区块链 python项目,python区块链开发书籍

区块链是一种新型的数据存储技术，它可以将数据分布在网络上的节点中，形成一个分布式的数据库。它具有去中心化、不可篡改、安全可靠等特点，广泛应用于金融、智能合约等领域。Python是一种跨平台的高级编程语言，它具有简单易学、功能强大等特点，是区块链开发中最常用的编程语言。Python项目是基于Python语言开发的区块链应用，它可以帮助开发者快速搭建和部署区块链应用。Python区块链开发书籍是专门为开发者准备的区块链开发书籍，它可以帮助开发者深入了解Python开发区块链的基础知识，以及如何利用Python语言开发区块链应用。

首先，让我们来了解一下区块链。区块链是一种分布式账本技术，它可以将数据分布在网络上的节点中，形成一个分布式的数据库。它具有去中心化、不可篡改、安全可靠等特点，广泛应用于金融、智能合约等领域。

其次，让我们来了解一下Python。Python是一种跨平台的高级编程语言，它具有简单易学、功能强大等特点，是区块链开发中最常用的编程语言。Python语言提供了一些专门用于区块链开发的库，如py-evm、eth-utils、web3.py等，可以帮助开发者更加方便地开发区块链应用。

最后，让我们来了解一下Python项目。Python项目是基于Python语言开发的区块链应用，它可以帮助开发者快速搭建和部署区块链应用。Python项目的核心是区块链技术，它可以帮助开发者更好地理解区块链技术，并且可以利用Python语言快速开发出一些基于区块链的应用。

最后，让我们来了解一下Python区块链开发书籍。Python区块链开发书籍是专门为开发者准备的区块链开发书籍，它可以帮助开发者深入了解Python开发区块链的基础知识，以及如何利用Python语言开发区块链应用。这些书籍通常会介绍Python的基础知识，以及如何使用Python语言开发区块链应用。此外，这些书籍还会介绍如何使用Python语言搭建区块链应用的基础架构，以及如何使用Python语言实现智能合约等功能。

① Introduction to blockchain technology, which programming languages ​​are involved

Go language

Go language (Golang) is a new language launched by Google in 2009 A programming language that reduces code complexity without sacrificing application performance. Rob Pike, chief software engineer at Google, said: "We developed Go because the difficulty of software development over the past 10 years or so has been frustrating."

In addition to Bitcoin being developed in C, At present, the clients of most mainstream workshops are developed with Go language, which is enough to show the status of Go language in the entire blockchain industry.

C

C further expands and improves the C language and is an object-oriented programming language. C runs on a variety of platforms, such as Windows, MAC operating systems, and various versions of UNIX. C is a very widely used computer programming language. It is a general programming language that supports multiple programming patterns, such as procedural programming, data abstraction, object-oriented programming, generic programming, and design patterns.

Most blockchain companies choose to use C to write the bottom layer of the blockchain. The most famous ones are Bitcoin, Ripple, etc., which mainly reflect strong computation.

Java

Java is different from general compiled languages ​​or interpreted languages. It first compiles the source code into bytecode, and then relies on virtual machines on various platforms to interpret and execute the bytecode, thereby achieving the cross-platform feature of "write once, run anywhere". The development of blockchain projects has obvious dependence on Java.

Others include Python, system architecture, Ethereum, Linux, hyperledger, JavaScript, etc. will be covered.

② Can Python do blockchain?

Yes

A brief description of the principles of blockchain implementation

As a digital accounting technology, the core of blockchain technology is to record the blocks that store transaction data in an encrypted manner in chronological order. The blockchain itself is a public database. The system stores newly born business data in containers called blocks, and adds the block to the chain composed of existing blocks. It's a bit like a greedy snake. The more blocks it eats, the longer the snake's body is. In the application scenario of Bitcoin, these data are a set of transfer transaction records. In the application scenario of shared bicycles, these data can be transaction records of borrowing and returning bicycles.

Simple implementation code of blockchain

In the above code, the data structure stored in the core of the blockchain is a list, through
The new blocks generated by new_block() are continuously added to the end of the blockchain. The Has of each blockThe h value contains all the data information of the block. In the process of calculating the Hash
value, the Hash
value of the previous block needs to be referenced, thus achieving tamper-proofing. The greatest value of the blockchain database is this highly tamper-proof trusted calculation. This is successfully demonstrated in our simple blockchain implementation. In commercial-grade blockchain applications, the process of creating new blocks is called smart contracts, and the blockchain continues to grow through smart contracts.

The following is the running result of the code. The running results are different at different times.

Operating results

③ How to learn Python

1. Be determined
To do anything, you must first Only with enough determination and persistence can you do things well and learn Python well.
2. Diligent in doing things
When it comes to learning programming languages, don’t be too conceited. During the learning process, write down what you think of. On the one hand, it can cultivate the feeling of writing code, and on the other hand, it can deepen the knowledge. Take control.
3. A complete learning system
Comprehensive learning of the Python programming language requires a complete set of systematic learning materials and learning plans, a comprehensive grasp of the basic knowledge of Python, and the ability to solve problems in the Python programming process in the future. Very helpful!
4. Practical project training
The ultimate goal of learning basic knowledge of Python programming is to apply it to projects. Therefore, practical project training is essential. Do more projects, try to be fully functional projects, and form Project ideas are very beneficial for future project implementation!

④ Python Development Blockchain 03 How to Generate Bitcoin Address

Welcome to pay attention to the column "Blockchain"

In the demo of the first two sections, we After generating the private key and public key, we can then generate a bitcoin address.

Next we use the pubtoaddr function to generate a bitcoin address

A bitcoin address is a single user token. Just like we send and receive emails through email addresses, you can use bitcoin addresses to send and receive bitcoins. However, unlike email, each person can only use a unique address in each transaction

⑤ Python Development Blockchain 04 How to generate a multi-signature bitcoin address

Welcome to the column "Blockchain"

Multi-signature bitcoin address requires multiple private keys to generate. For example, we generate three private keys

my_multi_sig=mk_multisig_script(my_private_key1,my_private_key2,my_private_key3)
my_multi_address= scriptaddr(my_multi_sig)