Quick introduction to coding using Python.. Covers data types, data structures, variables, assignment, selection, iteration, classes, objects and subclasses.
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In this talk you will learn about:
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* The type classes in Scala
* And the common functional abstractions: semigroup, monoid, functor and monad
The challenge that the newcomers who were writing imperative code and want to start using Scala is: to change the way of thinking and reasoning about the code in a Functional way, in this talk I will go through the details and explain functional programming paradigm and how to work with type classes in Scala.
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This document provides an overview of Python basics including statements, expressions, loops, strings, functions, and more. It discusses what a program is and how it runs. It explains how to get input from the user, import modules like math, use assignment statements, and print output. It also covers syntax, side effects vs returns, whitespace, operators, loops, range function, strings, indexes, basic string operations, len function, and functions. The document is from a Python training institute in Bangalore and is intended to teach Python fundamentals.
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This document provides an overview and introduction to LINQ (Language Integrated Query). It discusses key LINQ concepts like LINQ to SQL, LINQ providers, extension methods, lambda expressions, and expression trees. It explains that LINQ allows querying over various data sources using a consistent SQL-like syntax. The document also previews upcoming sections on LINQ usage, performance, advanced topics, and references additional learning resources.
This lecture covers functions and modules in Python. It discusses built-in functions, writing user-defined functions, function parameters and return values, and scope. It also discusses modules as a way to organize Python code and introduces some of Python's standard library modules like math and random. The key points are:
1) Functions allow for code reuse and abstraction by encapsulating repeatable processes. Built-in functions perform common tasks while user-defined functions can be created for custom tasks.
2) Functions are defined using def and have parameters to pass in inputs and return values to produce outputs. Variables inside functions have local scope while global variables can be accessed everywhere.
3) Modules help structure Python programs and provide
This document discusses Python functions, including built-in functions, defining custom functions, parameters, arguments, return values, and more. Some key points:
- Functions allow storing and reusing code through definition and invocation.
- Built-in functions like print() come with Python, while custom functions are defined using def and def keywords.
- Parameters receive arguments passed to functions, and allow code within a function to access values from a particular call.
- Functions can return values using the return statement. Functions that produce results are called "fruitful," while those that don't are "void."
- Functions help organize code into logical, reusable blocks and avoid repetition. They can also break complex
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It lists the 49 keywords used in Ring such as class, def, else, func, if, new, etc. It also lists 199 language functions organized alphabetically from add() to ring_state_setvar().
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The document serves as a reference for the core components of the Ring language specification including the syntax rules
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Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
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** Python Certification Training: https://www.edureka.co/python **
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Agenda
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Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
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This document discusses Python functions, including built-in functions, defining custom functions, parameters, arguments, return values, and more. Some key points:
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- Built-in functions like print() come with Python, while custom functions are defined using def and def keywords.
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This document provides an introduction to Java programming through a series of Java 101 tutorials. It discusses setting up a Java development environment, provides an overview of the Java language, and demonstrates how to write a first Java program. It also covers built-in Java data types like String, int, double, and boolean, and control structures like conditionals and loops. The document concludes with exercises for readers to practice working with command line arguments, operators, arrays, and random number generation in Java.
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This document provides an overview of Python for data science, including introductions to key Python concepts like datatypes, printing statements, operators, loops, and functions. It begins with an introduction to Python and why it is commonly used for web development, software development, mathematics, and system scripting. It then covers basic Python datatypes, how to print text, arithmetic and other operators, the different types of loops (while, do-while, for), and how to define and call functions. The document is presented by a student as part of a practical training on Python for data science.
This document provides an overview of Python for data science, including introductions to key Python concepts like datatypes, printing statements, operators, loops, and functions. It begins with an introduction to Python and why it is commonly used for web development, software development, mathematics, and system scripting. It then covers basic Python datatypes, how to print text, arithmetic and other operators, the main loop structures like while, do-while, and for loops, and how to define and call functions. The document is presented by a student as part of a practical training on Python for data science.
This document provides an overview of Python for data science, including introductions to key Python concepts like datatypes, printing statements, operators, loops, and functions. It begins with an introduction to Python and why it is commonly used for web development, software development, mathematics, and system scripting. It then covers basic Python datatypes, how to print text, arithmetic and other operators, the main loop structures like while, do-while, and for loops, and how to define and call functions. The document is presented by a student as part of a practical training on Python for data science.
This is an adaptation of the presentation given at the SpringOne 2008 conference in Hollywood, FL. It contains some updates on project status, and also information about the recently published book "Spring Python 1.1"
This slideshow is licensed under a Creative Commons Attribution 3.0 United States License.
This document discusses C++ functions. It defines a function as a group of statements that is given a name and can be called from within a program. The structure of a C++ function includes a header and body. The header specifies the return type, name, and parameters, while the body contains the code. Functions can use value, reference, and constant reference parameters. Variables within a function can be local or global. Standard library functions are pre-defined in headers like <iostream> and <math.h>. The document provides examples of defining, calling, and using different types of functions and parameters in C++.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
Â
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
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In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
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Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind fĂŒr viele in der HCL-Community seit letztem Jahr ein heiĂes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und LizenzgebĂŒhren zu kĂ€mpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklĂ€ren Ihnen, wie Sie hĂ€ufige Konfigurationsprobleme lösen können, die dazu fĂŒhren können, dass mehr Benutzer gezĂ€hlt werden als nötig, und wie Sie ĂŒberflĂŒssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige AnsĂ€tze, die zu unnötigen Ausgaben fĂŒhren können, z. B. wenn ein Personendokument anstelle eines Mail-Ins fĂŒr geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche FĂ€lle und deren Lösungen. Und natĂŒrlich erklĂ€ren wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt nĂ€herbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Ăberblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und ĂŒberflĂŒssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps fĂŒr hĂ€ufige Problembereiche, wie z. B. Team-PostfĂ€cher, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
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Introduction to coding using Python
1. PYN101 â Quick Introduction to Coding Using
Python
www.ocdatabases.com
slides.1@ocdatabases.com
949-489-1472
2. Quick Introduction to coding using Python
âą If you have not done so already please fill out your student
questionnaire online as shown or submit them to your
instructor
âą Enjoy programming in Python!
3. PYN101 Quick Introduction to Coding using
Python
âą Introduction (s)
âą Facilities
âą Course Packet (May vary by course and class)
â Student Questionnaire
â Collaterals (Maps, Catalog, Etc.)
â PowerPoint slide deck
â Evaluation form
â Training certificate
5. Quick Introduction to Coding Using Python
I. Introduction to Programming
II. Creating Simple Programs
III. Creating Programs Using Functions
IV. Implementing the Object-Oriented Methodology
V. Handling Programming Errors
6. I. Introduction to Programming
ï± History
ï± Programming Environments
ï± Overview of Programming
ï± Introduction to the Software Development Life Cycle
9. Program
salary1=1000
salary2=2000
sum=salary1 + salary2
print("The sum of two salaries is: {}".format(sum))
isSal2Larger = salary1 > salary2
print("Salary2 is larger than salary 1: {}".format(isSal2Larger))
serviceYears1 = 10
serviceYears2 = 5
isYears2Longer = serviceYears2 > serviceYears1
print("Salary2 is larger than salary 1 because their years of
service is longer: {} ".
format(isSal2Larger and isYears2Longer))
Program Interpreter Results
Program written in
scripting language
Program written in
scripting language
Program displays
results
Program displays
results
Instructions
(statements) written
in Python
Instructions
(statements) written
in Python
10. Syntax
Keyword used to
create a class
Keyword used to
create a class
Punctuation used to create a
Statement block
Punctuation used to create a
Statement blockclass EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Statements indented
inside block
Statements indented
inside block
11. The Programming Life Cycle
Coding
Executing
Debugging
Program containing
an error
Program containing
an error
Instructions written in
a scripting language
Instructions written in
a scripting language
Internal BytecodeInternal BytecodeSource codeSource code
12. The Python Platform Process
Edit
Verify
Load
Interpret
Phases in the Python
platform process
Phases in the Python
platform process
13. The Software Development Life Cycle
Maintenance
Testing
Analysis
Software Development
Life Cycle
Implementation Development
Design
14. Reflective Questions
1. Which programming methodologies do you suggest for your
organization?
2. Will you follow the SDLC approach to developing software in your
company? Why?
15. II. Creating Simple Programs
ï± Work with Variables
ï± Work with Operators
ï± Control Program Execution
ï± Work with Lists
16. Variables
salary = 1750
if salary > 2500:
print ("Salary is greater than 2500")
else:
print ("Salary is less than 2500")
Variable NameVariable Name
Value stored
in the variable
Value stored
in the variable
17. Operators
salary1=1000
salary2=2000
sum=salary1 + salary2
print ("The sum of the two salaries is %6.2f" % sum)
Expression used to
calculate the sum of
salaries. The result
always on the left.
Expression used to
calculate the sum of
salaries. The result
always on the left.
OperandOperand
Data used in the
expression
Data used in the
expression
The addition operatorThe addition operator
18. The if Statement
salary = 1750
if salary > 2500:
print("nSalary is greater than 2500")
salary = salary + (0.03 * salary)
Keyword used to
create an if
conditional statement
Keyword used to
create an if
conditional statement
Action StatementAction Statement
Test conditionTest condition
19. The if...else Statement
salary = 1750
if salary > 2500:
print("nSalary is greater than 2500")
salary = salary + (0.03 * salary)
else:
print("nSalary is less than 2500")
salary = salary + (0.05 * salary)
print("Adjusted salary: {}".format(salary))
Test conditionTest condition
Keyword used to
create if block
Keyword used to
create if block
Keyword used to
create else block
Keyword used to
create else block
Statements to execute
when the test
condition returns true
Statements to execute
when the test
condition returns true
Statements to execute
when the test
condition returns false
Statements to execute
when the test
condition returns false
20. The elif Statement
if day == 1:
print ("Monday")
elif day == 2:
print ("Tuesday")
elif day == 3:
print ("Wednesday")
elif day == 4:
print ("Thursday")
elif day == 5:
print ("Friday")
elif day == 6:
print ("Saturday")
elif day == 7:
print ("Sunday")
else:
print ("Invalid day value")
Declared with the
elif keyword
Declared with the
elif keyword
Default statementDefault statement
Repeated elif
statements
Repeated elif
statements
Test conditionTest condition
21. The while Loop
counter = 10
i = 1
#while loop - tests before entering the loop
#make sure the loop variables are initialized
print ("Basic while loop")
while i <= counter:
print("i = {}".format(i))
i = i + 1
Statements to execute
when the test condition
returns true
Statements to execute
when the test condition
returns true
Declared with the
while keyword
Declared with the
while keyword
Test conditionTest condition
Note: there is no do âŠwhile ⊠in Python
22. The for Loop
sum = 0
counter = 15
for i in range(1,counter+1):
sum = sum + i;
print("i = {}".format(sum))
Statement(s) executed
while variable within
sequence range
Statement(s) executed
while variable within
sequence range
Iterating variable declarationIterating variable declaration sequence
expression
sequence
expression
Declared with the
for keyword
Declared with the
for keyword
23. Lists
marks = [85, 60, 78, 73, 84]
1 2 30
6085 78 73 84
4
List elementsList elements
List initializationList initialization
List nameList name
List IndexList Index
Graphical representation
of list
Graphical representation
of list
24. Multidimensional Lists
salary2 =[[12000, 13000,14000], [10000,15000,2000]]
tmpsalary = salary2[1][2]
LIst IndexLIst Index
1300012000 14000
1500010000 20000
0100 02
1110 12
Value stored in
the list element
Value stored in
the list element
Graphical representation
of a two-dimensional list
Graphical representation
of a two-dimensional list
List elementsList elements
LIst nameLIst name
25. Other data structures
âą Tuples
t=(12,15,90)
âą Dictionaries
d={ânameâ:âdanâ, âphoneâ:123-456-7890â}
âą Sets
âą And more
âą We will cover these in our more formal programming classes
âą There are also modules for manipulating datasets and big data
26. Reflective Questions
1. What factors do you consider when you declare a variable?
2. How do arrays help you in your job role?
27. III. Creating Programs Using Functions
ï± Create Functions
ï± Work with Built-in Functions
28. Functions
def calcNetSalary(allowance, sal):
deduction = allowance/100 * sal
print ("The deduction is ${:,.2f}".format(deduction))
netSal = sal - deduction
return netSal
Method bodyMethod body
DeclarationDeclaration
Method nameMethod name ParametersParameters
29. Function Calls
def print_salary():
#initialize variables
salary = 12000.0
print("The current salary is ${:,.2f}".format(salary))
#calculate net salary by calling a function
netSalary = calcNetSalary(5, salary)
print("The net salary is ${:,.2f}".format(netSalary))
#function to calculate the net salary
def calcNetSalary(allowance, sal):
deduction = allowance/100 * sal
print ("The deduction is ${:,.2f}".format(deduction))
netSal = sal - deduction
return netSal
Function callFunction call
Function
declaration
Function
declaration
30. Importing modules
import os
print (os.getcwd())
print (os.listdir('.'))
Import declarationImport declaration
Function callsFunction calls
The Python ecosystem includes a huge library of functions across
many domains. This is one of Pythonâs strong points and is a major
reason for its popularity.
31. Reflective Questions
1. In what ways does importing modules help you in your job role?
Discuss.
2. Why would you prefer built-in functions rather than defining your
own functions? Discuss.
32. IV. Implementing the Object-Oriented
Methodology
ï± Create a Class
ï± Create an Object
ï± Create a Constructor
ï± Create a Subclass
33. Classes
class EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Methods in
the class
Methods in
the class
Class name preceded by
the class keyword
Class name preceded by
the class keyword
Instance
variables
Instance
variables
34. Objects
import employeedetails as ed
#create employee object
empObj = ed.EmployeeDetails()
#get id and name
id=int(input("Please enter employee id: "))
name=input("Please enter employee name: ")
sal=input("PLease enter salary: ")
#calc net salary
empObj.init(id,name,sal)
netSal=empObj.computeNetSal()
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (name, id, netSal))
Object nameObject name
Data stored
in object
empObj
Data stored
in object
empObj
Object used to store
employee data
Object used to store
employee data
data for
employee
data for
employee
Class nameClass name
35. The self Keyword
class EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Class nameClass name
The self keyword
used to access
instance variables
from within a method
The self keyword
used to access
instance variables
from within a method
36. Constructors
class EmployeeDetails2:
#class methods
#constructor (initializer) with defaults
def __init__(self, num=0, name='Unknown', sal=0.0):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Class nameClass name
Code to initialize the
class
Code to initialize the
class
Constructor parametersConstructor parameters
ConstructorConstructor
37. Objects using constructor
import employeedetails2 as ed
#get id and name
id=int(input("Please enter employee id: "))
name=input("Please enter employee name: ")
sal=input("Please enter salary: ")
#create employee object using constructor
empObj = ed.EmployeeDetails2(id,name,sal)
#calc net salary
netSal=empObj.computeNetSal()
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (name, id, netSal))
Data stored
in object
empObj
Data stored
in object
empObj
Object nameObject name
Class nameClass name
Object nameObject name
38. Subclasses
from employeedetails2 import EmployeeDetails2
class ProjectMgr(EmployeeDetails2):
#class methods
#constructor (calls superclass) with defaults
def __init__(self, num=0, name='Unknown',
sal=0.0, sub=0):
super().__init__(num, name, sal)
self.numSubordinates = sub
#override calculate net salary
#replace allowance with bonus
def computeNetSal(self):
return self.salary + self.salary * 0.10
#new method to get nbr of subordinates
def getSubordinates(self):
return self.numSubordinates
Keyword used to
call superclass
Keyword used to
call superclass
SubclassSubclass Parent
(super) class
Parent
(super) class
Default values for
constructor
Default values for
constructor
overidden methodoveridden method
New method
extends
functionality
New method
extends
functionality
39. Instantiate subclass
import projectmgr as pm
#get id and name
id=int(input("Please enter employee id: "))
if id != 0:
name=input("Please enter employee name: ")
sal=input("Please enter salary: ")
subs=int(input("Please enter # subordinates: "))
#create employee object
pmObj = pm.ProjectMgr(id, name, sal, subs)
else:
pmObj = pm.ProjectMgr()
#calc net salary
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (pmObj.getName(), id, pmObj.computeNetSal()))
print ("%s with id %d has a %d subordinates"
% (pmObj.getName(), id, pmObj.getSubordinates()))
Create pm object
with arguments
Create pm object
with arguments
Get values for
constructor
Get values for
constructor
Crate default pm
object
Crate default pm
object
Call methods,;
note getName is in
Call methods,;
note getName is in
40. Reflective Questions
1. Discuss the advantages of using objects in your program.
2. In what ways does method overloading and overriding help you as
you create software in your job role?
41. Quick introduction to coding using Python
âą Please fill out your evaluations online as shown or submit
them to your instructor
âą Enjoy programming in Python!
Editor's Notes
The red arrow points to the training center. The yellow sunburst is the intersection of the Ortega Highway and Interstate 5, the route by which most students will reach the us.
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