Ethereum or Python

1. From the perspective of currency, bitcoin is a real monetary system, with a fixed total amount (21 million), while ether coin is not fixed from the perspective of currency, and can be issued as needed, so there is no upper limit for ether coin. Bitcoin will continue to deflate in the long run, while ether, like the current legal currency system, will continue to inflate. So from the perspective of cryptocurrency itself, bitcoin will continue to increase in value, while ether may not (mainly depending on its circulation).

2. The mps() function performs the same serialization as the mp() function. Instead of accepting stream objects and saving serialized data to disk files, this function simply returns serialized data
the loads() function performs the same deserialization as the load() function. Instead of accepting a stream object and reading the serialized data from a file, it accepts the str object containing the serialized data and returns the object directly.

3. blockchain is a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies. The so-called consensus mechanism is a mathematical algorithm to establish trust and obtain interests between different nodes in the blockchain system
and Python is an object-oriented interpretive computer programming language
it's better to learn together without conflict. I think it's Python because it's a language that can do a lot of things.

4. There is no necessary connection between the two, one is dynamic scripting language, the other is ecosystem (including a lot of big data technology, spark Hadoop storm, etc.)
language is only the basis of technology, serving technology
it is recommended to learn java first, and then Python Scala has a solid foundation for learning big data
thank you

5. Entry is relatively simple, if which one is more simple, I think it's still front-end development

6. Python and the front end are good. It depends on whether you are for employment or for what
if you are looking for employment, Python is undoubtedly much better than the front-end. After all, Python is now at the top of the storm because of artificial intelligence. As the saying goes: pigs can take off when they stand on the wind
furthermore, python has a wide employment direction, which is not as narrow as the front end
Python can do web development automation operation and maintenance development automation test big data analysis crawler scientific computing machine learning artificial intelligence< So Python is better than the front end

7. Python as a high-level programming language, although its birth is very accidental, but it is the inevitable way to get the programmer's love. Python is easy to get started, compared with other languages, beginners are easy to get started. In addition, python also has the following advantages:
1. Simple: Python pursues brevity, easy to read and write, It allows you to focus on solving problems instead of understanding the language itself< Free: Python is open source software. This means that you can , read, and change it for nothing, and that's why Python is getting better and better - created and improved by a group of people who want to see a better python
3. Compatibility: Python is compatible with many platforms, so developers will not encounter the problems that they often encounter when using other languages
4. Object oriented: Python supports both process oriented and object-oriented programming. In process oriented programming, programmers reuse code. In object-oriented programming, objects based on data and functions are used< Rich libraries: Python standard libraries are really huge. It can help you deal with all kinds of work, including regular expressions, document generation, unit testing, threads, databases, web browsers, CGI, FTP, e-mail, XML, XML-RPC, HTML, WAV files, cryptography, GUI (graphical user interface), TK and other system related operations
6. Standard Code: Python uses forced indentation to make the code readable
7. Scalability and embeddability. If you need a piece of your key code to run faster or you want some algorithms to be private, you can write some of your programs in C or C + +, and then use them in your Python programs. You can embed Python in your C / C + + programs to provide scripting capabilities to your program users
compared with other programming languages, Python's learning intensity is generally acknowledged to be simple, and its foundation can be easily learned, and it has a good development prospect. It has been widely used in artificial intelligence, big data, cloud computing and other fields. At this stage, there is a shortage of talents, and the salary is generally higher than other programming languages. Therefore, it is a good choice for it transformation!

8. Today we are going to tell four stories about the python programming language to see why so many people choose python< If you want to be a programmer? Learn Python quickly
as a computer novice enthusiast, according to the feedback of our code over the years (yes, my code has soul), they prefer python, because Python is clean, simple and direct
Python is very fast in writing code, and pays great attention to the readability of the code, which is very suitable for projects involving many people
it has better reusability and easy maintenance than traditional script languages. Compared with the popular programming languages such as Java, C and C + +, python can also complete a function. The code written by Python is short and compact, and the development efficiency is several times that of other languages
so if you want to try to be a programmer, python will be an important choice< Do you want a high salary? Become a python programmer
in the 2016 developer salary study created by indeed.com and published by codementor.io, we found that the average salary of Python developers is $107000:
based on this study, swift, python, ruby, C + + and Java will make you more money (PHP is at the bottom)
as we can see, swift is followed by Python and Ruby: there are only two scripting languages in the first five
in the era of big data, it's understandable that Python ranks so high
in the future, given that Python is not only a general programming language, but also a scientific programming language, we will soon see that learning Python will get higher returns and earn more
3 Python is the future of AI and machine learning
python programming language is currently promoting the popularization of scientific programming, but this is not always the case
for many years, scholars and private researchers have been using MATLAB language for scientific research
all this is beginning to change with the release of Python numerical computing engines, such as numpy and SciPy, which allow complex calculations to be performed through a single "import" statement followed by a function call
slowly, but surely, python has begun to take over as the language of choice for computer science research
Python is the future of artificial intelligence
because of the flexibility of the language, its speed and the machine learning libraries (such as scikit learn, keras and tensorflow), we will continue to see Python dominate the field of machine learning
at this time, there is no doubt in my mind: if you have any interest in artificial intelligence or big data, you should learn python
4 if you want to learn web crawler and data analysis, but don't want to be a professional code farmer, just use python.
with the advent of the era of big data and artificial intelligence, more and more majors need not only their own professional knowledge, but also the skills of network collection and data analysis, because data has become a standard of value evaluation
because of travel data, Didi knows that you are a mountain climber
because of the communication data, China Mobile knows that you are very close to your parents
because of the shopping data, Alibaba knows that you are still single
behind all these conclusions, it can be said that it is the result of data mining. As a non professional sales and financial personnel, Python is undoubtedly the most suitable entry language for a data analysis experience
why
compared with Java and C + +, python seems to be more suitable for non computer people to learn data analysis, big data and artificial intelligence
because Python is a language that represents the idea of simplicity. Reading a good Python program is like reading English. It enables you to focus on solving problems instead of understanding the language itself.

9. Perl is camel and Python is python. You can Google Perl vs Python to get other people's opinions. Perl code is relatively obscure, and Python is now a standard configuration of Linux. Python is recommended, unless you want to maintain old code.