用anaconda的pip安装第三方python包的日志

时间:2021-07-20 08:50:38

用anaconda的pip安装第三方python包的日志

启动anaconda命令窗口:

开始> 所有程序> anaconda> anaconda prompt

会得到两行提示:

Deactivating environment "d:\Anaconda2"...

Activating environment "d:\Anaconda2"...

安装tushare包

  • 在anaconda 命令窗口里: 输入 pip install tushare
  • 安装提示信息为:

[Anaconda2] C:\Documents and Settings\Administrator>pip install tushare

Collecting tushare

Downloading tushare-0.5.0.zip (89kB)

45% |██████████████▊ | 40kB 292kB/s eta 0:00:

57% |██████████████████▍ | 51kB 328kB/s eta 0

68% |██████████████████████ | 61kB 393kB/s et

80% |█████████████████████████▊ | 71kB 328kB/

91% |█████████████████████████████▍ | 81kB 35

100% |████████████████████████████████| 92kB

280kB/s

Building wheels for collected packages: tushare

Running setup.py bdist_wheel for tushare ... done

Stored in directory: C:\Documents and Settings\Administrator\Local Settings\Application Data\pip\Cache\wheels\2c\55\89\d4a3052f45104e809b0fd3a546ba6eff89ded4446dcfb0c9a1

Successfully built tushare

Installing collected packages: tushare

Successfully installed tushare-0.5.0

You are using pip version 8.1.1, however version 8.1.2 is available.

You should consider upgrading via the 'python -m pip install --upgrade pip' command.

[Anaconda2] C:\Documents and Settings\Administrator>

pip install talib

Collecting ta-lib

Downloading TA-Lib-0.4.9.zip (527kB)

34% |███████████▏ | 184kB 149kB/s eta 0:00:03

36% |███████████▉ | 194kB 149kB/s eta 0:00:03

38% |████████████▍ | 204kB 148kB/s eta 0:00:0

40% |█████████████ | 215kB 148kB/s eta 0:00:0

42% |█████████████▋ | 225kB 192kB/s eta 0:00:

44% |██████████████▎ | 235kB 145kB/s eta 0:00

46% |███████████████ | 245kB 145kB/s eta 0:00

48% |███████████████▌ | 256kB 192kB/s eta 0:0

50% |████████████████▏ | 266kB 145kB/s eta 0:

52% |████████████████▊ | 276kB 285kB/s eta 0:

54% |█████████████████▍ | 286kB 285kB/s eta 0

56% |██████████████████ | 296kB 273kB/s eta 0

58% |██████████████████▋ | 307kB 285kB/s eta

60% |███████████████████▎ | 317kB 198kB/s eta

62% |███████████████████▉ | 327kB 198kB/s eta

64% |████████████████████▌ | 337kB 285kB/s et

65% |█████████████████████ | 348kB 198kB/s et

67% |█████████████████████▊ | 358kB 192kB/s e

69% |██████████████████████▍ | 368kB 284kB/s

71% |███████████████████████ | 378kB 273kB/s

73% |███████████████████████▋ | 389kB 273kB/s

75% |████████████████████████▏ | 399kB 198kB/

77% |████████████████████████▉ | 409kB 198kB/

79% |█████████████████████████▌ | 419kB 273kB

81% |██████████████████████████ | 430kB 192kB

83% |██████████████████████████▊ | 440kB 198k

85% |███████████████████████████▎ | 450kB 273

87% |████████████████████████████ | 460kB 204

89% |████████████████████████████▌ | 471kB 20

91% |█████████████████████████████▏ | 481kB 2

93% |█████████████████████████████▉ | 491kB 2

95% |██████████████████████████████▍ | 501kB

96% |███████████████████████████████ | 512kB

98% |███████████████████████████████▋| 522kB

100% |████████████████████████████████| 532kB

198kB/s

Building wheels for collected packages: ta-lib

Running setup.py bdist_wheel for ta-lib ... error

Complete output from command d:\Anaconda2\python.exe -u -c "import setuptools,

tokenize;file='c:\docume1\admini1\locals~1\temp\pip-build-3etaep\ta

-lib\setup.py';exec(compile(getattr(tokenize, 'open', open)(file).read().re

place('\r\n', '\n'), file, 'exec'))" bdist_wheel -d c:\docume1\admini1\loc

als~1\temp\tmphu1uk_pip-wheel- --python-tag cp27:

c:\docume1\admini1\locals~1\temp\pip-build-3etaep\ta-lib\setup.py:77:

UserWarning:

Cannot find ta-lib library, installation may fail.

warnings.warn('Cannot find ta-lib library, installation may fail.')

running bdist_wheel

running build

running build_py

creating build

creating build\lib.win32-2.7

creating build\lib.win32-2.7\talib

copying talib_init_.py -> build\lib.win32-2.7\talib

copying talib\deprecated.py -> build\lib.win32-2.7\talib

copying talib\test_abstract.py -> build\lib.win32-2.7\talib

copying talib\test_data.py -> build\lib.win32-2.7\talib

copying talib\test_func.py -> build\lib.win32-2.7\talib

running build_ext

skipping 'talib\common.c' Cython extension (up-to-date)

building 'talib.common' extension

error: Microsoft Visual C++ 9.0 is required (Unable to find vcvarsall.bat). Get it from http://aka.ms/vcpython27


Failed building wheel for ta-lib

Running setup.py clean for ta-lib

Failed to build ta-lib

Installing collected packages: ta-lib

Running setup.py install for ta-lib ... error

Complete output from command

d:\Anaconda2\python.exe -u -c "

import setuptools, tokenize;

file='c:\docume1\admini1\locals~1\temp\pip-build-3etaep\talib\setup.py'; exec(compile(getattr(tokenize, 'open', open)

(file).read().replace('\r\n', '\n'), file, 'exec'))"

install --record c:\docume1\admini1\locals~1\temp\pip-3un8gp-record\install-record.txt --single-version-externally-managed --compile: c:\docume1\admini1\locals~1\temp\pip-build-3etaep\ta-lib\setup.py:77:

User Warning: Cannot find ta-lib library, installation may fail.

warnings.warn('Cannot find ta-lib library, installation may fail.')

running install

running build

running build_py

creating build

creating build\lib.win32-2.7

creating build\lib.win32-2.7\talib

copying talib_init_.py -> build\lib.win32-2.7\talib

copying talib\deprecated.py -> build\lib.win32-2.7\talib

copying talib\test_abstract.py -> build\lib.win32-2.7\talib

copying talib\test_data.py -> build\lib.win32-2.7\talib

copying talib\test_func.py -> build\lib.win32-2.7\talib

running build_ext

skipping 'talib\common.c' Cython extension (up-to-date)

building 'talib.common' extension

error: Microsoft Visual C++ 9.0 is required (Unable to find vcvarsall.bat).

Get it from http://aka.ms/vcpython27


Command "d:\Anaconda2\python.exe -u -c "import setuptools, tokenize;file='c:

\docume1\admini1\locals~1\temp\pip-build-3etaep\ta-lib\setup.py';exec(c

ompile(getattr(tokenize, 'open', open)(file).read().replace('\r\n', '\n'), _

file_, 'exec'))" install --record c:\docume1\admini1\locals~1\temp\pip-3un8g

p-record\install-record.txt --single-version-externally-managed --compile"

failed with error code 1 in c:\docume1\admini1\locals~1\temp\pip-build-3etaep\ta-lib

You are using pip version 8.1.1, however version 8.1.2 is available.

You should consider upgrading via the 'python -m pip install --upgrade pip' command.

[Anaconda2] C:\Documents and Settings\Administrator>

正确安装talib的步骤

http://bbs.pinggu.org/thread-4154495-1-1.html

我不清楚下面这个能否解决你的问题。我是在安装TA-Lib的时候,从官网talib org下载的怎么都不能装,用anaconda装也不行。最后是从这个帖子,发现好像官网的是32位,我们要下64位的:

http://*.com/questions/28103010/error-installing-ta-lib-for-anaconda

找到这个link:

http://www.lfd.uci.edu/~gohlke/pythonlibs/

从那边下载的这个:

TA_Lib-0.4.9-cp35-none-win_amd64.whl

然后我是在windows的cmd里面pip install TA_Lib-0.4.9-cp35-none-win_amd64.whl这样解决的。

btw我的环境是64位的win10,直接安装的Anaconda(python3.x)。

1. 从加州大学的python扩展库里下载适合的*

2. pip install TA_Lib-0.4.9-cp27-none-win32.whl

Unofficial Windows Binaries for Python Extension Packages

下载 TA_Lib-0.4.9-cp27-none-win32.whl from 加州大学的python扩展库里

有6个whl文件, 需要下载适合自己的whl文件:

TA-Lib, a wrapper for the TA-LIB Technical Analysis Library.

TA_Lib-0.4.9-cp27-none-win32.whl

TA_Lib-0.4.9-cp27-none-win_amd64.whl

TA_Lib-0.4.9-cp34-none-win32.whl

TA_Lib-0.4.9-cp34-none-win_amd64.whl

TA_Lib-0.4.9-cp35-none-win32.whl

TA_Lib-0.4.9-cp35-none-win_amd64.whl

然后在cmd窗口里安装:

D:\DB>pip install TA_Lib-0.4.9-cp27-none-win32.whl

Processing d:\db\ta_lib-0.4.9-cp27-none-win32.whl

Installing collected packages: TA-Lib

Successfully installed TA-Lib-0.4.9

You are using pip version 8.1.1, however version 8.1.2 is available.

You should consider upgrading via the 'python -m pip install --upgrade pip' command.

升级pip版本从8.1.2 到 9.0.1

Collecting pip

Downloading pip-9.0.1-py2.py3-none-any.whl (1.3MB)

35% |███████████▎ | 440kB 1.3MB/s eta 0:00:01

35% |███████████▌ | 450kB 1.6MB/s eta 0:00:01

36% |███████████▊ | 460kB 1.3MB/s eta 0:00:01

37% |████████████ | 471kB 1.3MB/s eta 0:00:01

38% |████████████▎ | 481kB 1.3MB/s eta 0:00:0

39% |████████████▌ | 491kB 1.3MB/s eta 0:00:0

39% |████████████▉ | 501kB 1.3MB/s eta 0:00:0

40% |█████████████ | 512kB 1.6MB/s eta 0:00:0

41% |█████████████▎ | 522kB 1.3MB/s eta 0:00:

42% |█████████████▋ | 532kB 819kB/s eta 0:00:

43% |█████████████▉ | 542kB 939kB/s eta 0:00:

44% |██████████████ | 552kB 939kB/s eta 0:00:

44% |██████████████▍ | 563kB 930kB/s eta 0:00

45% |██████████████▋ | 573kB 819kB/s eta 0:00

46% |██████████████▉ | 583kB 819kB/s eta 0:00

47% |███████████████▏ | 593kB 726kB/s eta 0:0

48% |███████████████▍ | 604kB 819kB/s eta 0:0

48% |███████████████▊ | 614kB 819kB/s eta 0:0

49% |████████████████ | 624kB 726kB/s eta 0:0

50% |████████████████▏ | 634kB 1.1MB/s eta 0:

51% |████████████████▌ | 645kB 930kB/s eta 0:

52% |████████████████▊ | 655kB 819kB/s eta 0:

53% |█████████████████ | 665kB 939kB/s eta 0:

53% |█████████████████▎ | 675kB 930kB/s eta 0

54% |█████████████████▌ | 686kB 1.1MB/s eta 0

55% |█████████████████▊ | 696kB 1.1MB/s eta 0

56% |██████████████████ | 706kB 939kB/s eta 0

57% |██████████████████▎ | 716kB 939kB/s eta

57% |██████████████████▌ | 727kB 1.1MB/s eta

58% |██████████████████▉ | 737kB 939kB/s eta

59% |███████████████████ | 747kB 1.1MB/s eta

60% |███████████████████▎ | 757kB 1.1MB/s eta

61% |███████████████████▋ | 768kB 930kB/s eta

62% |███████████████████▉ | 778kB 1.1MB/s eta

62% |████████████████████ | 788kB 939kB/s eta

63% |████████████████████▍ | 798kB 1.1MB/s et

64% |████████████████████▋ | 808kB 1.1MB/s et

65% |█████████████████████ | 819kB 939kB/s et

66% |█████████████████████▏ | 829kB 1.1MB/s e

66% |█████████████████████▍ | 839kB 1.1MB/s e

67% |█████████████████████▊ | 849kB 1.1MB/s e

68% |██████████████████████ | 860kB 1.1MB/s e

69% |██████████████████████▏ | 870kB 1.1MB/s

70% |██████████████████████▌ | 880kB 1.1MB/s

70% |██████████████████████▊ | 890kB 1.1MB/s

71% |███████████████████████ | 901kB 930kB/s

72% |███████████████████████▎ | 911kB 1.1MB/s

73% |███████████████████████▌ | 921kB 1.1MB/s

74% |███████████████████████▊ | 931kB 1.1MB/s

75% |████████████████████████ | 942kB 1.1MB/s

75% |████████████████████████▎ | 952kB 939kB/

76% |████████████████████████▌ | 962kB 1.1MB/

77% |████████████████████████▉ | 972kB 1.1MB/

78% |█████████████████████████ | 983kB 1.1MB/

79% |█████████████████████████▎ | 993kB 1.1MB

79% |█████████████████████████▋ | 1.0MB 1.3MB

80% |█████████████████████████▉ | 1.0MB 1.1MB

81% |██████████████████████████▏ | 1.0MB 1.3M

82% |██████████████████████████▍ | 1.0MB 1.1M

83% |██████████████████████████▋ | 1.0MB 1.1M

84% |███████████████████████████ | 1.1MB 1.3M

84% |███████████████████████████▏ | 1.1MB 1.1

85% |███████████████████████████▍ | 1.1MB 1.3

86% |███████████████████████████▊ | 1.1MB 1.1

87% |████████████████████████████ | 1.1MB 1.1

88% |████████████████████████████▏ | 1.1MB 1.

88% |████████████████████████████▌ | 1.1MB 1.

89% |████████████████████████████▊ | 1.1MB 1.

90% |█████████████████████████████ | 1.1MB 1.

91% |█████████████████████████████▎ | 1.1MB 1

92% |█████████████████████████████▌ | 1.2MB 1

93% |█████████████████████████████▊ | 1.2MB 1

93% |██████████████████████████████ | 1.2MB 1

94% |██████████████████████████████▎ | 1.2MB

95% |██████████████████████████████▌ | 1.2MB

96% |██████████████████████████████▉ | 1.2MB

97% |███████████████████████████████ | 1.2MB

97% |███████████████████████████████▍| 1.2MB

98% |███████████████████████████████▋| 1.2MB

99% |███████████████████████████████▉| 1.2MB

100% |████████████████████████████████| 1.3MB 312kB/s

Installing collected packages: pip

Found existing installation: pip 8.1.2

Uninstalling pip-8.1.2:

Successfully uninstalled pip-8.1.2

Successfully installed pip-9.0.1

pip install zipline

[Anaconda2] C:\Documents and Settings\Administrator>pip install -c Quantopian zipline

Could not open requirements file: [Errno 2] No such file or directory: 'Quantopian'

windows用户用conda install 来安装zipline

Install — Zipline 1.0.2 documentation http://www.zipline.io/install.html

For windows, the easiest and best supported way to install zipline is to use Conda.

Installing with conda

Another way to install Zipline is via the conda package manager, which comes as part of Continuum Analytics’ Anaconda distribution.

The primary advantage of using Conda over pip is that conda natively understands the complex binary dependencies of packages like numpy and scipy. This means that conda can install Zipline and its dependencies without requiring the use of a second tool to acquire Zipline’s non-Python dependencies.

For instructions on how to install conda, see the Conda Installation Documentation

Once conda has been set up you can install Zipline from our Quantopian channel:

conda install -c Quantopian zipline

[Anaconda2] C:\Documents and Settings\Administrator>conda install -c Quantopian zipline

Using Anaconda Cloud api site https://api.anaconda.org

Fetching package metadata: ......

Solving package specifications: .........

Package plan for installation in environment d:\Anaconda2:

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
conda-env-2.6.0 | 0 488 B
python-2.7.13 | 0 22.7 MB
logbook-0.12.5 | py27_0 111 KB
numpy-1.8.2 | py27_0 15.7 MB
pyparsing-2.0.1 | py27_0 61 KB
requests-2.12.4 | py27_0 754 KB
ruamel_yaml-0.11.14 | py27_1 203 KB
dateutil-2.4.1 | py27_0 218 KB
numexpr-2.3.1 | np18py27_0 116 KB
scipy-0.14.0 | np18py27_0 33.1 MB
ta-lib-0.4.8 | np18py27_0 6.3 MB
cryptography-1.4 | py27_0 273 KB
pandas-0.14.1 | np18py27_0 3.7 MB
scikit-learn-0.15.2 | np18py27_0 3.0 MB
matplotlib-1.4.0 | np18py27_0 41.7 MB
pyopenssl-16.2.0 | py27_0 68 KB
conda-4.3.4 | py27_0 520 KB
zipline-0.7.0 | np18py27_0 241 KB
------------------------------------------------------------
Total: 128.8 MB

The following NEW packages will be INSTALLED:

dateutil:     2.4.1-py27_0
logbook: 0.12.5-py27_0
ruamel_yaml: 0.11.14-py27_1
ta-lib: 0.4.8-np18py27_0
zipline: 0.7.0-np18py27_0

The following packages will be UPDATED:

conda:        4.0.5-py27_0       --> 4.3.4-py27_0
conda-env: 2.4.5-py27_0 --> 2.6.0-0
cryptography: 1.3-py27_0 --> 1.4-py27_0
pyopenssl: 0.15.1-py27_2 --> 16.2.0-py27_0
python: 2.7.11-4 --> 2.7.13-0
requests: 2.9.1-py27_0 --> 2.12.4-py27_0

The following packages will be DOWNGRADED:

matplotlib:   1.5.1-np110py27_0  --> 1.4.0-np18py27_0
numexpr: 2.5-np110py27_0 --> 2.3.1-np18py27_0
numpy: 1.10.4-py27_0 --> 1.8.2-py27_0
pandas: 0.18.0-np110py27_0 --> 0.14.1-np18py27_0
pyparsing: 2.0.3-py27_0 --> 2.0.1-py27_0
scikit-learn: 0.17.1-np110py27_0 --> 0.15.2-np18py27_0
scipy: 0.17.0-np110py27_0 --> 0.14.0-np18py27_0

Proceed ([y]/n)?y

Fetching packages ...

conda-env-2.6. 100% |###############################| Time: 0:00:00 0.00 B/s

python-2.7.13- 100% |###############################| Time: 0:02:46 143.00 kB/s

logbook-0.12.5 100% |###############################| Time: 0:00:22 4.97 kB/s

numpy-1.8.2-py 13% |#### | Time: 0:14:15 2.55 kB/s

pyinstaller 3.2.1 @ 2017/3

[Anaconda2] C:\Documents and Settings\Administrator>pip install pyinstaller

Collecting pyinstaller

Downloading PyInstaller-3.2.1.tar.bz2 (2.4MB)

100% |████████████████████████████████| 2.4MB 152kB/s

Requirement already satisfied: setuptools in d:\anaconda2\lib\site-packages\setuptools-20.3-py2.7.egg (from pyinstaller)

Requirement already satisfied: future in d:\anaconda2\lib\site-packages (from pyinstaller)

Building wheels for collected packages: pyinstaller

Running setup.py bdist_wheel for pyinstaller ... done

Stored in directory: C:\Documents and Settings\Administrator\Local Settings\Application Data\pip\Cache\wheels\0b\d9\68

\d6ac226a577f9a16459d486c5fe1a71cdc5846dd6515a13b0f

Successfully built pyinstaller

Installing collected packages: pyinstaller

Successfully installed pyinstaller-3.2.1

quantdigger @2017/3/27

[Anaconda2] C:\Documents and Settings\Administrator>pip install quantdigger

Collecting quantdigger

Downloading QuantDigger-0.400.tar.gz (167kB)

100% |████████████████████████████████| 174kB 284kB/s

Requirement already satisfied: logbook>=0.12.5 in d:\anaconda2\lib\site-packages (from quantdigger)

Requirement already satisfied: ta-lib>=0.4.8 in d:\anaconda2\lib\site-packages (from quantdigger)

Collecting progressbar2>=3.6.2 (from quantdigger)

Downloading progressbar2-3.16.0-py2.py3-none-any.whl

Requirement already satisfied: matplotlib>=1.5.1 in d:\anaconda2\lib\site-packages (from quantdigger)

Requirement already satisfied: pandas>=0.17.1 in d:\anaconda2\lib\site-packages (from quantdigger)

Requirement already satisfied: python-dateutil>=2.4.2 in d:\anaconda2\lib\site-packages (from quantdigger)

Requirement already satisfied: numpy==1.10.4 in d:\anaconda2\lib\site-packages (from quantdigger)

Collecting python-utils>=2.0.0 (from progressbar2>=3.6.2->quantdigger)

Downloading python_utils-2.0.1-py2.py3-none-any.whl

Requirement already satisfied: pytz in d:\anaconda2\lib\site-packages (from matplotlib>=1.5.1->quantdigger)

Requirement already satisfied: cycler in d:\anaconda2\lib\site-packages (from matplotlib>=1.5.1->quantdigger)

Requirement already satisfied: pyparsing!=2.0.4,>=1.5.6 in d:\anaconda2\lib\site-packages (from matplotlib>=1.5.1->quant

digger)

Requirement already satisfied: six>=1.5 in d:\anaconda2\lib\site-packages (from python-dateutil>=2.4.2->quantdigger)

Building wheels for collected packages: quantdigger

Running setup.py bdist_wheel for quantdigger ... done

Stored in directory: C:\Documents and Settings\Administrator\Local Settings\Application Data\pip\Cache\wheels\df\ee\3e

\dd97bc47430d3be3ac19e37d02a86c353f61547b30b16da8be

Successfully built quantdigger

Installing collected packages: python-utils, progressbar2, quantdigger

Successfully installed progressbar2-3.16.0 python-utils-2.0.1 quantdigger-0.400

[Anaconda2] C:\Documents and Settings\Administrator>

用anaconda的pip安装第三方python包的日志的更多相关文章

  1. 用anaconda的pip安装第三方python包

    启动anaconda命令窗口: 开始> 所有程序> anaconda> anaconda prompt会得到两行提示: Deactivating environment " ...

  2. 【Python使用】使用pip安装卸载Python包(含离线安装Python包)未完成???

    pip 是 Python 包管理工具,该工具提供了对Python包的查找.下载.安装.卸载的功能.Python 2.7.9 + 或 Python 3.4+ 以上版本都自带 pip 工具. pip使用( ...

  3. JuPyter(IPython) Notebook中通过pip安装第三方Python Module

    JuPyter(IPython) Notebooks中使用pip安装Python的模块 刚开始接触JuPyter Notebook的时候觉得这是个不错的写技术博客的工具,可以很直观的把代码和结果结合在 ...

  4. python安装第三方的包

    转载自:http://blog.csdn.net/xyqzki/article/details/38414433 第一种基本安装方法 1 下载第三方包,解压 2 在命令提示符里输入cmd,然后用cd进 ...

  5. 解决Python pip安装第三方包慢的问题

    解决Python pip安装第三方包慢的问题 主要是修改源,国内的源有几个 阿里云 http://mirrors.aliyun.com/pypi/simple/ 中国科技大学 https://pypi ...

  6. python 之 配置环境变量、通过pip 安装第三方库

    配置环境变量 右击桌面上的“此电脑”—>“属性”—>“高级系统设置”—>右下角“环境变量”—>双击“系统变量”里的“Path”—>点击“新建”—>输入python的 ...

  7. python使用pip安装第三方模块遇到的问题及解决方法

    python使用pip安装第三方模块遇到的问题及解决方法 关注公众号"轻松学编程"了解更多. 使用国内源: 清华:https://pypi.tuna.tsinghua.edu.cn ...

  8. 多python版本下,使用pip安装第三方库

    说明:win10系统,先安装有Python3.5.2,后又安装了Python2.7.13(并重命名了Python27文件夹下python.exe为python2.7.13.exe),试图使用pip安装 ...

  9. (python pip安装第三方库超时问题(raise ReadTimeoutErrorself._pool, None, 'Read timed out.')

    (python pip安装第三方库超时问题(raise ReadTimeoutErrorself._pool, None, ‘Read timed out.’)pip工具安装百度经验链接: pip安装 ...

随机推荐

  1. bzoj1001--最大流转最短路

    http://www.lydsy.com/JudgeOnline/problem.php?id=1001 思路:这应该算是经典的最大流求最小割吧.不过题目中n,m<=1000,用最大流会TLE, ...

  2. ICA和PCA

    http://wenku.baidu.com/link?url=BsmIM7T4CU1D_MgiBzu4Ul1oLnM2Qpmc0sCfXIcD9S20qq3BEkSnuY4RUc7gDZoeFR1N ...

  3. python简单实现用户表单登录

    实现简单的用户表单验证登录 user="desperado" pwd=" s=0 for i in range(10): if s < 3: username = ...

  4. hdu--(1025)Constructing Roads In JGShining&&num;39&semi;s Kingdom(dp&sol;LIS&plus;二分)

    Constructing Roads In JGShining's Kingdom Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65 ...

  5. CSS控制a标签链接的四种状态

    /*CSS链接的四种状态 *a:link 普通的.未被访问的链接样式 *a:visited 用户已访问的链接样式 *a:hover 鼠标指针位于链接上方样式 *a:active 链接被点击的时刻样式 ...

  6. 演示demo开发问题及解决方案集锦

    模型处理问题: 1. 3Dmax模型导入Unity单位设置: 自定义->单位设置->系统单位设置与显示单位比例都调成厘米 2. 3Dmax中材质贴图: 点击材质编辑器[在模式下可以选择精简 ...

  7. NSTimer、 NSTask、 NSThread 和 NSRunloop 之间的区别

    NSTimer是一个计时器对象,方法调用在对未来的选择对象. NSThread是一个线程类. 也就是创建一个线程. NSTask类是一个过程,一种方式运行程序从您的其他程序. NSOperation是 ...

  8. Android(java)学习笔记250:ContentProvider使用之获得系统联系人信息02(掌握)

    1.重要: 系统删除一个联系人,默认情况下并不是把这个联系人直接删除掉了,只是做了一个标记,标记为被删除. 2.前面一讲说过了如何获取系统联系人信息(通过ContentProvider),获取联系人信 ...

  9. Sql Server 2005的1433端口打开和进行远程连接

    参考地址:http://topic.csdn.net/u/20090828/16/e693935a-99b7-4090-a6bc-0123c91183eb.html 1.如何打开sql server  ...

  10. HTML 表单与输出

    我们先来设置一个简单的表单 <!doctype html><html><head> <meta charset="utf-8"> & ...