This document provides an introduction to learning Python. It discusses prerequisites for Python, basic Python concepts like variables, data types, operators, conditionals and loops. It also covers functions, files, classes and exceptions handling in Python. The document demonstrates these concepts through examples and exercises learners to practice char frequency counting and Caesar cipher encoding/decoding in Python. It encourages learners to practice more to master the language and provides additional learning resources.
( Python Training: https://www.edureka.co/python )
This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This tutorial helps you to learn the following topics:
1. What is Numpy?
2. Numpy v/s Lists
3. Numpy Operations
4. Numpy Special Functions
( Python Training: https://www.edureka.co/python )
This Edureka Python Numpy tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
This tutorial helps you to learn the following topics:
1. What is Numpy?
2. Numpy v/s Lists
3. Numpy Operations
4. Numpy Special Functions
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
Examples
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Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
Basics of Iterators and Generators,Uses of iterators and generators in python. advantage of iterators and generators. difference between generators and iterators.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my company's internal Python course.
Quick introduction to Python for Pace University undergraduate students. Includes an intro to Jupyter Notebook, the Python libraries scikit-learn and pandas.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
YouTube Link: https://youtu.be/mHezNgNBnuA
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Date and Time in Python' will train you to use the datetime and time modules to fetch, set and modify date and time in python.
Below are the topics covered in this PPT:
The time module
Built-in functions
Examples
The datetime module
Built-in functions
Examples
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
Basics of Iterators and Generators,Uses of iterators and generators in python. advantage of iterators and generators. difference between generators and iterators.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my company's internal Python course.
Quick introduction to Python for Pace University undergraduate students. Includes an intro to Jupyter Notebook, the Python libraries scikit-learn and pandas.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
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
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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
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.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
2. Resources
• Learn Python The Hard Way, 2nd Edition
– http://bit.ly/python-lug (Free online)
– Paperback book costs $15.99
– http://learncodethehardway.org
• Google python class:
– http://code.google.com/edu/languages/google-
python-class/
• MIT Open courseware:
– http://academicearth.org/courses/introduction-to-
computer-science-and-programming
3. It’s Easy.
5 most important things:
– Do Not Copy-Paste
– Code
– Practice
– Practice
– Practice
4. Prerequisites
Python v2.5 +
python
Any text editor.
gEdit (Linux)
TextMate (OSX)
Settings
Tabs Width: 4
Insert spaces instead of tabs
Your Mind.
5. TODO: today
Total of 52 chapters
We will cover: 1-22, 28-35, 39-42
Basic constructs, data structures, OOP
Solve two simple python problems.
Homework: Another problem. What did you think?
7. But first……..Pip, pep8, iPython
• pip install simplejson
– For python packages in Python package index
• pep8 script.py
– Python style guide. Your best friend
• Python Easter egg
– import this
• Ipython
• Open pydocs :
docs.python.org/library/index.html
8. comments
Single line comments only
'#' (an octothorpe) notifies beginning
Ends with a newline
9. Printing statements
print is builtin function
Usage: print ”Hello, world!”
Appends a newline automatically
To avoid new line, use a comma (,)
Usage: print ”Hello”,
print ”roopesh”
10. Basic math
* / % + - < > <= >=
Same as C operator precedence
/ does a integer division
Example:
print "Hens", 25 + 30 / 6
print 3 + 2 + 1 - 5 + 4 % 2 - 1 / 4 + 6
print "What is 5 - 7?", 5 – 7
print "Is it greater or equal?", 5 >= -2
11. More operators
• Basic ones: + - * / %
• Try:
– x // y
– abs(x)
– int(x), long(x), float(x)
– complex(re, im)
– c.conjugate()
– pow(x, y) or x ** y
12. variables
No need of types
Duck typing
cars = 100
space_in_car = 4.0
result = cars + space_in_car
cars_not_driven = cars
Can assign one var to another
Tip: type(cars)
13. Variables and printing
Can use placeholders in print statements
print ”let's talk about %s” % my_name
print "There are %d types of people." % 10
print "Those who know %s and those who %s." %
(binary, do_not)
Also can use names for placeholders
print ”my name is %(name)s” % {'name':
my_name}
14. Text (String)
There are 3 types of notation
Single quotes, double quotes, multiline text
Multiline text stores the text, whitespaces and escape
characters as well
val = ’hello world’
val = ”hello again!”
val = ”Hello n
World
!!”
val = ”””no need to ’escape’ anything – ”ok?” ”””
Interesting functions:
upper(), lower(), title(), swapcase(),strip()
15. Booleans
True and False
Can use in print with placeholders as well
Anything that has a value is true, anything like
0, zero length string, zero length list or dictionary
is false
val = ’Hi my friend’
if val:
print ”yo!”
If ’Hi’ in val:
print ’this keeps getting better!’
16. Input
There are two functions: input(), raw_input()
raw_input() contains string and input() could
contain object
first = raw_input("Please enter your age ")
second = input("Please enter your age again")
print "You said you are", first
print "Then you said you are", second
Try again, pass 40+2 in second
17. Working with python prog files
Any arguments passed to python prog files is
stored in argv
Zero based arguments, first one is always
script name
import sys
print sys.argv[0]
print sys.argv[1]
Run: python file.py 4
18. Working with files
open(filename, mode) : returns file handle
read() : to read the whole file
readline() and readlines(): to read each line
write(data) : writes to file
close() : to close the file handle
from sys import argv
script, filename = argv
txt = open(filename, 'r+') #r or w
print "Here's your script %r:" % script
print "Here's your file %r:" % filename
print txt.read()
txt.write('42')
txt.close()
19. functions
def keyword to declare a function
Arguments don't need function type
Can skip return value
No return implies it returns a None value
Always do: x is None and not, x == None
None is similar to null
To take unlimited number of arguments: use *arg
as argument, it is packing method for arguments
21. Logics
and, or, not, ==, !=, >, >=, <, <=
and returns last value which makes the
statement true
or returns first value which makes the
statement false
Both are short-circuit operator
test = True
result = test and 'Test is True' or 'Test is False'
23. Lists and loops
Lists: [1, 2, 3]
append(elem), extend(list), insert(idx, elem), rem
ove(x), pop(i), count(i), sort(), reverse(),len(l)
Tuples: (1, 2, 3)
Difference:
lists are mutable,
tuples are immutable
Ideally lists should have same data types
24. Lists and loops
for element in list:
print element
for i in range(i):
print i
for i, val in enumerate(list):
print i, val
sorted_list = sorted(list)
sort(list)
List comprehensions for ease of use (later..)
25. Lists and loops
Lists from strings:
a = ”A B C D E F”.split()
#['A', 'B', 'C', 'D', 'E', 'F’]
a.pop()
' '.join(a) #joins lists to form a string
List slicing: list[start:end]
a[0:len(a)]
a[:4]
a[3:]
a[-1]
26. Dictionaries
{'name': 'Roopesh’, ’age’ : 42}
Key-value pairs / lookup table
Can be accessed with a['name']
Can add new values with same syntax
a['city'] = 'San Jose'
Can remove an item with 'del'
del a['city']
Add a bunch using: dict.update(another_dict)
27. Classes and Objects
Class keyword, inherits from object
Constructor: def __init__
All methods take first arg as the instance of
class
Denoted with word 'self'
Any number of args have to follow self
def func(self, val)
28. Classes and Objects
Instantiating classes with ClassName() syntax
There is no 'new' keyword
Some examples in code given.
To override operators, override functions like
__eq__, __lt__, __gt__, __lte__ etc
29. Class example
class MyClass:
answer = 42
def a_method(self):
print “I am a method”
instance = MyClass ()
instance.a_method()
hasattr(MyClass, “answer”)
30. List comprehensions (bonus)
[each for each in range(100) if each % 2 == 0]
[some_func(each) for each in range(100)]
iter(list) produces a list iterator
Gives ability to get next item with
iterator.next()
When iterator gets exhausted, it produces
StopIteration exception
31. Handling Exceptions
Try:
… do some handling
except Error as e:
print e
finally:
… do some final clean up
32. Problem 1
Write a function char_freq() that takes a string
and builds a frequency listing of the characters
contained in it. Represent the frequency listing
as a Python dictionary.
Try it with something like
char_freq("abbabcbdbabdbdbabababcbcbab”)
33. Problem 2
In cryptography, a Caesar cipher is a very simple encryption techniques in which each
letter in the plain text is replaced by a letter some fixed number of positions down the
alphabet. For example, with a shift of 3, A would be replaced by D, B would become
E, and so on. The method is named after Julius Caesar, who used it to communicate
with his generals. ROT-13 ("rotate by 13 places") is a widely used example of a Caesar
cipher where the shift is 13. In Python, the key for ROT-13 may be represented by
means of the following dictionary:
key =
{'a':'n', 'b':'o', 'c':'p', 'd':'q', 'e':'r', 'f':'s', 'g':'t', 'h':'u', 'i':'v', 'j':'w', 'k':'x', 'l':'y', 'm':'z', 'n':'
a', 'o':'b', 'p':'c', 'q':'d', 'r':'e', 's':'f', 't':'g', 'u':'h', 'v':'i', 'w':'j', 'x':'k', 'y':'l', 'z':'m', 'A':'N', '
B':'O', 'C':'P', 'D':'Q', 'E':'R', 'F':'S', 'G':'T', 'H':'U', 'I':'V', 'J':'W', 'K':'X', 'L':'Y', 'M':'Z', 'N':'A'
, 'O':'B', 'P':'C', 'Q':'D', 'R':'E', 'S':'F', 'T':'G', 'U':'H', 'V':'I', 'W':'J', 'X':'K', 'Y':'L', 'Z':'M'}
Your task in this exercise is to implement an encoder/decoder of ROT-13. Once you're
done, you will be able to read the following secret message:
Pnrfne pvcure? V zhpu cersre Pnrfne fnynq!
35. Want more?
• Go here:
– 15 Exercises to Know A Programming Language:
Part 1
– http://www.knowing.net/index.php/2006/06/16/
15-exercises-to-know-a-programming-language-
part-1
36. A lot more…
List comprehensions, decorators, lambda
functions, effective unit tests, network and web
programming,
Some popular modules like
urlib, simplejson, ElementTree and lxml for xml
parsing, SQLAlchemy, sciPy, NumPy, mechanize
37. At the end……
“I'll say that learning to create software changes
you and makes you different. Not better or
worse, just different.”
“The world needs more weird people who know
how things work and who love to figure it all out.”
~ Zed Shaw
Source: http://learnpythonthehardway.org/book/advice.html