The document discusses the Python programming language. It describes Python as a popular programming language created by Guido van Rossum in 1991. It is commonly used for web development, software development, mathematics, and system scripting. The document then provides further details on Python syntax, including how Python uses indentation to define scope rather than curly brackets, and how it supports variables, data types, comments, and global versus local variables. It also encourages practicing Python through examples in the command line and .py files.
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
Objectives:
• Understand what is movie maker
• Understand what is the benefit of using movie maker
• Understand the interface components of Movie Maker
Installing Anaconda Distribution of PythonJatin Miglani
This document is useful when use with Video session I have recorded today with execution, This is document no. 1 of course "Introduction of Data Science using Python". Which is a prerequisite of Artificial Intelligence course at Ethans Tech.
Disclaimer: Some of the Images and content have been taken from Multiple online sources and this presentation is intended only for Knowledge Sharing
Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.
It is used for:
- web development (server-side),
- software development,
- mathematics,
- system scripting.
What can Python do?
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
- Why Python?
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way.
- what we learn:
1- Python Install.
2- Python Comments.
3- Python Variables.
4- Python Data Types.
5- Python Numbers.
Objectives:
• Understand what is movie maker
• Understand what is the benefit of using movie maker
• Understand the interface components of Movie Maker
Installing Anaconda Distribution of PythonJatin Miglani
This document is useful when use with Video session I have recorded today with execution, This is document no. 1 of course "Introduction of Data Science using Python". Which is a prerequisite of Artificial Intelligence course at Ethans Tech.
Disclaimer: Some of the Images and content have been taken from Multiple online sources and this presentation is intended only for Knowledge Sharing
Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.
It is used for:
- web development (server-side),
- software development,
- mathematics,
- system scripting.
What can Python do?
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
- Why Python?
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way.
- what we learn:
1- Python Install.
2- Python Comments.
3- Python Variables.
4- Python Data Types.
5- Python Numbers.
INTRODUCTION TO PYTHON
Python is an interpreted, object-oriented, high-level programming language
Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance.
A standard distribution includes many modules
Dynamic typed Source can be compiled or run just-in-time Similar to perl, tcl, ruby
Why Python
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way
Python Interfaces
IDLE : a cross-platform Python development
Python Win: a Windows only interface to Python
Python Shell running 'python' from the Command Line opens this interactive shell
IDLE — Development Environment
IDLE helps you program in Python by
color-coding your program code
debugging ' auto-indent ‘
interactive shell Python Shell
Auto indent
Example python
Print (“Hello World”)
output:
Hello World
Python Indentation
Indentation refers to the spaces at the beginning of a code line.
Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important.
Python uses indentation to indicate a block of code.
Example:
if 5 > 2: print("Five is greater than two!")
Python Comments
Comments can be used to explain Python code.
Comments can be used to make the code more readable.
Comments can be used to prevent execution when testing code
Example
#This is a comment print("Hello, World!")
Python Variables
Variables are containers for storing data values
Python has no command for declaring a variable.
A variable is created the moment you first assign a value to it
Example
x = 5 y = "John" print(x) print(y)
Python - Variable Names
A variable can have a short name (like x and y) or a more descriptive name (age, carname, total_volume). Rules for Python variables:
A variable name must start with a letter or the underscore character
A variable name cannot start with a number
A variable name can only contain alpha-numeric characters and underscores (A-z, 0-9, and _ )
Variable names are case-sensitive (age, Age and AGE are three different variables)
Example
Legal variable names:
myvar = "John" my_var = "John" _my_var = "John" myVar = "John" MYVAR = "John" myvar2 = "John
Python Variables - Assign Multiple Values
Python allows you to assign values to multiple variables in one line:
Example
x, y, z = "Orange", "Banana", "Cherry" print(x) print(y) print(z)
Python - Output Variables
Python output variable function are print()
Example
x = "Python is awesome" print(x)
Python - Global Variables
Variables that are created outside of a function (as in all
python programming language Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. INTRODUCTION
HISTORY
USES OF PYTHON
FEATURES OF PYTHON
PYTHON PROJECT FOR BEGINNERS
PYTHON PROGRAM
KEY CHANGES IN PYTHON
BASIC SYNTAX
VARIABLE
NUMBERS
STANDARD TYPE HIERARCHY
STRING
CONDITIONALS
FOR LOOP
FUNCTION
KEYWORDS
WHY PYTHON ?
DIFFERENTIATE
EXAMPLES
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2. What is Python
Python is a popular programming language. It was
created by Guido van Rossum, and released in 1991. It is
used for:
• web development (server-side),
• software development,
• mathematics,
• system scripting.
3. What can Python do
• Python can be used on a server to create web
applications.
• Python can be used alongside software to create
workflows.
• Python can connect to database systems. It can also
read and modify files.
• Python can be used to handle big data and perform
complex mathematics.
• Python can be used for rapid prototyping, or for
production-ready software development.
4. Why Python
• Python works on different platforms (Windows, Mac, Linux,
Raspberry Pi, etc).
• Python has a simple syntax similar to the English language.
• Python has syntax that allows developers to write programs
with fewer lines than some other programming languages.
• Python runs on an interpreter system, meaning that code
can be executed as soon as it is written. This means that
prototyping can be very quick.
• Python can be treated in a procedural way, an object-
oriented way or a functional way.
5. Python Syntax compared to other
programming languages
• Python was designed for readability, and has some
similarities to the English language with influence from
mathematics.
• Python uses new lines to complete a command, as
opposed to other programming languages which often
use semicolons or parentheses.
• Python relies on indentation, using whitespace, to
define scope; such as the scope of loops, functions and
classes. Other programming languages often use curly-
brackets for this purpose.
6. Python Syntax
• Python is an interpreted programming language, this
means that as a developer you write Python (.py) files in
a text editor and then put those files into the python
interpreter to be executed
• Python syntax can be executed by writing directly in the
Command Line
• Or by creating a python file on the server, using the .py
file extension, and running it in the Command Line
8. Identation
• Indentation refers to the spaces at the beginning of a
code line.
• Where in other programming languages the indentation
in code is for readability only, the indentation in Python
is very important.
• Python uses indentation to indicate a block of code and
will error if you skip the indentation
10. Comments
• Comments can be used to explain Python code.
• Comments can be used to make the code more
readable.
• Comments can be used to prevent execution when
testing code.
• Comments starts with a #, and Python will ignore them
• Comments can be placed at the end of a line, and
Python will ignore the rest of the line
• A comment does not have to be text that explains the
code, it can also be used to prevent Python from
executing code
12. Variables
A variable can have a short name (like x and y) or a more
descriptive name (age, carname, total_volume). Rules for
Python variables: A variable name must start with a letter
or the underscore character
• A variable name cannot start with a number
• A variable name can only contain alpha-numeric
characters and underscores (A-z, 0-9, and _ )
• Variable names are case-sensitive (age, Age and AGE
are three different variables)
14. Variables (Assign Multiple Values)
• Python allows you to assign values to multiple variables
in one line
• Python can assign the same value to multiple variables
in one line
• If you have a collection of values in a list, tuple etc.
Python allows you to extract the values into variables.
This is called unpacking
15. Multiple value
assign values to multiple variables
in one line
same value to multiple variables
in one line
Unpack a Collection
16. Global and Local Variables
• Variables that are created outside of a function (as in all
of the examples above) are known as global variables.
• Global variables can be used by everyone, both inside
of functions and outside.
• Variable created with the same name inside a function,
this variable will be local, and can only be used inside
the function.
• The global variable with the same name will remain as it
was, global and with the original value.
17. Data Types
Category Types
Text Type str
Numeric Types int, float, complex
Sequence Types list, tuple, range
Mapping Type dict
Set Types set, frozenset
Boolean Type bool
Binary Types bytes, bytearray, memoryview
None Type NoneType
18. Setting The Data Type
In Python, the data type is set when you assign a value
to a variable
Example Data Type
x = "Hello World" str
x = 20 int
x = 20.5 float
x = 1j complex
x = ["apple", "banana", "cherry"] list
x = ("apple", "banana", "cherry") tuple
x = range(6) range
x = {"name" : "John", "age" : 36} dict
x = {"apple", "banana", "cherry"} set
19. Setting The Data Type
Example Data Type
x = frozenset({"apple", "banana", "cherry"}) frozenset
x = True bool
x = b"Hello" bytes
x = bytearray(5) bytearray
x = memoryview(bytes(5)) memoryview
x = None NoneType
20. Setting the Spesific Data Type
Example Data Type
x = str("Hello World”) str
x = int(20) int
x = float(20.5) float
x = complex(1j) complex
x = list(("apple", "banana", "cherry”)) list
x = tuple(("apple", "banana", "cherry")) tuple
x = range(6) range
x = dict(name="John", age=36) dict
x = set(("apple", "banana", "cherry")) set
21. Setting the Spesific Data Type
Example Data Type
x = frozenset(("apple", "banana", "cherry")) frozenset
x = bool(5) bool
x = bytes(5) bytes
x = bytearray(5) bytearray
x = memoryview(bytes(5)) memoryview
22. Praktikum
• Mencoba menjalankan syntax python menggunakan
Command Line
• Mencoba menjalankan python menggunakan file (.py)
• Mencoba Comments
• Mencoba identation
• Mencoba variables
• Mencoba berbagai tipe data
