ython popular global language, has become the world's top ranked programming language, the number of users more than ten million, entry 30% IT newcomers are learning Python. Python programming straightforward, more suitable for novice programmers, beginners to focus on programming logic, rather than confused on obscure syntax details.
Python is a popular mainstream American University of introductory programming language, since its inception has been 25 years. Compared to other languages, it is more easy to learn, easy to read, very suitable for rapid development.
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Python has a lot of advantages:
1. python community has a huge library, almost can solve most problems, the same question, and even several different solutions to choose.
2. If you want to use Jvm, also at no cost to switch to jython, they do not have any difference in syntax. When you switch to Jvm, in theory, you can call any Jvm language, using their high-quality library.
3. python can mix compilation way to use the library c / c ++ / java language, etc., such swig way. This is the reason python has been known as glue language.
4. If you do not glue when the python language, no problem, you can solve a package of its own problems, such as 99% of Dropbox is the python code, watercress too.
So far the main, this syntax is simple + + open source library across the vast Native Development and Jvm + + glue language independent and capable general-purpose language, in addition to python, but also to find out who is going to? Xiaoqiang programming language so one. Most people with talent ah, also fail to get to complain about the forced spaces python indentation, as well as issues cpython gil, the existing functionality can be good pretty good. And the python got to the essence of the essence, there are two directions. First, get the C language, because it is a system-level language. Second, get lisp, because it is the highest peak programming language.
Python should learn, in my opinion, as long as the same thing can help you do that, hobbies - hobby - hobby! Important work say three times! In Python this magical world, find your own sense of loving point cut, and always find favorite spot for self-drive is the best way to learn! Another problem is that you learn to see the python are you doing? The resolution of the depth of your learning needs.
A: define their learning goals.
Whether we learn what kind of knowledge, must have a clear understanding of their own learning goals. The only way to sustained progress toward the goal, detours, which may be raised in the learning process, enjoy the fun of the whole study.
II: Python-based learning.
1. Know what Python is, what can be done?
2. know what variables, algorithms, interpreter
3. Python basic data types
4. The method of operation of lists and tuples
5. A method of operating a string
6. Basic operation method dictionary
These would be the next step after a slight grasp, the encounter will not find it online, or look at books and notes as well as a number of video-based learning.
Third, to master Python conditions, loops and associated execution statement
Any knowledge of its basics are somewhat boring, now we can begin to do some logic level things. Master the use if, else, elif, while, for, continue, break and list comprehensions statements such as these, as well as program exception handling.
Fourth, object-oriented knowledge
Object-OOP, higher-level Python program structure, code reuse to avoid code redundancy package your code, function parameters, scope and so on.
Class, can help us reduce the amount of development time and improve the efficiency of programming, to medium and large projects is crucial.
V. practice
At this stage, must be more hands-on, always want to believe that we practice is the sole criterion for testing truth, finding and processing encountered errors and exceptions encountered a problem and more Internet search.
If you just would like to know python, then look at some basic online video tutorials primary python on it;
If you want to come to do data processing, handling, it is still the first few regular, loops, arrays, word to learn these methods, combined with some practical examples. Such as how the data page crawling parsed into a structured pattern;
If you want to take python for data modeling algorithm, such as our own developed a combination of conventional LR / GBDT / DT / RF / ARPIORI / K-MEANS a thing of the conventional data table into the data processing filter discrete sub-boxes; if you are doing something to get python page development, it should learn Django, what are friends.