Jim Sanders

Jim Sanders

1627561752

Blockchain Programming with Python | Basic Tips

Whether you are developing a bitcoin or cryptocurrency website, Python could be a primary framework for dealing with blockchain. Find out how in this lesson.

Blockchain is the next big thing that is presumed to take the world to a whirl. Why? Because we already see it flourish well through Bitcoins and other cryptocurrencies. Through blockchain, two parties can do transactions between themselves without the need for a mediator. Blockchain uses the method of Public-key cryptography, which encrypts the data so that users can freely share data. 

It also means blockchain uses Asymmetric cryptography that uses authentication so that the private key holder gets an authentication message. In encryption, only the holder of the paired private key will be able to decode the messages. However, to make all these systems work, you need a good programming language. And Python is the one that can correctly deal with a Blockchain-based project. But do you know why? Well, here’s why, check it out!

 

Too Advanced and Easily Learnable

In the current year, Python is constantly developing and earning a humongous amount of acclamation by developers. The language has garnered a considerable amount of stability and reliability because it is backed by a more prominent and proactive developers’ community, who strive day and night to make things work seamlessly. And, all of this has credited Python to achieve great persistence. 

As previously mentioned, Python has a huge supporter base, and due to that, it is guaranteed to survive for a more extended period. Thus, you need not worry that your development project will be constructed on something that is entirely obsolete. Even the learning time required to master Python is less. This helps developers to learn it quickly in lesser time and also lets lesser proficient newbie developers contribute to the projects. 

 

Minimalistic and Straightforward by Nature

Minimalization of things is what Python most centers about. Amongst the several features that Python has about simplicity, white spaces are one of them. The white areas refer to the code blocks, and developers don’t have to break a sweat by adding wavy brackets or any keyword. Thus, with Python, developers don’t need to write down colossal code to add to the blockchain. 

 

Highly Popular Language Right Now

As once discussed above, Python is tremendously popular these days, and this popularity indeed benefits in executing a blockchain-related project. According to the TIOBE index, Python has secured the third position in the list of programming languages. Therefore, python development agencies are blooming with this success. 

This will help you build and end your project smoothly, as the developer's team is truly vast, and several other professionals in this field have already excelled in producing worthwhile projects in the past. The language is heavily popular, which will let your team gather further knowledge about things from the developers.

 

Efficiently Run in an Uncompiled or Compiled Mode

Developers become more contented with the Python language, as they don’t have to compile every code like that in C++ to make the machine understand. 

In many cases, the software, even after being rolled out in public, is smashed with several bugs, so fixing them is not easy for compiled languages like C++. In those cases, you have to manually cease the application, traverse back to the original code, make a fixation of the said bug, perform recompilation of the code, and start the application again.

While in Python, all you have to do is fix the bug and restart the software or application. There is no need to recompile each code. And, this gives a considerable advantage in developing a blockchain project.

The scripting language’s performance might get affected if you translate the code randomly. To remedy such issues, Python came up with techniques like pre-compilation of code that speed up the method. 

 

Offers Free Packages for Developing Blockchain Projects

Blockchain-based projects get further advantage when Python offers the developers a free collection of packages that help them to write codes at ease. 

 

Other Advantages of Python in Blockchain

- A simple blockchain can be created with less than 50 lines with the help of Python.

- This programming is immaculate and clutter-free.

- It has a vast collection of libraries already available.  

- With Python, one can put in a single comment and make several functions to work seamlessly

- Be it building blocks with relevant information or joining them, it is much easier with Python.

- The language checkmarks the features that a developer needs like it is versatile and speedy.

- Anyone will be able to add on to the chain without making the transactions process in parallel.

 

Ways to Build a Blockchain Project in Python

Here are given the ways how you can develop blockchain using Python.

1. The first step is to download and install the Blockchain runtime environment and then use the packages you need for building your custom Python runtime. After that, create a REST API for exposing blockchain and testing it out.

2. Create the first block. You can use JSON format to store data in each particular block. Data blocks will look as given below. 

 

{   
"author": "author_name",

"timestamp": "transaction_time", 

"data": "transaction_data"

}

 

3. Next in the list is coding the blockchain, creating a new class for the blockchain. Try to include the hash of the preceding block within the current block.  The entire chain’s integrity is preserved by putting data within each block. Therefore, this is why including the previous_hash variable in the block class is needed. To initialize the blockchain, you can also include create_genesis_blockmethod

So, to keep track of each block, you need to include an initial block that comes with an index of 0 and has a previous hash of 0 in the list chain.

4. You can also involve a proof-of-work system, which means that a person has modified previous blocks and needs to redo the league's task and other following blocks. The proof-of-work system needs perusing for a value that starts with zero bits hash, a nonce value. 

The difficulty is, therefore, the number of leading zero bit. The average work needed to develop a block exponentially increases with the number of leading zero bits. This process will increase the difficulty level for users to modify previous blocks.

5. To make all the statements work, you need to build an interface that allows multiple users to interact. It would help if you had a web application framework that works well with Python. In that case, you need to define your web application and develop a local blockchain. So, to make a query in it, you need to utilize the blockchain application in the command prompt by running python3 Blockchain.py. It will bring several different outputs that you need to tweak, change, edit, etc. And finally, you can take advantage of the mining function. 

 

Conclusion

There are also languages like Python that provide certain features similar to Python. But some exclusive features let Python edge away from its competitors in terms of facilitating blockchain servicesand that’s what makes Python ace in this technologyWhether you are developing a bitcoin or cryptocurrency website, Python could be a primary framework for blockchain and makes the functionality even better with less effort.

Source: https://cryptodetail.com/python-blockchain

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Blockchain Programming with Python | Basic Tips
August  Larson

August Larson

1624930726

Automating WhatsApp Web with Alright and Python

Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.

Why Alright?

I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:

  1. pywhatkit
  2. pywhatsapp
  3. PyWhatsapp
  4. WebWhatsapp-Wrapper

So I tried

pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.

I then tried

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.

I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.

PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.

So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.

#python #python-programming #python-tutorials #python-programming-lists #selenium #python-dev-tips #python-developers #programming #web-monetization

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Python Tips and Tricks for Competitive Programming

Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:

  • **Converting a number into a List of digits using map() Function: **

Below is the implementation to convert a given number into a list of digits:

#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind

1602666000

How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.

Intro

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips