Submit Search
Upload
Python indexing (menard maranan)
•
1 like
•
104 views
Menard Maranan
Follow
Python Indexing Tutorial
Read less
Read more
Technology
Report
Share
Report
Share
1 of 8
Download now
Download to read offline
Recommended
Class 11 Computer Science 083 Python Chapter 10 data handling
Chapter 10 data handling
Chapter 10 data handling
Praveen M Jigajinni
Linear Search algorithem.
Linear Search Data Structure
Linear Search Data Structure
Talha Shaikh
DATA TYPES IN PYTHON PYTHON NUMBER PYTHON LIST PYTHON TUPLE PYTHON STRING PYTHON SET PYTHON DICTIONARY
Python data type
Python data type
nuripatidar
sorting and techniques description with example program
sorting and its types
sorting and its types
SIVASHANKARIRAJAN
Python - Slicing
Slicing
Slicing
Marieswaran Ramasamy
UNIT-6 SEARCHING SORTING DATA STRCTURE ANAND GHARU PVGCOE NASIK
Unit 6 dsa SEARCHING AND SORTING
Unit 6 dsa SEARCHING AND SORTING
PUNE VIDYARTHI GRIHA'S COLLEGE OF ENGINEERING, NASHIK
In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. https://apkleet.com <a href="https://apkleet.com" >games apk </a>
Introduction to data structure ppt
Introduction to data structure ppt
NalinNishant3
python List data structure
List in Python
List in Python
Siddique Ibrahim
Recommended
Class 11 Computer Science 083 Python Chapter 10 data handling
Chapter 10 data handling
Chapter 10 data handling
Praveen M Jigajinni
Linear Search algorithem.
Linear Search Data Structure
Linear Search Data Structure
Talha Shaikh
DATA TYPES IN PYTHON PYTHON NUMBER PYTHON LIST PYTHON TUPLE PYTHON STRING PYTHON SET PYTHON DICTIONARY
Python data type
Python data type
nuripatidar
sorting and techniques description with example program
sorting and its types
sorting and its types
SIVASHANKARIRAJAN
Python - Slicing
Slicing
Slicing
Marieswaran Ramasamy
UNIT-6 SEARCHING SORTING DATA STRCTURE ANAND GHARU PVGCOE NASIK
Unit 6 dsa SEARCHING AND SORTING
Unit 6 dsa SEARCHING AND SORTING
PUNE VIDYARTHI GRIHA'S COLLEGE OF ENGINEERING, NASHIK
In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. https://apkleet.com <a href="https://apkleet.com" >games apk </a>
Introduction to data structure ppt
Introduction to data structure ppt
NalinNishant3
python List data structure
List in Python
List in Python
Siddique Ibrahim
Strings in python
Strings in python
Strings in python
Prabhakaran V M
Queue Implementation Using Array & Linked List
Queue Implementation Using Array & Linked List
PTCL
Arrays in c++ Full Topic
Arrays In C++
Arrays In C++
Awais Alam
Simple presentation about linear search.
Linear Search Presentation
Linear Search Presentation
Markajul Hasnain Alif
Python List
Python list
Python list
Mohammed Sikander
This Power Point Presentation explains the what are the data types present in Python and each data type has one sample code
Python Datatypes by SujithKumar
Python Datatypes by SujithKumar
Sujith Kumar
If you want to learn the basics of Python programming language here it is in the simplest way. Enjoy learning.
Introduction to python programming
Introduction to python programming
Srinivas Narasegouda
Python Programming - XI. String Manipulation and Regular Expressions
Python Programming - XI. String Manipulation and Regular Expressions
Ranel Padon
Searching & Sorting Algorithms
Searching & Sorting Algorithms
Searching & Sorting Algorithms
Rahul Jamwal
BASIC DATA TYPES IN PYTHON
Basic data types in python
Basic data types in python
sunilchute1
One of the most important tasks when analyzing a collection of numbers is to find the ith smallest element. Examples of these elements are • The minimum • The maximum • The Median for n odd, Then, it is necessary to find fast solutions to find this statistics.
07 Analysis of Algorithms: Order Statistics
07 Analysis of Algorithms: Order Statistics
Andres Mendez-Vazquez
mhmahmudulhasan09@gmail.com
Encoder
Encoder
Mahmudul Hasan
Tamilnadu XII 2020-21
XII Computer Science- Chapter 1-Function
XII Computer Science- Chapter 1-Function
Prem Joel
A power point presentation on number system which briefly explains the conversion of decimal to binary, binary to decimal, binary to octal, octal to decimal. Ping me at Twitter (https://twitter.com/rishabh_kanth), to Download this Presentation.
PPT ON NUMBER SYSTEM
PPT ON NUMBER SYSTEM
Rishabh Kanth
this presentation will describe Arduino Hardware Architecture and Overview
Arduino and its hw architecture
Arduino and its hw architecture
Zeeshan Rafiq
Trees - Data structures in C/Java
Trees - Data structures in C/Java
geeksrik
Python3 Lists and its functions and their usage with examples
Lists
Lists
Lakshmi Sarvani Videla
Python Set
Python set
Python set
Mohammed Sikander
Quick sort -Data Structure
Quick sort-Data Structure
Quick sort-Data Structure
Jeanie Arnoco
Representation of binary tree in memory
Representation of binary tree in memory
Rohini Shinde
Python return statement tutorial
Python return statement
Python return statement
Menard Maranan
Python Try Except tutorial
Python try except (menard maranan)
Python try except (menard maranan)
Menard Maranan
More Related Content
What's hot
Strings in python
Strings in python
Strings in python
Prabhakaran V M
Queue Implementation Using Array & Linked List
Queue Implementation Using Array & Linked List
PTCL
Arrays in c++ Full Topic
Arrays In C++
Arrays In C++
Awais Alam
Simple presentation about linear search.
Linear Search Presentation
Linear Search Presentation
Markajul Hasnain Alif
Python List
Python list
Python list
Mohammed Sikander
This Power Point Presentation explains the what are the data types present in Python and each data type has one sample code
Python Datatypes by SujithKumar
Python Datatypes by SujithKumar
Sujith Kumar
If you want to learn the basics of Python programming language here it is in the simplest way. Enjoy learning.
Introduction to python programming
Introduction to python programming
Srinivas Narasegouda
Python Programming - XI. String Manipulation and Regular Expressions
Python Programming - XI. String Manipulation and Regular Expressions
Ranel Padon
Searching & Sorting Algorithms
Searching & Sorting Algorithms
Searching & Sorting Algorithms
Rahul Jamwal
BASIC DATA TYPES IN PYTHON
Basic data types in python
Basic data types in python
sunilchute1
One of the most important tasks when analyzing a collection of numbers is to find the ith smallest element. Examples of these elements are • The minimum • The maximum • The Median for n odd, Then, it is necessary to find fast solutions to find this statistics.
07 Analysis of Algorithms: Order Statistics
07 Analysis of Algorithms: Order Statistics
Andres Mendez-Vazquez
mhmahmudulhasan09@gmail.com
Encoder
Encoder
Mahmudul Hasan
Tamilnadu XII 2020-21
XII Computer Science- Chapter 1-Function
XII Computer Science- Chapter 1-Function
Prem Joel
A power point presentation on number system which briefly explains the conversion of decimal to binary, binary to decimal, binary to octal, octal to decimal. Ping me at Twitter (https://twitter.com/rishabh_kanth), to Download this Presentation.
PPT ON NUMBER SYSTEM
PPT ON NUMBER SYSTEM
Rishabh Kanth
this presentation will describe Arduino Hardware Architecture and Overview
Arduino and its hw architecture
Arduino and its hw architecture
Zeeshan Rafiq
Trees - Data structures in C/Java
Trees - Data structures in C/Java
geeksrik
Python3 Lists and its functions and their usage with examples
Lists
Lists
Lakshmi Sarvani Videla
Python Set
Python set
Python set
Mohammed Sikander
Quick sort -Data Structure
Quick sort-Data Structure
Quick sort-Data Structure
Jeanie Arnoco
Representation of binary tree in memory
Representation of binary tree in memory
Rohini Shinde
What's hot
(20)
Strings in python
Strings in python
Queue Implementation Using Array & Linked List
Queue Implementation Using Array & Linked List
Arrays In C++
Arrays In C++
Linear Search Presentation
Linear Search Presentation
Python list
Python list
Python Datatypes by SujithKumar
Python Datatypes by SujithKumar
Introduction to python programming
Introduction to python programming
Python Programming - XI. String Manipulation and Regular Expressions
Python Programming - XI. String Manipulation and Regular Expressions
Searching & Sorting Algorithms
Searching & Sorting Algorithms
Basic data types in python
Basic data types in python
07 Analysis of Algorithms: Order Statistics
07 Analysis of Algorithms: Order Statistics
Encoder
Encoder
XII Computer Science- Chapter 1-Function
XII Computer Science- Chapter 1-Function
PPT ON NUMBER SYSTEM
PPT ON NUMBER SYSTEM
Arduino and its hw architecture
Arduino and its hw architecture
Trees - Data structures in C/Java
Trees - Data structures in C/Java
Lists
Lists
Python set
Python set
Quick sort-Data Structure
Quick sort-Data Structure
Representation of binary tree in memory
Representation of binary tree in memory
More from Menard Maranan
Python return statement tutorial
Python return statement
Python return statement
Menard Maranan
Python Try Except tutorial
Python try except (menard maranan)
Python try except (menard maranan)
Menard Maranan
Python Packages Tutorial
Python packages (menard maranan)
Python packages (menard maranan)
Menard Maranan
Python Modules tutorial
Python modules (menard maranan)
Python modules (menard maranan)
Menard Maranan
Python Inheritance Tutorial
Python inheritance (menard maranan)
Python inheritance (menard maranan)
Menard Maranan
Python class tutorial
Python class (menard maranan)
Python class (menard maranan)
Menard Maranan
Python functions tutorial
Python functions (menard maranan)
Python functions (menard maranan)
Menard Maranan
Python for loops tutorial
Python for loops
Python for loops
Menard Maranan
Python while loops tutorial
Python while loops (menard maranan)
Python while loops (menard maranan)
Menard Maranan
Python if else tutorial
Python if else statements (menard maranan)
Python if else statements (menard maranan)
Menard Maranan
Python Tuples Tutorial
Python tuples (menard maranan)
Python tuples (menard maranan)
Menard Maranan
Python Sets Tutorial
Python sets (menard maranan)
Python sets (menard maranan)
Menard Maranan
Python Dictionaries Tutorial
Python dictionaries (menard maranan)
Python dictionaries (menard maranan)
Menard Maranan
Python Nested Lists
Python nested lists (menard maranan)
Python nested lists (menard maranan)
Menard Maranan
Python Lists Tutorial
Python lists (menard maranan)
Python lists (menard maranan)
Menard Maranan
Python Slides Data Structures
Python data structures (menard maranan)
Python data structures (menard maranan)
Menard Maranan
Python String Formatting Tutorial
Python string formatting (menard maranan)
Python string formatting (menard maranan)
Menard Maranan
Python Comments Tutorial
Python comments (menard maranan)
Python comments (menard maranan)
Menard Maranan
Python Booleans Literals Tutorial
Slides python booleans (menard maranan)
Slides python booleans (menard maranan)
Menard Maranan
Python Numeric Literals TutoriaL
Slides python numbers (menard maranan)
Slides python numbers (menard maranan)
Menard Maranan
More from Menard Maranan
(20)
Python return statement
Python return statement
Python try except (menard maranan)
Python try except (menard maranan)
Python packages (menard maranan)
Python packages (menard maranan)
Python modules (menard maranan)
Python modules (menard maranan)
Python inheritance (menard maranan)
Python inheritance (menard maranan)
Python class (menard maranan)
Python class (menard maranan)
Python functions (menard maranan)
Python functions (menard maranan)
Python for loops
Python for loops
Python while loops (menard maranan)
Python while loops (menard maranan)
Python if else statements (menard maranan)
Python if else statements (menard maranan)
Python tuples (menard maranan)
Python tuples (menard maranan)
Python sets (menard maranan)
Python sets (menard maranan)
Python dictionaries (menard maranan)
Python dictionaries (menard maranan)
Python nested lists (menard maranan)
Python nested lists (menard maranan)
Python lists (menard maranan)
Python lists (menard maranan)
Python data structures (menard maranan)
Python data structures (menard maranan)
Python string formatting (menard maranan)
Python string formatting (menard maranan)
Python comments (menard maranan)
Python comments (menard maranan)
Slides python booleans (menard maranan)
Slides python booleans (menard maranan)
Slides python numbers (menard maranan)
Slides python numbers (menard maranan)
Recently uploaded
Quantum computers are rapidly evolving and are promising significant advantages in domains like machine learning or optimization, to name but a few areas. In this keynote we sketch the underpinnings of quantum computing, show some of the inherent advantages, highlight some application areas, and show how quantum applications are built.
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
WSO2
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Mobile accessibility can be a very difficult space to navigate. Let's make it easier to dive right in! From common terms, breakdown of application accessibility, and building up accessibility on mobile development teams, this session will help build the foundation to ensure your mobile applications are accessible.
Simplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptx
MarkSteadman7
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Zilliz
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
UXPA Boston presentation by Leigh Ann Caulfield and Caitlin Gebhard, BORN Group.
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
caitlingebhard1
Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Orbitshub
Are you interested to learn how technology can help to optimise the performance of commercial buildings on the route to net-zero? Join us to uncover how our digital twin technology can be utilised by building owners and occupiers to optimise operational building performance and improve energy efficiency before and after implementing net-zero retrofit measures.
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
IES VE
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J. Tortora, Verified Chapters 1 - 29, Complete Newest Version.
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
rightmanforbloodline
Six common myths about ontology engineering, knowledge graphs, and knowledge representation.
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
johnbeverley2021
Workshop Build With AI - Google Developers Group Rio Verde
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
This Slide deck talk about how FHIR is being used in Ayushman Bharat Digital Mission (ABDM). It introduces the readers to ABDM and also to FHIR Documents paradigm. This is part of FHIR India community Basics learning initiative.
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
Kumar Satyam
At its core, the challenge of managing Human Resources data is an integration challenge: estimates range from 2-3 HR systems in use at a typical SMB, up to a few dozen systems implemented amongst enterprise HR departments, and these systems seldom integrate seamlessly between themselves. Providing a multi-tenant, cloud-native solution to integrate these hundreds of HR-related systems, normalize their disparate data models and then render that consolidated information for stakeholder decision making has been a substantial undertaking, but one significantly eased by leveraging Ballerina. In this session, we’ll cover: The overall software architecture for VHR’s Cloud Data Platform Critical decision points leading to adoption of Ballerina for the CDP Ballerina’s role in multiple evolutionary steps to the current architecture Roadmap for the CDP architecture and plans for Ballerina WSO2’s partnership in bringing continual success for the CD
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
WSO2
Recently uploaded
(20)
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
Architecting Cloud Native Applications
Architecting Cloud Native Applications
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Simplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptx
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Python indexing (menard maranan)
1.
Indexing Python Tutorial by Menard
Maranan
2.
“Indexing” XIndexing What is index? >>>Index
in Python refers to the position of an “Iterable”. >>>Index position starts from the position ZERO ‘0’
3.
“Indexing” XIndexing EXAMPLE: Let’s take this
string: “Hello” >>>Index Positioning works like: “|H|e|l|l|o|”
4.
“Indexing” XIndexing EXAMPLE: “|H|e|l|l|o|” >>>The slices represents
an index position, and it starts from Index Position ZERO
5.
“Indexing” XIndexing EXAMPLE: “|H|e|l|l|o|” >>>You can call
an Index Position and get the value it holds using Square Brackets []
6.
“Indexing” XIndexing EXAMPLE: “|H|e|l|l|o|” >>>To call the
letter “e”, just refer to the index position 1, since indexing starts from ZERO
7.
“Indexing” XIndexing EXAMPLE: message = “|H|e|l|l|o|” >>>That’s
why you can print the “e” by typing: print(message[1])
8.
“Indexing” XIndexing LET’S TRY IT !!! 🐍 🐍
Download now