Recently I started learning Python programming language and loved it a lot.
It is very rich, it is based on principles that I adore and if you know the right way of doing things, you can write great piece of software just with a few lines of code.
Zen of Python
I will start from guiding principles for Python design, which one should always keep in mind.
- Beautiful is better than ugly.
- Explicit is better than implicit.
- Simple is better than complex.
- Complex is better than complicated.
- Flat is better than nested.
- Sparse is better than dense.
- Readability counts.
- Special cases aren’t special enough to break the rules.
- Although practicality beats purity.
- Errors should never pass silently.
- Unless explicitly silenced.
- In the face of ambiguity, refuse the temptation to guess.
- There should be one– and preferably only one –obvious way to do it.
- Although that way may not be obvious at first unless you’re Dutch.
- Now is better than never.
- Although never is often better than right now.
- If the implementation is hard to explain, it’s a bad idea.
- If the implementation is easy to explain, it may be a good idea.
- Namespaces are one honking great idea – let’s do more of those!
These principles are known as PEP 20 or The Zen of Python.
Many ways of doing things
What is great about Python is that you can implement same functionality in many ways and depending which path you choose it describes your maturity level.
Let’s consider simple task create a concatenated string from 0 to 19:
# create a concatenated string from 0 to 19 (e.g. "012..1819") nums = "" for n in range(20): nums += str(n) # slow and inefficient print nums
# create a concatenated string from 0 to 19 (e.g. "012..1819") nums =  for n in range(20): nums.append(str(n)) print "".join(nums) # much more efficient
# create a concatenated string from 0 to 19 (e.g. "012..1819") nums = [str(n) for n in range(20)] print "".join(nums)
I would definitely suggest Python to any programmer, because in good hands it becomes great tool for magic.
One should certainly consider following guide The Hitchhiker’s Guide to Python!.