The document provides an introduction to dictionaries in Python. It defines dictionaries as a data structure that maps keys to values, similar to a real-world dictionary. It describes that dictionaries use curly brackets, with keys and values separated by colons and elements separated by commas. Keys must be immutable types like strings or numbers, while values can be any type, including lists. The document also explains how to access and print values, update and add new key-value pairs, delete elements, clear the entire dictionary, and delete the dictionary entirely.
"Python Dictionary: The Key to Efficient Data Storage, Manipulation, and Vers...ZainabHaneen
A Python dictionary is a powerful data structure that stores key-value pairs. It's versatile, efficient, and widely used in Python programming for its simplicity and flexibility. Let's delve into a comprehensive description of Python dictionaries, covering their definition, syntax, operations, methods, use cases, and more.
### Definition:
A dictionary in Python is an unordered collection of items. Each item is a pair of a key and its corresponding value. Unlike sequences such as lists or tuples, dictionaries are indexed by keys, not by a range of numbers.
### Syntax:
Dictionaries are defined using curly braces `{}`. Each item in a dictionary is written as a key-value pair separated by a colon `:`. Keys are unique within a dictionary, while values can be of any data type, including integers, strings, lists, tuples, other dictionaries, or even functions.
Example:
```python
my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}
```
### Operations:
1. **Accessing Values:** You can access the value associated with a key using square brackets `[]`.
Example:
```python
print(my_dict['name']) # Output: John
```
2. **Updating Values:** You can update the value associated with a key by assigning a new value to that key.
Example:
```python
my_dict['age'] = 31
```
3. **Adding New Items:** You can add new key-value pairs to a dictionary by assigning a value to a new key.
Example:
```python
my_dict['gender'] = 'Male'
```
4. **Removing Items:** You can remove key-value pairs from a dictionary using the `del` keyword or the `pop()` method.
Example:
```python
del my_dict['city']
my_dict.pop('age')
```
### Methods:
Python provides several built-in methods to perform various operations on dictionaries:
1. `clear()`: Removes all items from the dictionary.
2. `copy()`: Returns a shallow copy of the dictionary.
3. `get(key[, default])`: Returns the value associated with the specified key, or a default value if the key is not found.
4. `items()`: Returns a view object that displays a list of a dictionary's key-value pairs.
5. `keys()`: Returns a view object that displays a list of the dictionary's keys.
6. `values()`: Returns a view object that displays a list of the dictionary's values.
7. `pop(key[, default])`: Removes the item with the specified key and returns its value. If the key is not found, it returns the default value.
8. `popitem()`: Removes and returns the last inserted key-value pair.
9. `update()`: Updates the dictionary with the key-value pairs from another dictionary or an iterable of key-value pairs.
### Use Cases:
1. **Storing Data:** Dictionaries are commonly used to store data in a structured format, especially when the data has associated labels or categories.
2. **Configuration Settings:** Dictionaries are useful for storing configuration settings in Python applications.
3. **Caching:** Dictionaries can be used to cache the results of expensive function calls for improved performance.
this document consists of the introduction to python, how to install and run it, arithmetic operations, values and types (dictionaries, lists, tuples, strings, numbers, etc.) and the formal language and natural language
"Python Dictionary: The Key to Efficient Data Storage, Manipulation, and Vers...ZainabHaneen
A Python dictionary is a powerful data structure that stores key-value pairs. It's versatile, efficient, and widely used in Python programming for its simplicity and flexibility. Let's delve into a comprehensive description of Python dictionaries, covering their definition, syntax, operations, methods, use cases, and more.
### Definition:
A dictionary in Python is an unordered collection of items. Each item is a pair of a key and its corresponding value. Unlike sequences such as lists or tuples, dictionaries are indexed by keys, not by a range of numbers.
### Syntax:
Dictionaries are defined using curly braces `{}`. Each item in a dictionary is written as a key-value pair separated by a colon `:`. Keys are unique within a dictionary, while values can be of any data type, including integers, strings, lists, tuples, other dictionaries, or even functions.
Example:
```python
my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}
```
### Operations:
1. **Accessing Values:** You can access the value associated with a key using square brackets `[]`.
Example:
```python
print(my_dict['name']) # Output: John
```
2. **Updating Values:** You can update the value associated with a key by assigning a new value to that key.
Example:
```python
my_dict['age'] = 31
```
3. **Adding New Items:** You can add new key-value pairs to a dictionary by assigning a value to a new key.
Example:
```python
my_dict['gender'] = 'Male'
```
4. **Removing Items:** You can remove key-value pairs from a dictionary using the `del` keyword or the `pop()` method.
Example:
```python
del my_dict['city']
my_dict.pop('age')
```
### Methods:
Python provides several built-in methods to perform various operations on dictionaries:
1. `clear()`: Removes all items from the dictionary.
2. `copy()`: Returns a shallow copy of the dictionary.
3. `get(key[, default])`: Returns the value associated with the specified key, or a default value if the key is not found.
4. `items()`: Returns a view object that displays a list of a dictionary's key-value pairs.
5. `keys()`: Returns a view object that displays a list of the dictionary's keys.
6. `values()`: Returns a view object that displays a list of the dictionary's values.
7. `pop(key[, default])`: Removes the item with the specified key and returns its value. If the key is not found, it returns the default value.
8. `popitem()`: Removes and returns the last inserted key-value pair.
9. `update()`: Updates the dictionary with the key-value pairs from another dictionary or an iterable of key-value pairs.
### Use Cases:
1. **Storing Data:** Dictionaries are commonly used to store data in a structured format, especially when the data has associated labels or categories.
2. **Configuration Settings:** Dictionaries are useful for storing configuration settings in Python applications.
3. **Caching:** Dictionaries can be used to cache the results of expensive function calls for improved performance.
this document consists of the introduction to python, how to install and run it, arithmetic operations, values and types (dictionaries, lists, tuples, strings, numbers, etc.) and the formal language and natural language
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 commentprint("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 = 5y = "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
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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 commentprint("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 = 5y = "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
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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.
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.
3. Introduction to dictionary
• Dictionaries are another example of a data structure. A dictionary is used to map or
associate things you want to store the keys you need to get them.
• A dictionary in Python is just like a dictionary in the real world. Python Dictionary are
defined into two elements Keys and Values.
• Keys will be a single element
• Values can be a list or list within a list, numbers, etc.
• Syntax for Python Dictionary:
• Dict={‘Tim’:10, xyz,…}
• Dictionary is listed in curly brackets, inside these curly brackets, keys and values are
declared. Each key is separated from its value by a colon (:) while each element is
separated by commas.
3
4. Properties of dictionary keys
• There are two important points while using dictionary keys
• More than one entry per key is not allowed ( no duplicate key is allowed)
• The values in the dictionary can be of any type while the keys must be immutable like
numbers, tuples or strings.
• Dictionary keys are case sensitive- Same key name but with the different case are treated
as different keys in Python dictionaries.
4
5. Accessing values in dictionary
To access dictionary elements, you can use the familiar square brackets along with the key
to obtain its value. Following is a simple example −
dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'}
print ("dict['Name']: ", dict['Name'])
Print( "dict['Age']: ", dict['Age'])
When the above code is executed, it produces the following result −
dict['Name']: Zara
dict['Age']: 7
5
6. Updating dictionary
You can update a dictionary by adding a new entry or a key-value pair, modifying an
existing entry, or deleting an existing entry as shown below in the simple example −
dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'}
dict['Age'] = 8; # update existing entry
dict['School'] = "DPS School"; # Add new entry
print ("dict['Age']: ", dict['Age'])
print("dict['School']: ", dict['School'])
When the above code is executed, it produces the following result −
• dict['Age']: 8
• dict['School']: DPS School
6
7. Delete dictionary elements
You can either remove individual dictionary elements or clear the entire contents of a
dictionary. You can also delete entire dictionary in a single operation.
To explicitly remove an entire dictionary, just use the del statement. Following is a simple
example −
dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'}
del dict['Name']; # remove entry with key 'Name'
dict.clear(); # remove all entries in dict
del dict ; # delete entire dictionary
7