Ben Taylor

Ben Taylor

1666405020

Top 10 Tokens on Binance Launchpool

Binance Launchpool was created in September 2020, during the rise of decentralized finance (DeFi) in crypto, when new crypto-financial services allowed users to stake their crypto assets to provide funds into a liquidity pool and get rewards in return.

☞ Visit Binance Launchpool 

This is a process known as yield farming. By combining the best practices of DeFi with the security and convenience of a centralized exchange like Binance, Launchpool essentially allows users to farm new assets and users will be able to acquire new token rewards in return for staking BNB, BUSD, and other tokens, at no cost. 

In this article you will see Top 10 Tokens on Binance Launchpool by Volume, date: 22/10/2022

1. Unifi Protocol DAO (UNFI)

DescribeWebsiteExchange

Unifi Protocol is a revolutionary approach to blockchain economics. The concept is simple - the network will use a stablecoin as its gas token to remove transaction volatility and inflation. The project aims to create the next class of blockchain, built on the principle of economic sustainability. Building a blockchain, not another cryptocurrency.

Unifi Protocol DAO is on a mission to make blockchain a solution to modern finance by building a sustainable blockchain economy predictable enough to run a business on.

Unifi Protocol DAO has been retooling blockchain economics with their innovative solutions since 2018. These include products such as a wrapperless cross-chain bridge (uBridge), a multi-chain AMM (uTrade) complete with advanced DeFi arbitrage strategies (DARBi), and a fully collateralized token integrated throughout the ecosystem ($UP).

UNFI is the governance token for Unifi Protocol DAO. UNFI holders have exclusive rights to propose and participate in referendums Who Are the Founders of Unifi Protocol DAO? The Unifi Protocol DAO was founded and created by an online staking community called Sesameseed.

Daniel Blanco is the lead developer of Unifi Protocol DAO. He has a solid background in information technologies and has worked for companies like Transparent CDN and Seedtag. He joined Unifi Protocol DAO full-time in October 2020. What Makes Unifi Protocol DAO Unique?

Unifi Protocol DAO believes blockchain technology has a crypto problem and is striving to flip the script on the industry and build a blockchain without creating a native gas token. Their plan is to re-think what a blockchain should be, such as ripping apart the core tenets of why gas tokens need to be inflationary commodities. Or how subsidizing validators with network inflation may not be the solution which allows true blockchain adoption and businesses to thrive. How Many Unifi Protocol DAO (UNFI) Coins Are There in Circulation? The total supply of UNFI tokens is 10,000,000. Currently, there are about 5,800,000 UNFI tokens in active circulation on the market.

As UNFI is a multi-chain governance token for Unifi Protocol Dao, it is critical to its core function that it be both as decentralized and multi-chain as possible. In support of these initiatives UNFI is available on many blockchains as a native asset with governance rights. In support of this token economy, the DAO currently supports the liquidity of the token on these blockchains with full details found in Dev docs on the Unifi Protocol website.

In addition to multi-chain support, UNFI has been distributed freely to both Launchpool participants on Binance and through staking initiatives on Ethereum.

How Is the Unifi Protocol Network Secured? Unifi Protocol is secured by a proof-of-stake (PoS) consensus mechanism. PoS relies on the fact that tokens are stakable to ensure the validity of nodes and secure the mining process. This means that nodes are selected based on their stake in the given token. Unlike the proof-of-work (PoW) consensus method used by cryptocurrencies like Bitcoin, PoS is extremely scalable and can offer more flexibility to project creators. Not only that, PoS does not require vast amounts of electrical and computing power to facilitate the mining process.

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2. Automata (ATA)

DescribeWebsiteExchange

Automata Network aims to be recognized as the go-to privacy service for DeFi and Web3 with its proposition of privacy middleware. It aims to fill a gap in the market by providing privacy-focused solutions that integrate with existing blockchain infrastructure in an intuitive, seamless manner. Its applications are built for Web3 purposes and include anonymous voting, miner extractable value (MEV) minimization, and do-not-track indexing. These allow users to transact safely, regain control of their identity, and offer better building blocks to developers with open-source code and APIs.

Its anonymous voting service is called Witness and offers low-cost, off-chain voting, on-chain execution based on the results and different levels of privacy, ranging from private to public, based on the protocol’s requirements. The solution supports Ethereum, Binance Smart Chain, and other Substrate-based EVM-compatible chains. Each of these functions can be used as standalone or together, e.g., if a project wants to use Witness as a signaling tool without on-chain execution.

Conveyor is Automata’s MEV minimization solution that is chain-agnostic and works seamlessly with DEXes like Uniswap. It ingests and outputs transactions in a determined order, thereby creating a front-running-free zone that removes the chaos of transaction reordering. Features include gasless trading, anti-front running, privacy on ordering, and integration with other DEXes.

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3. Shentu (CTK)

DescribeWebsiteExchange

Shentu Chain, a security-first, delegated proof-of-stake blockchain, for trustworthy execution of mission-critical applications, including DeFi, NFTs, and autonomous vehicles. Shentu Chain prioritizes cross-chain compatibility, built as a Cosmos Hub with full EVM and Hyperledger Burrow compatibility, as well as compatibility with eWASM and Ant Financial’s AntChain. Across protocols, blockchain projects can receive security insights with the Security Oracle, which provides real-time guards of on-chain transactions, identifying and flagging a wide range of malicious vulnerabilities before they occur. Depending on the level of the security score, audited blockchain projects of any protocol may be eligible for a ShentuShield membership, which is a flexible, decentralized reimbursement system for any crypto asset that is irretrievably lost or stolen due to security issues. ShentuShield memberships are open to all community members of these eligible blockchain projects, providing a safety net to holders of crypto assets in case anything unexpected happens.

Natively, projects can code in DeepSEA, a hyper-secure programming language supported by the Ethereum Foundation, Qtum Foundation, and IBM. DeepSEA works directly with the Shentu Virtual Machine (SVM), which is fully compatible with EVM. SVM innovatively exposes smart contract and blockchain security information, enabling unprecedented ways to access, check, and incorporate risk into the decisions of smart contracts. CTK is the native digital utility fuel of Shentu Chain, serving as the core utility for on-chain functionalities such as operating the Security Oracle and ShentuShield systems, paying gas consumption of Shentu Chain, and voting for governance decisions within the network.

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4. Bella Protocol (BEL)

DescribeWebsiteExchange

Bella Protocol is a platform that provides a suite of DeFi products designed to make crypto banking simpler and more accessible. The protocol aims to create a better user experience by eliminating the high fee and slow transaction issues that can affect some blockchain platforms — while simultaneously improving the user experience through its simplified DeFi smart portal.

Bella's smart pool feature allows users to access the best yields available in the DeFi market, while benefiting from nearly zero gas fees — since these are directly subsidized by the platform.

The project launched in September 2020 as the first project distributed via Binance’s Launchpool platform, and has secured investments from several prominent firms, including Arrington XRP Capital and Ledger Capital.

The protocol was built by the ARPA team, a blockchain-based layer 2 solution for privacy-preserving computation. The BEL token is an essential component of the Bella Protocol ecosystem and serves as both a reward token that allows holders to participate in the governance of the platform.

BEL can be used to farm fee rewards from the network, get exclusive discounts on Bella protocol products (such as its robo-advisor tool), and for earning staking rewards.

 

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5. Wing Finance (WING)

DescribeWebsiteExchange

Wing is a credit-based, decentralized platform designed for crypto-asset lending and cross-chain communication between decentralized finance (DeFi) projects. The project aims to make crypto lending services more inclusive through a credit evaluation module that removes the need for large collaterals. Wing is a decentralized autonomous organization (DAO) that allows users to take part in decision-making, product design and operations.

Wing uses decentralized governance coupled with a risk control mechanism to improve the relationships between creditors, borrowers and guarantors. This has led to an improvement in the number of and accessibility to DeFi projects utilizing the platform. One of the goals of Wing DAO is to solve the issue of over-collateralization that plagues the DeFi industry.

The platform allows for the creation of new blockchain projects and focuses its efforts on a decentralized and autonomous governing community. In response to the issues faced by other DeFi projects, Wing DAO has built a credit-based DeFi protocol that runs on the Ontology (ONT) blockchain. The protocol is fully controlled by the users and requires no third parties to confirm transactions.

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6. Kava Lend (HARD)

DescribeWebsiteExchange

Kava Lend is a decentralized money market built on the Kava Platform that enables the lending and borrowing of cross-chain assets. Kava Lend supports supply-side deposits for BTC, XRP, BNB, BUSD, and USDX. The platform will allow overcollateralized borrowing for supported assets.

The HARD Token

The HARD token is the native governance token of Kava Lend. All HARD tokens distributed as rewards are locked by a smart contract. Users that claim HARD tokens with longer vesting schedules will receive more tokens. The exact options for token redemptions are subject to governance voting.

The HARD token has the following use cases: * Liquidity mining rewards: the HARD token is awarded to users who deposit and/or borrow supported assets. * Governance voting: HARD token holders can participate in the evolution of Kava Lend through governance voting and earn HARD rewards in the process.

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7. BTC Standard Hashrate Token (BTCST)

DescribeWebsiteExchange

BTCST is a token collateralized by real Bitcoin mining power; by staking BTCST, holders can receive daily Bitcoin contributions that correspond to the staked mining power. As such, BTCST allows users to mine Bitcoin from inside the decentralized finance (DeFi) ecosystem.

BTCST tokens can only be issued when eligible miners choose to standardize and tokenize Bitcoin hashrate. This is why the project hasn’t had any private or public sale events. The total supply cap is determined by the sum of all BTCST tokens staked on the app.

BTCST is based on the BEP-20 standard. Snapshots of user balances and total pool balances are taken each hour in order to calculate user rewards. Each pool’s annual percentage yield (APY) and total balance are updated in real-time, and tokens can only be staked in one pool at a time. Users are allowed to unstake their funds at any time and participate in any of the other available pools.

BTCST is a cloud mining platform deployed on the Binance Smart Chain. It offers daily payouts that are executed by a decentralized application (DApp).

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8. Alpha Venture DAO (ALPHA)

DescribeWebsiteExchange

Alpha Venture DAO is a community of daring individuals who aspire to shape the future of Web3 and expand the Web3 ecosystem together with a network of Web3 industry leaders and Alpha community. Alpha Venture DAO aims to be a massive ecosystem of decentralized applications that capture value regardless of which chains or sectors dominate Web3 in the future. Alpha Venture DAO and ALPHA will be the gateway for the community to contribute meaningfully and "truly" own high-quality Web3 projects. If you believe in Web3 innovation, then Alpha Venture DAO is the place for you. ALPHA token is no longer a token for just one single product or project, but rather a proxy for Web3 innovation.

As a builder of Web3 products, with a track record of building the world’s first leveraged yield farming platform, Homora, as well as a track record of incubating billion-dollar projects, such as Beta Finance, pStake, and GuildFi, we offer builders tactical and strategic advice and an active and growing community of more than 100K Web3 users for builders, like you, to kickstart your project.

There are multiple things that are unique to building in Web3 from tokenomics to community building, and the industry keeps evolving at a breakneck pace making experience obsolete. By continuing to build products alongside you, we ensure our advice and community remain relevant for you across diverse circumstances. Hence, we are able to provide projects with a replicable playbook for building and launching projects and the real Web3 community of users from day 1.

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9. Venus (XVS)

DescribeWebsiteExchange

Venus is an algorithmic money market and synthetic stablecoin protocol launched exclusively on Binance Smart Chain (BSC).

The protocol introduces a simple-to-use crypto asset lending and borrowing solution to the decentralized finance (DeFi) ecosystem, enabling users to directly borrow against collateral at high speed while losing less to transaction fees. In addition, Venus allows users to mint VAI stablecoins on-demand within seconds by posting at least 200% collateral to the Venus smart contract.

VAI tokens are synthetic BEP-20 token assets that are pegged to the value of one U.S. dollar (USD), whereas XVS tokens are also BEP-20-based, but are instead used for governance of the Venus protocol, and can be used to vote on adjustments—including adding new collateral types, changing parameters and organizing product improvements.

The governance of the protocol is entirely controlled by XVS community members, since the Venus founders, team members and other advisors do have any XVS token allocations.

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Article data used by coinmarketcap


How to Buy tokens?

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase Coin/Token from the Binance exchange.

Read more: Top 20 coins, tokens on Binance Smart Chain

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What is GEEK

Buddha Community

Top 10 Tokens on Binance Launchpool

Lokesh Kumar

1603438098

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

You may also read more blogs mentioned below

How to Become a Salesforce Developer

Python VS R Programming

The Scope of Hadoop and Big Data in 2021

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Amara Sophi

Amara Sophi

1602666712

Binance Clone Script to Start a Crypto Exchange like Binance

Cryptocurrencies are the hot topic in recent days!! There are many startups and business entrepreneurs are emerging towards the crypto exchange solution business. There are many popular Cryptocurrency exchanges like Binance, LocalBitcoins, Coinbase, Paxful, Remitano, Wazirx, Poloniex etc, to buy and sell cryptocurrencies.

Binance exchange is the second largest decentralized crypto exchange/ trading platform. The Binance exchange platform offers multiple trading options and supports more than 45 cryptocurrencies like Bitcoin,Litecoin, USDT and more…

If you wish to create your own cryptocurrency exchange it is necessary to choose the best platform that is more suitable for your business.

To go head in the exchange script like Binance, obviously you need an expert advice to start your exchange/ trading business. You can easily launch your own platform in no time with an advanced Binance clone script.

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Binance Clone Script **

Binance Clone Script means a complete and well developed ready-made Website Clone Script with highly customizable and cutting-edge technology stacks.

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Mery tris

Mery tris

1624388400

10 COINS TO $10 MILLION! Top coins to GET RICH in April 2021. DO NOT MISS!!!

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📺 The video in this post was made by K Crypto
The origin of the article: https://www.youtube.com/watch?v=u0Cm8KqjDU4
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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Angelina roda

Angelina roda

1622138400

My Neighbour Alice Token 50X? Farming Alice Token on Binance Launchpool

In this video I talk about My Neighbour Alice Token and how to farm it on binance LaunchPad. Alice token will be available on binance and ethereum network and the project has NFT , Stacking and much more.
📺 The video in this post was made by Crypto Therapy
The origin of the article: https://www.youtube.com/watch?v=fl4wTRiLbys
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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How to Create Arrays in Python

In this tutorial, you'll know the basics of how to create arrays in Python using the array module. Learn how to use Python arrays. You'll see how to define them and the different methods commonly used for performing operations on them.

This tutorialvideo on 'Arrays in Python' will help you establish a strong hold on all the fundamentals in python programming language. Below are the topics covered in this video:  
1:15 What is an array?
2:53 Is python list same as an array?
3:48  How to create arrays in python?
7:19 Accessing array elements
9:59 Basic array operations
        - 10:33  Finding the length of an array
        - 11:44  Adding Elements
        - 15:06  Removing elements
        - 18:32  Array concatenation
       - 20:59  Slicing
       - 23:26  Looping  


Python Array Tutorial – Define, Index, Methods

In this article, you'll learn how to use Python arrays. You'll see how to define them and the different methods commonly used for performing operations on them.

The artcile covers arrays that you create by importing the array module. We won't cover NumPy arrays here.

Table of Contents

  1. Introduction to Arrays
    1. The differences between Lists and Arrays
    2. When to use arrays
  2. How to use arrays
    1. Define arrays
    2. Find the length of arrays
    3. Array indexing
    4. Search through arrays
    5. Loop through arrays
    6. Slice an array
  3. Array methods for performing operations
    1. Change an existing value
    2. Add a new value
    3. Remove a value
  4. Conclusion

Let's get started!

What are Python Arrays?

Arrays are a fundamental data structure, and an important part of most programming languages. In Python, they are containers which are able to store more than one item at the same time.

Specifically, they are an ordered collection of elements with every value being of the same data type. That is the most important thing to remember about Python arrays - the fact that they can only hold a sequence of multiple items that are of the same type.

What's the Difference between Python Lists and Python Arrays?

Lists are one of the most common data structures in Python, and a core part of the language.

Lists and arrays behave similarly.

Just like arrays, lists are an ordered sequence of elements.

They are also mutable and not fixed in size, which means they can grow and shrink throughout the life of the program. Items can be added and removed, making them very flexible to work with.

However, lists and arrays are not the same thing.

Lists store items that are of various data types. This means that a list can contain integers, floating point numbers, strings, or any other Python data type, at the same time. That is not the case with arrays.

As mentioned in the section above, arrays store only items that are of the same single data type. There are arrays that contain only integers, or only floating point numbers, or only any other Python data type you want to use.

When to Use Python Arrays

Lists are built into the Python programming language, whereas arrays aren't. Arrays are not a built-in data structure, and therefore need to be imported via the array module in order to be used.

Arrays of the array module are a thin wrapper over C arrays, and are useful when you want to work with homogeneous data.

They are also more compact and take up less memory and space which makes them more size efficient compared to lists.

If you want to perform mathematical calculations, then you should use NumPy arrays by importing the NumPy package. Besides that, you should just use Python arrays when you really need to, as lists work in a similar way and are more flexible to work with.

How to Use Arrays in Python

In order to create Python arrays, you'll first have to import the array module which contains all the necassary functions.

There are three ways you can import the array module:

  • By using import array at the top of the file. This includes the module array. You would then go on to create an array using array.array().
import array

#how you would create an array
array.array()
  • Instead of having to type array.array() all the time, you could use import array as arr at the top of the file, instead of import array alone. You would then create an array by typing arr.array(). The arr acts as an alias name, with the array constructor then immediately following it.
import array as arr

#how you would create an array
arr.array()
  • Lastly, you could also use from array import *, with * importing all the functionalities available. You would then create an array by writing the array() constructor alone.
from array import *

#how you would create an array
array()

How to Define Arrays in Python

Once you've imported the array module, you can then go on to define a Python array.

The general syntax for creating an array looks like this:

variable_name = array(typecode,[elements])

Let's break it down:

  • variable_name would be the name of the array.
  • The typecode specifies what kind of elements would be stored in the array. Whether it would be an array of integers, an array of floats or an array of any other Python data type. Remember that all elements should be of the same data type.
  • Inside square brackets you mention the elements that would be stored in the array, with each element being separated by a comma. You can also create an empty array by just writing variable_name = array(typecode) alone, without any elements.

Below is a typecode table, with the different typecodes that can be used with the different data types when defining Python arrays:

TYPECODEC TYPEPYTHON TYPESIZE
'b'signed charint1
'B'unsigned charint1
'u'wchar_tUnicode character2
'h'signed shortint2
'H'unsigned shortint2
'i'signed intint2
'I'unsigned intint2
'l'signed longint4
'L'unsigned longint4
'q'signed long longint8
'Q'unsigned long longint8
'f'floatfloat4
'd'doublefloat8

Tying everything together, here is an example of how you would define an array in Python:

import array as arr 

numbers = arr.array('i',[10,20,30])


print(numbers)

#output

#array('i', [10, 20, 30])

Let's break it down:

  • First we included the array module, in this case with import array as arr .
  • Then, we created a numbers array.
  • We used arr.array() because of import array as arr .
  • Inside the array() constructor, we first included i, for signed integer. Signed integer means that the array can include positive and negative values. Unsigned integer, with H for example, would mean that no negative values are allowed.
  • Lastly, we included the values to be stored in the array in square brackets.

Keep in mind that if you tried to include values that were not of i typecode, meaning they were not integer values, you would get an error:

import array as arr 

numbers = arr.array('i',[10.0,20,30])


print(numbers)

#output

#Traceback (most recent call last):
# File "/Users/dionysialemonaki/python_articles/demo.py", line 14, in <module>
#   numbers = arr.array('i',[10.0,20,30])
#TypeError: 'float' object cannot be interpreted as an integer

In the example above, I tried to include a floating point number in the array. I got an error because this is meant to be an integer array only.

Another way to create an array is the following:

from array import *

#an array of floating point values
numbers = array('d',[10.0,20.0,30.0])

print(numbers)

#output

#array('d', [10.0, 20.0, 30.0])

The example above imported the array module via from array import * and created an array numbers of float data type. This means that it holds only floating point numbers, which is specified with the 'd' typecode.

How to Find the Length of an Array in Python

To find out the exact number of elements contained in an array, use the built-in len() method.

It will return the integer number that is equal to the total number of elements in the array you specify.

import array as arr 

numbers = arr.array('i',[10,20,30])


print(len(numbers))

#output
# 3

In the example above, the array contained three elements – 10, 20, 30 – so the length of numbers is 3.

Array Indexing and How to Access Individual Items in an Array in Python

Each item in an array has a specific address. Individual items are accessed by referencing their index number.

Indexing in Python, and in all programming languages and computing in general, starts at 0. It is important to remember that counting starts at 0 and not at 1.

To access an element, you first write the name of the array followed by square brackets. Inside the square brackets you include the item's index number.

The general syntax would look something like this:

array_name[index_value_of_item]

Here is how you would access each individual element in an array:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers[0]) # gets the 1st element
print(numbers[1]) # gets the 2nd element
print(numbers[2]) # gets the 3rd element

#output

#10
#20
#30

Remember that the index value of the last element of an array is always one less than the length of the array. Where n is the length of the array, n - 1 will be the index value of the last item.

Note that you can also access each individual element using negative indexing.

With negative indexing, the last element would have an index of -1, the second to last element would have an index of -2, and so on.

Here is how you would get each item in an array using that method:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers[-1]) #gets last item
print(numbers[-2]) #gets second to last item
print(numbers[-3]) #gets first item
 
#output

#30
#20
#10

How to Search Through an Array in Python

You can find out an element's index number by using the index() method.

You pass the value of the element being searched as the argument to the method, and the element's index number is returned.

import array as arr 

numbers = arr.array('i',[10,20,30])

#search for the index of the value 10
print(numbers.index(10))

#output

#0

If there is more than one element with the same value, the index of the first instance of the value will be returned:

import array as arr 


numbers = arr.array('i',[10,20,30,10,20,30])

#search for the index of the value 10
#will return the index number of the first instance of the value 10
print(numbers.index(10))

#output

#0

How to Loop through an Array in Python

You've seen how to access each individual element in an array and print it out on its own.

You've also seen how to print the array, using the print() method. That method gives the following result:

import array as arr 

numbers = arr.array('i',[10,20,30])

print(numbers)

#output

#array('i', [10, 20, 30])

What if you want to print each value one by one?

This is where a loop comes in handy. You can loop through the array and print out each value, one-by-one, with each loop iteration.

For this you can use a simple for loop:

import array as arr 

numbers = arr.array('i',[10,20,30])

for number in numbers:
    print(number)
    
#output
#10
#20
#30

You could also use the range() function, and pass the len() method as its parameter. This would give the same result as above:

import array as arr  

values = arr.array('i',[10,20,30])

#prints each individual value in the array
for value in range(len(values)):
    print(values[value])

#output

#10
#20
#30

How to Slice an Array in Python

To access a specific range of values inside the array, use the slicing operator, which is a colon :.

When using the slicing operator and you only include one value, the counting starts from 0 by default. It gets the first item, and goes up to but not including the index number you specify.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#get the values 10 and 20 only
print(numbers[:2])  #first to second position

#output

#array('i', [10, 20])

When you pass two numbers as arguments, you specify a range of numbers. In this case, the counting starts at the position of the first number in the range, and up to but not including the second one:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])


#get the values 20 and 30 only
print(numbers[1:3]) #second to third position

#output

#rray('i', [20, 30])

Methods For Performing Operations on Arrays in Python

Arrays are mutable, which means they are changeable. You can change the value of the different items, add new ones, or remove any you don't want in your program anymore.

Let's see some of the most commonly used methods which are used for performing operations on arrays.

How to Change the Value of an Item in an Array

You can change the value of a specific element by speficying its position and assigning it a new value:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#change the first element
#change it from having a value of 10 to having a value of 40
numbers[0] = 40

print(numbers)

#output

#array('i', [40, 20, 30])

How to Add a New Value to an Array

To add one single value at the end of an array, use the append() method:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 to the end of numbers
numbers.append(40)

print(numbers)

#output

#array('i', [10, 20, 30, 40])

Be aware that the new item you add needs to be the same data type as the rest of the items in the array.

Look what happens when I try to add a float to an array of integers:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 to the end of numbers
numbers.append(40.0)

print(numbers)

#output

#Traceback (most recent call last):
#  File "/Users/dionysialemonaki/python_articles/demo.py", line 19, in <module>
#   numbers.append(40.0)
#TypeError: 'float' object cannot be interpreted as an integer

But what if you want to add more than one value to the end an array?

Use the extend() method, which takes an iterable (such as a list of items) as an argument. Again, make sure that the new items are all the same data type.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integers 40,50,60 to the end of numbers
#The numbers need to be enclosed in square brackets

numbers.extend([40,50,60])

print(numbers)

#output

#array('i', [10, 20, 30, 40, 50, 60])

And what if you don't want to add an item to the end of an array? Use the insert() method, to add an item at a specific position.

The insert() function takes two arguments: the index number of the position the new element will be inserted, and the value of the new element.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

#add the integer 40 in the first position
#remember indexing starts at 0

numbers.insert(0,40)

print(numbers)

#output

#array('i', [40, 10, 20, 30])

How to Remove a Value from an Array

To remove an element from an array, use the remove() method and include the value as an argument to the method.

import array as arr 

#original array
numbers = arr.array('i',[10,20,30])

numbers.remove(10)

print(numbers)

#output

#array('i', [20, 30])

With remove(), only the first instance of the value you pass as an argument will be removed.

See what happens when there are more than one identical values:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30,10,20])

numbers.remove(10)

print(numbers)

#output

#array('i', [20, 30, 10, 20])

Only the first occurence of 10 is removed.

You can also use the pop() method, and specify the position of the element to be removed:

import array as arr 

#original array
numbers = arr.array('i',[10,20,30,10,20])

#remove the first instance of 10
numbers.pop(0)

print(numbers)

#output

#array('i', [20, 30, 10, 20])

Conclusion

And there you have it - you now know the basics of how to create arrays in Python using the array module. Hopefully you found this guide helpful.

Thanks for reading and happy coding!

#python #programming