1. Attitude towards demand
Good programmers: When there are requirements and tasks, they will constantly ask for requirements and tasks, and confirm the desired results several times before starting to write code.
General programmer: received a task on the head write code, anyway do wrong is also your requirements, not my pot.
2. Coding habits
A good programmer: His code is easy to read, and when there is an implementation point that is difficult to understand, he will write clear comments to help others understand.
General programmer: I have my code style, I can read it. I won’t understand it in a few months, so I’ll rewrite it.
Be a good learner
Excellent programmer: when he meets a technology he has never been exposed to, he will take the initiative to search for information to learn and study, and take it as a pleasure.
The average programmer: frantically looking for plug-ins, libraries, and frameworks, often working as a code porter, consoling himself not to build wheels.
4. Improve your work
Good programmers: Take the time to review their code and think about how to improve performance.
Average programmer: only like to develop new projects, don’t like to maintain old projects, in case of failure?
5. Have a research spirit
Good programmers: When encountering problems, they will consider seeking solutions independently to improve their ability to deal with problems.
Average programmer: likes to give problems to others, send code to others, let others find problems for him.
6. Good emotional management
Good programmers: understand that requirements are constantly changing, do not express negative emotions, can control emotions, and can communicate with product managers harmonically and happily.
General programmer: because the requirements repeatedly change simply say this code can not be implemented.
7. Be humble
Good programmers: Sensitive to new technologies, eager to learn, and humble, don’t think they’re awesome.
General programmer: afraid others don’t think he is a big ox, everywhere blind force force.
Follow public accounts
【 Pegasus Club 】
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From beginning to research, the 10 most Readable books in the field of artificial intelligence
RSVP number “2” machine learning & Data Science must-read classic book with resource pack!
Into AI & ML: Learning machine Learning from Basic Statistics (PDF download)
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Answer number “6” AI AI: 54 Industry Blockbuster Reports
TensorFlow Introduction, Installation tutorial, Image Recognition application (with installation package/guide)
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According to a 160-page McKinsey report, 800 million people around the world could lose their jobs to machines by 2030
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Ten years ago on This day on Machine Learning Projects.
Machine learning: How to go from beginner to Never Giving up? (With benefits)
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Reply number “26” introduction to artificial intelligence book list recommended, learn AI please collect well (attached PDF download)
Reply | digital “27” Wu En of Stanford CS230 deep learning course a full range of information release (download)
Reply number “28” Programmers who understand this technology are being snapped up by BAT… (Information pack included)
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FMI Artificial Intelligence and Big Data Summit Guest Speech PPT
Top 10 AI Jianghu Fields
Machine Learning Practical Experience Guide
More than 100 Papers on deep Learning
Top ten Classic Algorithms of Data Mining
6.10 Ele. me & Pegasus Project Management Practice PPT