I have been in the Internet industry for many years, is also currently with computer science intern, the main focus of research in the field of artificial intelligence and big data, I will continue to write some articles on the technical aspects of the Internet, interested friends can focus I believe It will be harvested.
Enhance programmer is also more dependent on the exchanges and cooperation development team, many developers because of the current task requires the cooperation of multiple roles is complete, so the individual in order to obtain technological breakthroughs, often also need to meet the team.
If the programmer's job is currently relatively simple task, but also have some of their own R & D infrastructure, we can consider participating in an open source project to enhance their programming skills, in fact, many programmers are currently in this way to learn and improve.
In fact, currently there are a lot of junior programmer implements research and development capabilities of the way through graduate school or job transfer it.
Start with the first point at the beginning of understanding how you can become a programmer.
Engaged in software development for many years, I want to do programmers need to grasp two points, the first point in the entry stage of the need to maintain enough patience, middle encountered a variety of grammar do not understand the details, including the suspect that he is not really suitable for programmers; the second point to continue studying to become a true force behind the programmers, programmers stop updating their knowledge base means the distance from this industry is not far off.
How to practice self-study is a very difficult thing to overcome, of course, is not, after all, can not get the timing of the code from the open source community, of course, leads from the code to get to the real practice, how many things can only be overcome to control themselves so out of self-learning ability of programmers stronger more staying.
In the present society need to be a programmer basically two ways, has been through self-study, one is through participation in training institutions, choose the second way is more and more people, a lot of people think that this is a social regress previous programmers rarely participate directly what training will be able to find a good job, and now it was hard, and not the opposite of social regression is the entire software industry, the threshold has improved, but also with a neutral and objective awareness training point of view, the purpose of training skills so that you may say more perfect, should participate in the future of many professional training before induction, which is kind of social progress that could ensure direct access to the workplace as soon as possible to adapt to the environment earliest propertied out.
Foreign websites, with no more than a country, but can recommend a few, after all foreign popularity of new technologies as well as aspects of reaction or a little faster than domestic.
Aware of their very unfamiliar subjects learned a decade ago, it is not a shameful thing.
Another recommendation of this title is "using Scikit-Learn and TensorFlow practical operation of machine learning: the concept of intelligent building systems, tools and techniques."
Joseph was a great instructor.
In modern society, it is equivalent to resume a career fair, and what school, what profession to learn.
Because the university has been a systematic study of computer knowledge, so the programmer Coban more complete knowledge system, to learn things faster.
Coban programmer like a pet breeder, the dog was smoked smoked, himself would think of myself as a dog.
Self-programming programmers seem to have contempt at the bottom of the chain, and computer science graduates, it seems that there is a natural sense of superiority.
Chaired or participated in open source projects, beautiful and fulfilling GitHub page, excellent Top Coder, it will be very brisk label.
After stepping on the tail of the 90 born in 1999, Yao and Zhang Qi Xuan Cang force sophomore this year, all from the Shanghai University of Science and Technology Information.
Team members subject born 1992-1995, Huang Zheng as a captain on the overall game program for the integration and analysis, Dr. shardan is the only teacher, provides a number of ideas for the team title race, theoretical analysis and calculation power support, and solutions identified the main title match, Zhang Dongyang offers a variety of basic network architecture, and a large number of tests, made an important contribution to determining the contest problems and solutions inspired by the final plan; Yang Zehao pre-test a large number of network structure, and a large number of experimental studies to improve and decline PI values were; Liu Hong Valley provides continuous operator support force, a variety of programs and team training for a long time has been optimized to generate a variety of optimal model.
Shardan, South China University of Technology graduate Huang Zheng, Master Liu Hong China University of Science and Technology Valley, Jiangxi University of Finance Zhang Dongyang graduate and graduate students from the South China Agricultural University Yang Zehao professional research assistant at the Army Academy of Armored Forces across image processing, artificial intelligence, network multiple directions security, networking and material processing, but because of the game, ask questions and ideas by each other and come together, work together to become a team-mate from the participating players, and play their role.
Born in 1994, from the School of Electronic Engineering, Xi'an University of Electronic Science and Technology, studied visual reconstruction of the political benefits to "Rainbow" in the name, single-handedly won AIinRTC2019 Innovation Challenge "super-resolution algorithm performance" Champion title match.