:
Type Error: Pls provide the numbers
Run-2:
ZeroDivisionError, Pls do not give empty list
19. Exceptions
Types: Program-3A
#Example for two exceptions
#A function to find the total and average of list elements
def avg(list):
tot = 0
for x in list:
tot += x
avg = tot / len(list)
return tot.avg
#Call avg() and pass the list
try:
t, a = avg([1, 2, 3, 4, 5, 'a'])
#t, a = avg([]) #Will give ZeroDivisionError
print("Total = {}, Average = {}". format(t, a))
except (TypeError, ZeroDivisionError):
print("Type Error / ZeroDivisionErrorā)
Output:
Run-1:
Type Error / ZeroDivisionError
Run-2:
Type Error / ZeroDivisionError
20. Exceptions
The assert Statement
ļ¬
It is useful to ensure that a given condition is True, It is not True, it raises
AssertionError.
ļ¬
Syntax:
assert condition, message
21. Exceptions
The assert Statement: Programs
Program - 1 Program - 2
#Handling AssertionError
try:
x = int(input("Enter the number between 5 and 10: "))
assert x >= 5 and x <= 10
print("The number entered: ", x)
except AssertionError:
print("The condition is not fulfilled")
#Handling AssertionError
try:
x = int(input("Enter the number between 5 and 10: "))
assert x >= 5 and x <= 10, "Your input is INVALID"
print("The number entered: ", x)
except AssertionError as Obj:
print(Obj)
23. Exceptions
User-Defined Exceptions: Program
#To create our own exceptions and raise it when needed
class MyException(Exception):
def __init__(self, arg):
self.msg = arg
def check(dict):
for k, v in dict.items():
print("Name = {:15s} Balance = {:10.2f}" . format(k, v)) if (v < 2000.00):
raise MyException("Less Bal Amount" + k)
bank = {"Raj": 5000.00, "Vani": 8900.50, "Ajay": 1990.00}
try:
check(bank)
except MyException as me:
print(me)