Here is a program to create a dictionary storing employee names and salaries and access them:
```python
# Create a dictionary to store employee data
employees = {}
# Add employee data to the dictionary
employees['e1'] = {'name': 'John', 'salary': 25000}
employees['e2'] = {'name': 'Steve', 'salary': 28000}
employees['e3'] = {'name': 'Mary', 'salary': 27000}
# Print dictionary
print(employees)
# Access employee data by key
print(employees['e1'])
# Print salary of 'Steve'
print(employees['e2']['salary'])
#
Dictionaries in Python are used to store data as key-value pairs. Keys must be unique and immutable, like strings or numbers. Values can be any data type. Dictionaries are created using curly brackets {} and keys are separated from values with a colon. Values can be accessed using their key and dictionaries can be iterated over using a for loop. Dictionaries are mutable and allow adding, updating, and deleting key-value pairs.
The document discusses tuples, lists, and dictionaries in Python. Tuples are immutable sequences that are created using parentheses. Lists are mutable sequences that can be modified using methods like append(). Dictionaries are collections of key-value pairs that are indexed by keys and allow for adding, updating and deleting elements. Both lists and tuples can be traversed using for loops, while dictionaries are traversed by their keys.
The document discusses dictionaries in Python. It explains that a dictionary is a collection of unordered key-value pairs where keys must be unique. Keys can be strings, numbers, or tuples, while values can be any data type. Dictionaries allow accessing values using keys. Common dictionary operations include adding/updating items, checking if a key exists, getting values, and looping through keys and key-value pairs. The document also provides examples of using dictionaries to count word frequencies in a text file by parsing and removing punctuation.
This document discusses Python dictionaries. It defines dictionaries as mappings between keys and values, where keys can be any immutable type like strings or numbers. It provides examples of creating empty dictionaries, adding items, accessing values by key, and built-in functions like len(), get(), pop(), keys(), update(), and del. It also discusses using dictionaries to count letter frequencies in strings and to parse text files. Advanced topics covered include translating strings using maketrans() and translate(), ignoring punctuation, and converting dictionaries to lists.
This document provides information about dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that provide fast lookup by key. Various dictionary methods like dict(), clear(), copy(), get(), items(), keys(), setdefault(), update(), values(), pop(), and popitem() are explained with examples. Finally, homework problems are provided involving sorting dictionaries, adding/merging keys, checking for keys, iterating with loops, generating dictionaries from numbers, and summing dictionary items.
This document discusses dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that are indexed by keys rather than integers. It covers how to create, access, modify, traverse, and delete dictionary elements as well as built-in functions like len(), keys(), values(), items(), get(), update(), pop(), and more. Examples are provided to demonstrate counting character frequencies in a string and storing employee names and salaries in a dictionary.
"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.
Dictionaries in Python are used to store data as key-value pairs. Keys must be unique and immutable, like strings or numbers. Values can be any data type. Dictionaries are created using curly brackets {} and keys are separated from values with a colon. Values can be accessed using their key and dictionaries can be iterated over using a for loop. Dictionaries are mutable and allow adding, updating, and deleting key-value pairs.
The document discusses tuples, lists, and dictionaries in Python. Tuples are immutable sequences that are created using parentheses. Lists are mutable sequences that can be modified using methods like append(). Dictionaries are collections of key-value pairs that are indexed by keys and allow for adding, updating and deleting elements. Both lists and tuples can be traversed using for loops, while dictionaries are traversed by their keys.
The document discusses dictionaries in Python. It explains that a dictionary is a collection of unordered key-value pairs where keys must be unique. Keys can be strings, numbers, or tuples, while values can be any data type. Dictionaries allow accessing values using keys. Common dictionary operations include adding/updating items, checking if a key exists, getting values, and looping through keys and key-value pairs. The document also provides examples of using dictionaries to count word frequencies in a text file by parsing and removing punctuation.
This document discusses Python dictionaries. It defines dictionaries as mappings between keys and values, where keys can be any immutable type like strings or numbers. It provides examples of creating empty dictionaries, adding items, accessing values by key, and built-in functions like len(), get(), pop(), keys(), update(), and del. It also discusses using dictionaries to count letter frequencies in strings and to parse text files. Advanced topics covered include translating strings using maketrans() and translate(), ignoring punctuation, and converting dictionaries to lists.
This document provides information about dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that provide fast lookup by key. Various dictionary methods like dict(), clear(), copy(), get(), items(), keys(), setdefault(), update(), values(), pop(), and popitem() are explained with examples. Finally, homework problems are provided involving sorting dictionaries, adding/merging keys, checking for keys, iterating with loops, generating dictionaries from numbers, and summing dictionary items.
This document discusses dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that are indexed by keys rather than integers. It covers how to create, access, modify, traverse, and delete dictionary elements as well as built-in functions like len(), keys(), values(), items(), get(), update(), pop(), and more. Examples are provided to demonstrate counting character frequencies in a string and storing employee names and salaries in a dictionary.
"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 discusses dictionaries in Python. It explains that dictionaries are unordered collections of key-value pairs that are mutable and that keys must be unique. It provides examples of printing values, adding and updating elements, deleting elements, and checking for existence of keys. The document also discusses dictionary methods like keys(), items(), values(), update(), and more. It provides examples of using these methods and concludes with practice problems involving dictionaries.
This document discusses dictionaries in Python. It defines dictionaries as mappings between keys and values, like lists but with the index as any immutable type rather than just integers. It demonstrates creating, accessing, updating, deleting items from dictionaries and various operations like getting keys/values, checking for keys, looping, and using dictionaries to count word frequencies in files.
A dictionary in Python is a collection of key-value pairs where keys must be unique and immutable. It allows looking up values by their associated keys similar to a real-world dictionary. Keys are used as indexes to retrieve their corresponding values. Dictionaries are mutable and unordered collections that can hold elements of different data types. Common operations on dictionaries include adding, updating, and removing key-value pairs as well as accessing elements by their keys.
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.
This document defines and provides examples of using dictionaries in Python. It explains that dictionaries are mutable collections of key-value pairs that are indexed by keys rather than integers. Keys must be unique and immutable, while values can be of any type. The document outlines how to create, access, traverse, modify, and perform operations on dictionary elements using various syntax and functions like dict(), [], pop(), update(), keys(), values(), and more.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
A dictionary in Python is a mutable container that stores key-value pairs, with keys that must be immutable like strings or numbers. Dictionaries allow fast lookup of values based on keys. Keys must be unique within a dictionary, while values can be of any type including other containers. Dictionaries can be accessed, updated, and modified using square bracket notation or dictionary methods.
This document discusses various data structures in Python including lists, dictionaries, tuples, sets, and strings. Lists are mutable sequences that can contain heterogeneous data types. Dictionaries are mutable and store key-value pairs with unique keys. Tuples are immutable sequences that can be nested. Sets store unordered and unique elements. Strings are immutable sequences of characters that support slicing, formatting, and other common string operations.
Tuple assignment allows multiple variables to be assigned values from an iterable like a list or tuple in a single statement. This is more concise than separate assignments and avoids using a temporary variable. For example, to swap the values of variables a and b, tuple assignment can be used: a, b = b, a. The left side must contain the same number of variables as there are elements on the right, and each value is assigned to the corresponding variable from left to right. Tuple assignment is useful for unpacking elements like splitting a string into parts.
A dictionary is used to store player details like name, age, height and experience for a cricket team. Players under 19 are extracted to a new dictionary. 11 players are selected from the under 19 dictionary based on experience. The tallest player is chosen as the captain. The team and captain details are displayed.
Explains what is a Set and Dictionary. Explains various operations on Set, Set class methods for manipulation and frozensets. Explains various Dictionary class methods and their usage, use of iterators in Dictionary and use of for loop in dictionary
Anton Kasyanov, Introduction to Python, Lecture4Anton Kasyanov
This document provides an introduction and overview of Python lists, tuples, dictionaries, and files. It discusses how lists can contain a grouping of similar items indexed from 0, how tuples are immutable lists, how dictionaries contain key-value pairs, and how to read files line by line in Python. It also assigns as homework to create a basic translation program that uses lists or dictionaries to translate words between two languages using a file-based dictionary.
The document discusses container data types in Python, including lists, tuples, sets, and dictionaries.
Lists allow indexing, slicing, and various methods like append(), insert(), pop(), and sort(). Tuples are like lists but immutable, and have methods like count(), index(), and tuple comprehension. Sets store unique elements and support operations like union and intersection. Dictionaries map keys to values and allow accessing elements via keys along with functions like get() and update().
- Dictionaries in Python are mutable and contain key-value pairs, with keys being unique and immutable.
- Common dictionary methods include keys(), values(), items(), get(), update(), pop(), popitem() etc.
- Dictionaries can be iterated over using for loops and sorted. Operations like merging, concatenation, checking presence of keys are also possible on dictionaries.
This document provides an introduction to Python programming unit 2 which covers lists, tuples, and dictionaries. Lists allow ordered sets of values accessed by index and can be modified. Tuples are similar to lists but immutable. Dictionaries store elements as key-value pairs that can be accessed by key. Common operations for each include accessing elements, determining length, membership testing, slicing, and built-in methods. Tuples can group data and be used as return values or in nested structures. Dictionaries allow creation and modification of elements through operations and methods.
Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon :, whereas each key is separated by a ‘comma’.
A Dictionary in Python works similar to the Dictionary in a real world. Keys of a Dictionary must be unique and of immutable data type such as Strings, Integers and tuples, but the key-values can be repeated and be of any type.
C++ code, please help! RESPOND W COMPLETED CODE PLEASE, am using V.pdfrahulfancycorner21
C++ code, please help! RESPOND W/ COMPLETED CODE PLEASE, am using Visual Studio
Code.
Error message:
ld: Undefined symbols:
parseName(std::__1::basic_stringstream, std::__1::allocator>&), referenced from:
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SymbolTable::init(), referenced from:
_main in module-a187a7.o
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SymbolTable::insert(std::__1::basic_string, std::__1::allocator>, int), referenced from:
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SubExpression::parse(std::__1::basic_stringstream, std::__1::allocator>&), referenced from:
_main in module-a187a7.o
clang: error: linker command failed with exit code 1 (use -v to see invocation)
[Done] exited with code=1 in 1.478 seconds
divide.h
class Divide : public SubExpression
{
public:
//define the default construtor
Divide(Expression* left, Expression* right) : SubExpression(left, right)
{
}
//define the function evaluate()
int evaluate()
{
//divide the value of left and value of the right
//and return the value.
return left->evaluate() / right->evaluate();
}
};
expression.h
// Expression
class Expression
{
public:
//declare a virtual function evaluate()
virtual int evaluate() = 0;
};
literal.h
//Operand
class Literal : public Operand
{
public:
//define the construtor
Literal(int value)
{
this->value = value;
}
//define the function evaluate()
//returns the value
int evaluate()
{
return value;
}
private:
int value;
};
minus.h
//define the class Minus subclass of the SubExpression
class Minus : public SubExpression
{
public:
//define the default construtor
Minus(Expression* left, Expression* right) : SubExpression(left, right)
{
}
//define the function evaluate()
int evaluate()
{
//subtract the value of right from the value of the left
//and return the value.
return left->evaluate() - right->evaluate();
}
};
module.cpp
#include
#include
#include
#include
#include
using namespace std;
#include "expression.h"
#include "subexpression.h"
#include "symboltable.h"
#include "parse.h"
//create an object of SymbolTable
SymbolTable symbolTable;
//prototype of the function
void parseAssignments(stringstream& in);
//define main function
int main()
{
// declare the variables
Expression* expression;
char paren, comma;
string line;
// create an input file stream
ifstream fin("input.txt");
// check, if the file is not opened
//then display a error message
if (!fin.is_open())
perror("error while opening file");
//use a loop, to read the content from the file
while (getline(fin, line))
{
symbolTable.init();
if (!fin)
break;
stringstream in(line, ios_base::in);
in >> paren;
cout << line << " ";
expression = SubExpression::parse(in);
in >> comma;
//call the function
parseAssignments(in);
//Display the result
int result = expression->evaluate();
cout << "Value = " << result << endl;
}
system("pause");
return 0;
}
//definition of the function p.
This document provides an overview of the Python programming language in 3 paragraphs. It discusses that Python is a high-level, interpreted, interactive and object-oriented scripting language. It was created by Guido van Rossum in the late 1980s and derived from languages like C and C++. The document then covers some key features of Python, including that it is easy to learn and read, portable, extensible and supports object-oriented programming. It provides examples of Python's basic syntax including indentation, variables, data types, operators and more.
This document discusses dictionaries in Python. It explains that dictionaries are unordered collections of key-value pairs that are mutable and that keys must be unique. It provides examples of printing values, adding and updating elements, deleting elements, and checking for existence of keys. The document also discusses dictionary methods like keys(), items(), values(), update(), and more. It provides examples of using these methods and concludes with practice problems involving dictionaries.
This document discusses dictionaries in Python. It defines dictionaries as mappings between keys and values, like lists but with the index as any immutable type rather than just integers. It demonstrates creating, accessing, updating, deleting items from dictionaries and various operations like getting keys/values, checking for keys, looping, and using dictionaries to count word frequencies in files.
A dictionary in Python is a collection of key-value pairs where keys must be unique and immutable. It allows looking up values by their associated keys similar to a real-world dictionary. Keys are used as indexes to retrieve their corresponding values. Dictionaries are mutable and unordered collections that can hold elements of different data types. Common operations on dictionaries include adding, updating, and removing key-value pairs as well as accessing elements by their keys.
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.
This document defines and provides examples of using dictionaries in Python. It explains that dictionaries are mutable collections of key-value pairs that are indexed by keys rather than integers. Keys must be unique and immutable, while values can be of any type. The document outlines how to create, access, traverse, modify, and perform operations on dictionary elements using various syntax and functions like dict(), [], pop(), update(), keys(), values(), and more.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
A dictionary in Python is a mutable container that stores key-value pairs, with keys that must be immutable like strings or numbers. Dictionaries allow fast lookup of values based on keys. Keys must be unique within a dictionary, while values can be of any type including other containers. Dictionaries can be accessed, updated, and modified using square bracket notation or dictionary methods.
This document discusses various data structures in Python including lists, dictionaries, tuples, sets, and strings. Lists are mutable sequences that can contain heterogeneous data types. Dictionaries are mutable and store key-value pairs with unique keys. Tuples are immutable sequences that can be nested. Sets store unordered and unique elements. Strings are immutable sequences of characters that support slicing, formatting, and other common string operations.
Tuple assignment allows multiple variables to be assigned values from an iterable like a list or tuple in a single statement. This is more concise than separate assignments and avoids using a temporary variable. For example, to swap the values of variables a and b, tuple assignment can be used: a, b = b, a. The left side must contain the same number of variables as there are elements on the right, and each value is assigned to the corresponding variable from left to right. Tuple assignment is useful for unpacking elements like splitting a string into parts.
A dictionary is used to store player details like name, age, height and experience for a cricket team. Players under 19 are extracted to a new dictionary. 11 players are selected from the under 19 dictionary based on experience. The tallest player is chosen as the captain. The team and captain details are displayed.
Explains what is a Set and Dictionary. Explains various operations on Set, Set class methods for manipulation and frozensets. Explains various Dictionary class methods and their usage, use of iterators in Dictionary and use of for loop in dictionary
Anton Kasyanov, Introduction to Python, Lecture4Anton Kasyanov
This document provides an introduction and overview of Python lists, tuples, dictionaries, and files. It discusses how lists can contain a grouping of similar items indexed from 0, how tuples are immutable lists, how dictionaries contain key-value pairs, and how to read files line by line in Python. It also assigns as homework to create a basic translation program that uses lists or dictionaries to translate words between two languages using a file-based dictionary.
The document discusses container data types in Python, including lists, tuples, sets, and dictionaries.
Lists allow indexing, slicing, and various methods like append(), insert(), pop(), and sort(). Tuples are like lists but immutable, and have methods like count(), index(), and tuple comprehension. Sets store unique elements and support operations like union and intersection. Dictionaries map keys to values and allow accessing elements via keys along with functions like get() and update().
- Dictionaries in Python are mutable and contain key-value pairs, with keys being unique and immutable.
- Common dictionary methods include keys(), values(), items(), get(), update(), pop(), popitem() etc.
- Dictionaries can be iterated over using for loops and sorted. Operations like merging, concatenation, checking presence of keys are also possible on dictionaries.
This document provides an introduction to Python programming unit 2 which covers lists, tuples, and dictionaries. Lists allow ordered sets of values accessed by index and can be modified. Tuples are similar to lists but immutable. Dictionaries store elements as key-value pairs that can be accessed by key. Common operations for each include accessing elements, determining length, membership testing, slicing, and built-in methods. Tuples can group data and be used as return values or in nested structures. Dictionaries allow creation and modification of elements through operations and methods.
Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized. Each key-value pair in a Dictionary is separated by a colon :, whereas each key is separated by a ‘comma’.
A Dictionary in Python works similar to the Dictionary in a real world. Keys of a Dictionary must be unique and of immutable data type such as Strings, Integers and tuples, but the key-values can be repeated and be of any type.
C++ code, please help! RESPOND W COMPLETED CODE PLEASE, am using V.pdfrahulfancycorner21
C++ code, please help! RESPOND W/ COMPLETED CODE PLEASE, am using Visual Studio
Code.
Error message:
ld: Undefined symbols:
parseName(std::__1::basic_stringstream, std::__1::allocator>&), referenced from:
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SymbolTable::init(), referenced from:
_main in module-a187a7.o
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SymbolTable::insert(std::__1::basic_string, std::__1::allocator>, int), referenced from:
parseAssignments(std::__1::basic_stringstream, std::__1::allocator>&) in module-a187a7.o
SubExpression::parse(std::__1::basic_stringstream, std::__1::allocator>&), referenced from:
_main in module-a187a7.o
clang: error: linker command failed with exit code 1 (use -v to see invocation)
[Done] exited with code=1 in 1.478 seconds
divide.h
class Divide : public SubExpression
{
public:
//define the default construtor
Divide(Expression* left, Expression* right) : SubExpression(left, right)
{
}
//define the function evaluate()
int evaluate()
{
//divide the value of left and value of the right
//and return the value.
return left->evaluate() / right->evaluate();
}
};
expression.h
// Expression
class Expression
{
public:
//declare a virtual function evaluate()
virtual int evaluate() = 0;
};
literal.h
//Operand
class Literal : public Operand
{
public:
//define the construtor
Literal(int value)
{
this->value = value;
}
//define the function evaluate()
//returns the value
int evaluate()
{
return value;
}
private:
int value;
};
minus.h
//define the class Minus subclass of the SubExpression
class Minus : public SubExpression
{
public:
//define the default construtor
Minus(Expression* left, Expression* right) : SubExpression(left, right)
{
}
//define the function evaluate()
int evaluate()
{
//subtract the value of right from the value of the left
//and return the value.
return left->evaluate() - right->evaluate();
}
};
module.cpp
#include
#include
#include
#include
#include
using namespace std;
#include "expression.h"
#include "subexpression.h"
#include "symboltable.h"
#include "parse.h"
//create an object of SymbolTable
SymbolTable symbolTable;
//prototype of the function
void parseAssignments(stringstream& in);
//define main function
int main()
{
// declare the variables
Expression* expression;
char paren, comma;
string line;
// create an input file stream
ifstream fin("input.txt");
// check, if the file is not opened
//then display a error message
if (!fin.is_open())
perror("error while opening file");
//use a loop, to read the content from the file
while (getline(fin, line))
{
symbolTable.init();
if (!fin)
break;
stringstream in(line, ios_base::in);
in >> paren;
cout << line << " ";
expression = SubExpression::parse(in);
in >> comma;
//call the function
parseAssignments(in);
//Display the result
int result = expression->evaluate();
cout << "Value = " << result << endl;
}
system("pause");
return 0;
}
//definition of the function p.
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2. WHAT IS
DICTIONARY
It is another collection in Python but with different in way of storing and
accessing. Other collection like list, tuple, string are having an index
associated with every element but Python Dictionary have a “key”
associated with every element. That‟s why python dictionaries are known
asKEY:VALUEpairs.
Like with English dictionary we search any word for meaning associated
with it, similarly in Python we search for “key” to get its associated value
rather thansearching for an index.
3. CREATINGA DICTIONARY
Syntax to create dictionary:
dictionary_name = {key1:value,key2:value,….} Example
>>> emp= {"empno":1,"name":"Shahrukh","fee":1500000}
Here Keysare : “empno”, “name” and “fee”
Valuesare: 1, “Shahrukh”, 1500000
Note:
1) Dictionary elementsmustbe between curly brackets
2) Eachvalue mustbe paired with key element
3) Eachkey-value pair mustbe separated by comma(,)
4. CREATINGA DICTIONARY
Dict1 = {} # emptydictionary
DaysInMonth={"Jan":31,"Feb":28,"Mar":31,"Apr":31
"May":31,"Jun":30,"Jul":31,"Aug":31
"Sep":30,"Oct":31,"Nov":30,"Dec":31}
Note: Keysof dictionary mustof immutable type suchas:
- Apython string
- A number
- Atuple(containing only immutable entries)
- If we try to give mutable type askey,python will give an error
- >>>dict2 = {[2,3]:”abc”} #Error
5. ACCESSINGELEMENTSOF DICTIONARY
T
oaccessDictionary elementswe need the “key”
>>>mydict={'empno':1,'name':'Shivam','dept':'sales','salary':25000}
>>> mydict['salary']
25000
Note: if you try to access“key” which isnot in the dictionary, python
will raise an error
>>>mydict["comm‟] #Error
6. TRAVERSINGA DICTIONARY
Pythonallows to apply “for” loop to traverse every element
of dictionary based ontheir “key”. Forloop will get every
key of dictionary and we canaccess every element based on
their key.
mydict={'empno':1,'name':'Shivam','dept':'sales','salary':25000}
for key in mydict:
print(key,'=',mydict[key])
8. CHARACTERISTICSOF A DICTIONARY
Unordered set
Adictionary isa unordered setof key:valuepair
Not a sequence
Unlike a string, tuple, and list, a dictionary is not a sequence because it is
unordered set of elements. The sequences are indexed by a range of
ordinal numbers. Hence they are ordered but a dictionary is an
unordered collection
Indexed by Keys,Not Numbers
Dictionaries are indexed by keys.Keysare immutable type
9. CHARACTERISTICSOF A DICTIONARY
Keysmustbeunique
Eachkey within dictionary must be unique. However two unique
keyscanhave samevalues.
>>> data={1:100, 2:200,3:300,4:200}
Mutable
Likelists, dictionary are also mutable. We canchange the value
of a certain “key” in place
Data[3]=400
>>>Data
So,to change value of dictionary the format is :
DictionaryName[“key” / key]=new_value
Y
oucannot only change but you canadd newkey:value pair:
10. WORKING WITH
DICTIONARIES
Multiple ways of creatingdictionaries
1. Initializing a Dictionary : in this method all the key:value pairs of
dictionary are written collectively separated by commasand enclosed in
curly braces Student={“roll”:1,”name”:”Scott”,”Per”:90}
2. Adding key:value pair to an empty Dictionary : in this method we first
create empty dictionary and then key:value pair are added to it one
pair at a time For example
#Empty dictionary
Alphabets={} Or
Alphabets = dict()
11. WORKING WITH
DICTIONARIES
Multiple ways of creating dictionaries
Now we will add newpair to this empty dictionary oneby one
as:
Alphabets = {}
Alphabets[“a”]=“apple”
Alphabets[“b”]=“boy”
3. Creating dictionary from name and value pairs: using the dict() constructor
of dictionary, you can also create dictionary initialized from specified set of keys
and values.Thereare multiple ways to provide keysand value to dict()
(i) Specific key:value pairs askeyword argument to dict()
Student=dict(roll=1,name="scott‟,per=89)
12. WORKING WITH DICTIONARIES
Multiple ways of creating dictionaries
(ii) Specifycomma-separated key:value pairs
student= dict({"roll‟:1,‟name‟:‟scott‟,‟per‟:89})
(ii)Specify keys separately and corresponding values
separately: in this method keys and values are enclosed
separately in parenthesis and are given as arguments to the
zip() inside dict()
Emp= dict(zip(("empno‟,‟name‟,‟dept‟),(1,‟Scott‟,‟HR‟)))
13. WORKING WITH DICTIONARIES
Multiple ways of creating dictionaries
(iv) Specify key:value pairs separately in form of
sequences : in this method one list of tuple argument is
These list or tuple contains individual
passed to dict().
key:value pair
Example:
Emp= dict([„name‟,‟Victor‟],[„dept‟,‟sales‟])
Or
Emp= dict(((„name‟,‟john‟),("dept‟,‟it‟),("sal‟,1200)))
14. ADDING ELEMENTSTO
DICTIONARY
Y
oucanadd newelement to dictionary as:
dictionaryName[“key”] = value
Nesting Dictionaries : you can add dictionary as value inside a
dictionary. Thistype of dictionary knownasnesteddictionary.
Forexample:
Visitor = {"Name‟: ‟Scott‟,
‟Address‟ :
{"hno‟:‟11A/B‟,‟City‟:‟Kanpur‟,‟PinCode‟:‟208004‟}}
15. ADDING ELEMENTSTO
DICTIONARY
T
oprint elements of nested dictionary isas :
>>> Visitor ={'Name':'Scott’,
'Address':{'hno':'11A/B','City':'Kanpur','PinCode’:’208004’}}
>>> Visitor
{'Name': 'Scott', 'Address': {'hno': '11A/B', 'City': 'Kanpur', 'PinCode’:’208004’}}
>>> Visitor['Name'] 'Scott'
>>> Visitor['Address']['City']# to accessnested elements 'Kanpur'
20. CHECKINGTHE EXISTENCEOF
KEY
We cancheckthe existenceof key in dictionary
using“in” and “not in”.
>>>alpha={"a":"apple","b":"boy","c":"cat","d":"dog"}
>>> 'a' inalpha
True
>>>‟e‟ in alpha False
>>>‟e‟ notin alpha
True
21. CHECKINGTHE EXISTENCEOF
KEY
If you pass“value” of dictionary to search using“in”
it will return False
>>>‟apple‟in alpha
False
T
osearch for a value we have to search in
dict.values()
>>>‟apple‟ in alpha.values()
22. PRETTY PRINTING A DICTIONARY
We generally useprint() to print the dictionary in
python. For e.g.
>>>alpha={"a":"apple","b":"boy","c":"cat","d":"dog"}
>>>print(alpha)
{'a': 'apple', 'b': 'boy', 'c': 'cat', 'd': 'dog'}
T
o print dictionary in more readable form we usejson
module. i.e. import json and thencall the function
dumps()
24. Counting frequency of elements in a list using
dictionary
Create an empty dictionary
T
akeup elementfrom list “listname”
Checkif thiselementexistsasa key in the dictionary:
If not thenadd {key:value} to dictionary in the form
{list-element:countof listelement}
Before wemoveonto thistopic let usunderstand the function split()
25. PROGRAMTO COUNTTHEFREQUENCY OF
LIST- ELEMENTUSINGA DICTIONARY
import json
sentence="Python learning isgreat fun
Pythonisinterpreted language"
words = sentence.split()
d={}
for onein words:
key = one
if key not in d:
count= words.count(key)
d[key]=count
print("Counting frequencies in
listn",words)
print(json.dumps(d,indent=1))
26. DICTIONARY FUNCTIONSAND METHODS
len() :it return the length of dictionary i.e. the count of
elements(key:value pairs) in dictionary
>>>alpha = {'a': 'apple', 'b': 'boy', 'c': 'cat', 'd': 'dog'}
>>> len(alpha)
4
clear() :thismethod removesall itemsfrom dictionary and
dictionary becomesempty dictionary
>>>alpha.clear()
>>>alpha # {}
27. • HOWEVER IF YOU USE“DEL” TO DELETE DICTIONARY IT WILL
REMOVE DICTIONARY FROM MEMORY
• >>>ALPHA = {'A': 'APPLE', 'B': 'BOY', 'C': 'CAT', 'D': 'DOG'}
• >>>DEL ALPHA
• >>>ALPHA #ERROR "ALPHA‟IS NOT DEFINED
• GET() :THIS METHOD IS USED VALUE OF GIVEN KEY,IF KEY NOT
FOUND IT RAISES AN EXCEPTION
>>>alpha.get("b‟)
>>>alpha.get("z‟)
# boy
#Error, nothing will print
28. >>>ALPHA.GET("Z‟,‟NOT FOUND‟)
NOT FOUND
ITEMS() :THIS METHOD RETURNS ALL THE ITEMS IN THE
DICTIONARY AS SEQUENCE OF (KEY,VALUE)TUPLE
>>>ALPHA = {'A': 'APPLE', 'B': 'BOY', 'C': 'CAT', 'D': 'DOG'}
>>> MYTUPLE = ALPHA.ITEMS()
>>>FOR ITEM IN MYTUPLE:
PRINT(ITEM)
29. DICTIONARY FUNCTIONSAND
METHODS
>>>alpha = {'a': 'apple', 'b': 'boy', 'c': 'cat', 'd': 'dog'}
>>> mytuple = alpha.items()
>>>for key,value in mytuple:
print(key,value)
keys() : this method return all the keys in the dictionary asa
sequenceof keys(notin list form)
>>> alpha.keys()
dict_keys(['a', 'b', 'c', 'd'])
30. DICTIONARY FUNCTIONSAND METHODS
>>>alpha = {'a': 'apple', 'b': 'boy', 'c': 'cat', 'd': 'dog'}
values(): this methodreturn all the values in the dictionary asa
sequenceof keys(alistform)
>>> alpha.values()
dict_values(['apple', 'boy', 'cat', 'dog'])
Update() method : this method merges the key:value pari from the
new dictionary into original dictionary, adding or replacing as
needed. The items in the new dictionary are added to the old one
and override item
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32. Given value is
assigned to each key
fromkeys() : return new dictionary with the given set of
elements asthe keysof thedictionary.
Default value is None
List is assigned to
each key, as the list
updated dictionary
key values are
automatically updated
33. copy() : asthe namesuggest,it will create a copy of
dictionary.
Popitem() : it will removethe last dictionary item are
return key,value.
max(): thisfunction return highest value in dictionary, this
will
34. min() : this function return highest value in dictionary, this
will work only if all the values in dictionary is of numeric type.
Sorting the
keys
sorted() : this function is used to sort the key or value of dictionary in either
ascendingor descending order. Bydefault it will sort the keys.