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Dictionaries in Python

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

Dictionaries

90

#description

Sure, I'd be happy to!

Dictionaries are a type of data structure in Python that allow you to store and organize data in key-value pairs. In other words, a dictionary is a collection of items, each with a unique key and a corresponding value.

Here's an example of a dictionary:

 
                    
student_grades = {'John': 90, 'Sarah': 85, 'Kate': 95}

In this example, student_grades is a dictionary with three items. Each item has a key (John, Sarah, and Kate) and a value (90, 85, and 95, respectively).

You can access the values in a dictionary by using the keys.

For example, to get John's grade, you would do:

 
                    
johns_grade = student_grades['John']

You can also add, update, and remove items from a dictionary using various built-in methods.

For example, to add a new student and their grade to the student_grades dictionary, you would do:

 
                    
student_grades['Mike'] = 80

To update a student's grade, you would do:

 
                    
student_grades['John'] = 85

And to remove a student and their grade from the dictionary, you would do:

 
                    
del student_grades['Kate']

Dictionaries can be very useful for a wide variety of applications, from storing data about students to managing complex datasets. I hope this helps!

March 25, 2023

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