首先下载源tar包
可利用linux自带下载工具wget下载,如下所示:
wget http://www.python.org/ftp/python/2.7.3/Python-2.7.3.tgz
下载完成后到下载目录下,解压
tar -zxvf Python-2.7.3.tgz
进入解压缩后的文件夹
cd Python-2.7.3
在编译前先在/usr/local建一个文件夹python27(作为python的安装路径,以免覆盖老的版本)
mkdir /usr/local/python2.7.3
在解压缩后的目录下编译安装
./configure --prefix=/usr/local/python2.7.3 make make install
此时没有覆盖老版本,再将原来/usr/bin/python链接改为别的名字
mv /usr/bin/python /usr/bin/python_old
再建立新版本python的链接
ln -s /usr/local/python2.7.3/bin/python2.7 /usr/bin/python
这个时候输入
python
就会显示出python的新版本信息
Python 2.7.3 (default, Sep 29 2013, 11:05:02) [GCC 4.1.2 20080704 (Red Hat 4.1.2-54)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>>

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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