Python is an object-oriented programming language with simple, clear syntax and rich and powerful class libraries. Python is a great choice for novice programmers.
Tools/Materials
Python Pre-study preparation
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It is essential to learn any language, choose an operating system, and build a development environment. Learning Python, the Linux system is recommended here, the Linux platform is generally configured with a good Python development platform, install the system can write programs. If you choose Windows, you should download and configure your Python development environment yourself. "Choice of development environment"
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Choose a book that focuses on brain learning, where head first Python is recommended, which is one of the most important books I've ever read about brain learning, and it's great for beginners to get started. Books
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You should do it when you study.
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Read the book about Python carefully, remember the heart is not as bad as the different, must make notes, after review notes. The exercises given in the book must be done, and strive to understand them all. Some practice code in the book, you must debug it, know why. "Reading Practice"
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Everyday coding is essential, since choosing to learn to program, learning Python, sticking to coding should be done. Without code accumulation, it is almost impossible to write high-quality code. "Stick to the Code"
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After writing a lot of basic code, you can go to the major Python-related websites to read other people's code, read more people is also to improve their coding level is a good way, at the same time, have their own code to share to others to read, while communicating with each other to promote. "Read Code Share Code"
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You should do it when you're small and successful.
Join some open source organizations, participate in some open source projects, for the development of Python to do a modest effort to contribute to open source.
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Precautions
- Python is a very easy to get started programming language, I hope you can learn something, adhere to very important, really.
Python Books recommended Two