Allyson Ray

Allyson Ray

1633672392

How To List NFTs With Our Comprehensive Guide

Non-fungible tokens are unique digital assets that represent products that have the ability to be digitized, which includes both, tangible and intangible products. The most commonly traded NFTs are trading cards, digital artworks, image files, video clips, domain names, etc. These NFTs are traded on a platform called the NFT marketplace. This platform is built on blockchain technology. This technology provides absolute transparency and security to the NFTs that are being traded on the marketplace. Blockchain is being the prime reason for digital audiences to be completely submerged in this domain and enjoy extensive rewards. These rewards are gained by listing the non-fungible tokens effectively in the marketplace.

Features Of NFT

  • The primary virtue of NFTs is the ability to be unique. This is possible because of the authenticity of the ownership that is stored in the blockchain.
  • Non-fungible tokens are completely secured and transparent due to their integration with the blockchain network.
  • NFTs are easily tradeable among various marketplaces because of their uniqueness and scalability.

How To List NFTs?

  • The minted non-fungible token is stored in the crypto wallet.
  • The stored NFT is then initiated through the selling protocol.
  • The selling protocol lists the NFTs where they are completely visible to the buyers.
  • In the listing section, the NFT can be subjected to the fixed-rate mode or timed-auction mode.
  • In a fixed-rate mode, the price of the non-fungible token is fixed and cannot be changed.
  • In a timed auction mode, the NFT will be under an auction bid that lasts for days or even weeks.
  • Once the mode is selected, the monetization process for the NFT proceeds.

Conclusion

Non-fungible tokens have become the epitome of instant success in the digital world. Therefore, trading, buying, selling, listing NFT in this domain are highly beneficial for individuals and organizations. It is proven to generate high rewards and revenue.


 

What is GEEK

Buddha Community

Osiki  Douglas

Osiki Douglas

1622279504

List Comprehension

List comprehension is nothing but a shorter and crisper version of the code and also memory efficient. By using this we can either create a new list or perform some operation in an existing list.

The normal code for creating a list of 0–9 will be like

x=[]
for i in range (10):
x.append(i)
print(x)
[0,1,2,3,4,5,6,7,8,9]

By using list comprehension

x=[i for i in range(10)]
print(x)

[0,1,2,3,4,5,6,7,8,9]

As you can see the normal code is long but the code that we did using list comprehension does the job just in one line so list comprehension is preferred over the traditional method.

#list-comprehension #lists #python #python-list-comprehension

August  Larson

August Larson

1624429860

How to Convert Loops to List Comprehension in Python

Do the same but faster

List comprehension is used for creating lists based on iterables. It can also be described as representing for and if loops with a simpler and more appealing syntax. List comprehensions are relatively faster than for loops.

The syntax of a list comprehension is actually easy to understand. However, when it comes to complex and nested operations, it might get a little tricky to figure out how to structure a list comprehension.

In such cases, writing the loop version first makes it easier to write the code for the list comprehension. We will go over several examples that demonstrate how to convert a loop-wise syntax to a list comprehension.

Basic structure of list comprehension (image by author)

Let’s start with a simple example. We have a list of 5 integers and want to create a list that contains the squares of each item. Following is the for loop that performs this operation.

lst_a = [1, 2, 3, 4, 5]

lst_b = []
for i in lst_a:
   lst_b.append(i**2)
print(lst_b)
[1, 4, 9, 16, 25]

#python #programming #how to convert loops to list comprehension in python #convert loops #list comprehension #how to convert loops to list comprehension

HI Python

HI Python

1640973720

Beyonic API Python Example Using Flask, Django, FastAPI

Beyonic API Python Examples.

The beyonic APIs Docs Reference: https://apidocs.beyonic.com/

Discuss Beyonic API on slack

The Beyonic API is a representational state transfer, REST based application programming interface that lets you extend the Beyonic dashboard features into your application and systems, allowing you to build amazing payment experiences.

With the Beyonic API you can:

  • Receive and send money and prepaid airtime.
  • List currencies and networks supported by the Beyonic API.
  • Check whether a bank is supported by the Beyonic API.
  • View your account transactions history.
  • Add, retrieve, list, and update contacts to your Beyonic account.
  • Use webhooks to send notifications to URLs on your server that when specific events occur in your Beyonic account (e.g. payments).

Getting Help

For usage, general questions, and discussions the best place to go to is Beyhive Slack Community, also feel free to clone and edit this repository to meet your project, application or system requirements.

To start using the Beyonic Python API, you need to start by downloading the Beyonic API official Python client library and setting your secret key.

Install the Beyonic API Python Official client library

>>> pip install beyonic

Setting your secrete key.

To set the secrete key install the python-dotenv modeule, Python-dotenv is a Python module that allows you to specify environment variables in traditional UNIX-like “.env” (dot-env) file within your Python project directory, it helps us work with SECRETS and KEYS without exposing them to the outside world, and keep them safe during development too.

Installing python-dotenv modeule

>>> pip install python-dotenv

Creating a .env file to keep our secrete keys.

>>> touch .env

Inside your .env file specify the Beyonic API Token .

.env file

BEYONIC_ACCESS_KEY = "enter your API "

You will get your API Token by clicking your user name on the bottom left of the left sidebar menu in the Beyonic web portal and selecting ‘Manage my account’ from the dropdown menu. The API Token is shown at the very bottom of the page.

getExamples.py

import os 
import beyonic
from dotenv import load_dotenv 

load_dotenv()

myapi = os.environ['BEYONIC_ACCESS_KEY']

beyonic.api_key = myapi 

# Listing account: Working. 
accounts = beyonic.Account.list() 
print(accounts)


#Listing currencies: Not working yet.
'''
supported_currencies = beyonic.Currency.list()
print(supported_currencies)

Supported currencies are: USD, UGX, KES, BXC, GHS, TZS, RWF, ZMW, MWK, BIF, EUR, XAF, GNF, XOF, XOF
'''

#Listing networks: Not working yet.
"""
networks = beyonic.Network.list()
print(networks)
"""

#Listing transactions: Working. 
transactions = beyonic.Transaction.list()
print(transactions) 

#Listing contact: Working. 
mycontacts = beyonic.Contact.list() 
print(mycontacts) 


#Listing events: Not working yet.
'''
events = beyonic.Event.list()
print(events)

Error: AttributeError: module 'beyonic' has no attribute 'Event'
'''

Docker file

FROM python:3.8-slim-buster

COPY . .

COPY ./requirements.txt ./requirements.txt

WORKDIR .

RUN pip install -r requirements.txt

CMD [ "python3", "getExamples.py" ]

Build docker image called demo

>>> docker build -t bey .

Run docker image called demo

>>>docker run -t -i bey 

Now, I’ll create a Docker compose file to run a Docker container using the Docker image we just created.


version: "3.6"
services:
  app:
    build: .
    command: python getExamples.py
    volumes:
      - .:/pythonBeyonicExamples

Now we are going to run the following command from the same directory where the docker-compose.yml file is located. The docker compose up command will start and run the entire app.


docker compose up

Output

NB: The screenshot below might differ according to your account deatils and your transcations in deatils.

docker compose up preview

To stop the container running on daemon mode use the below command.

docker compose stop

Output

docker compose preview

Contributing to this repository. All contributions, bug reports, bug fixes, enhancements, and ideas are welcome, You can get in touch with me on twitter @HarunMbaabu.

Download Details:
Author: HarunMbaabu
Source Code: https://github.com/HarunMbaabu/BeyonicAPI-Python-Examples
License: 

#api #python #flask #django #fastapi 

Ray  Patel

Ray Patel

1623032462

Python’s List Comprehensions

Lists are Python Data structures that are used to store multiple elements in a single variable. List comprehension is a more simple way to define and create a list in python, lists can be created in one line.

The syntax of list comprehension is easier to grasp as well.

The structure of a List comprehension program is below:

  • An expression, which will be the output list
  • An Input sequence
  • A variable representing a member of the input sequence and
  • An optional predicate part, where we can define our conditional statements

There can be multiple ways of performing a task in any programming language, similarly with python list comprehensions as well.

In my article we will straightaway not use list comprehension but will study the concept in a relational way, comparing it with loops, and then conclude the study, as I personally found this way a lot easier to understand.

Syntax of List Comprehension:

[expression for in ]

#competitive-programming #python #python3 #programming #list comprehensions #python’s list comprehensions

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