圍觀了知乎上大神的作品后（99行代碼的《冰雪奇緣》
https://zhuanlan.zhihu.com/p/97700605）现拒，連夜安裝了Taichi 合冀。
安裝過程中有幾個小問題，簡要記錄一下吧婿着，省得下回忘記了兰吟。
機器上的python版本有3個，環(huán)境太復雜鼻忠，不利于判斷解決問題。第一步杈绸，先都卸載帖蔓，然后選擇安裝python-3.7.6-amd64.exe，安裝過程中注意勾選配置環(huán)境變量瞳脓，注意這不是默認選項塑娇，之所以選擇這個版本，而不是最新的?python-3.8.1劫侧，是因為 taichi 官網(wǎng)上寫的3.6 或者 3.7埋酬，為減少可能出現(xiàn)的問題哨啃，所以選擇安裝 3.7 版本。
使用pip安裝写妥，C:\Users\xxx>pip install taichi-nightly
提示：
WARNING: You are using pip version 19.2.3, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
按照提示拳球，執(zhí)行?python -m pip install --upgrade pip 升級 pip 版本；
然后執(zhí)行? python -m pip install taichi-nightly
它會同時安裝需要的其他第三方模塊
C:\Users\xxx>python -m pip install taichi-nightly
Collecting taichi-nightly
? Downloading https://files.pythonhosted.org/packages/19/e1/2ae937db0dc0b238b2c026959552e257c236a76c1433d400fc96486474df/taichi_nightly-0.3.20-cp37-cp37m-win_amd64.whl (15.2MB)
? ? |████████████████████████████████| 15.2MB 656kB/s
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/numpy/
Collecting numpy
? Downloading https://files.pythonhosted.org/packages/a9/38/f6d6d8635d496d6b4ed5d8ca4b9f193d0edc59999c3a63779cbc38aa650f/numpy-1.18.1-cp37-cp37m-win_amd64.whl (12.8MB)
? ? |████████████████████████████████| 12.8MB 6.4MB/s
Collecting astor
? Using cached https://files.pythonhosted.org/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl
Collecting pybind11
? Using cached https://files.pythonhosted.org/packages/4b/4d/ae1c4d8e8b139afa9682054dd42df3b0e3b5c1731287933021b9fd7e9cc4/pybind11-2.4.3-py2.py3-none-any.whl
Requirement already satisfied: setuptools in c:\users\nase\appdata\local\programs\python\python37\lib\site-packages (from taichi-nightly) (41.2.0)
Collecting colorama
? Using cached https://files.pythonhosted.org/packages/c9/dc/45cdef1b4d119eb96316b3117e6d5708a08029992b2fee2c143c7a0a5cc5/colorama-0.4.3-py2.py3-none-any.whl
Collecting pytest
? Using cached https://files.pythonhosted.org/packages/19/cf/711f1d887cb92c5155c9a1eb338f1b5d2411b50e4492a3b20e4a188a22b2/pytest-5.3.2-py3-none-any.whl
Collecting packaging
? Using cached https://files.pythonhosted.org/packages/d8/5b/3098db49a61ccc8583ffead6aedc226f08ff56dc03106b6ec54451e27a30/packaging-20.0-py2.py3-none-any.whl
Collecting importlib-metadata>=0.12; python_version < "3.8"
? Using cached https://files.pythonhosted.org/packages/e9/71/1a1e0ed0981bb6a67bce55a210f168126b7ebd2065958673797ea66489ca/importlib_metadata-1.3.0-py2.py3-none-any.whl
Collecting attrs>=17.4.0
? Using cached https://files.pythonhosted.org/packages/a2/db/4313ab3be961f7a763066401fb77f7748373b6094076ae2bda2806988af6/attrs-19.3.0-py2.py3-none-any.whl
Collecting atomicwrites>=1.0; sys_platform == "win32"
? Using cached https://files.pythonhosted.org/packages/52/90/6155aa926f43f2b2a22b01be7241be3bfd1ceaf7d0b3267213e8127d41f4/atomicwrites-1.3.0-py2.py3-none-any.whl
Collecting wcwidth
? Using cached https://files.pythonhosted.org/packages/58/b4/4850a0ccc6f567cc0ebe7060d20ffd4258b8210efadc259da62dc6ed9c65/wcwidth-0.1.8-py2.py3-none-any.whl
Collecting py>=1.5.0
? Using cached https://files.pythonhosted.org/packages/99/8d/21e1767c009211a62a8e3067280bfce76e89c9f876180308515942304d2d/py-1.8.1-py2.py3-none-any.whl
Collecting pluggy<1.0,>=0.12
? Using cached https://files.pythonhosted.org/packages/a0/28/85c7aa31b80d150b772fbe4a229487bc6644da9ccb7e427dd8cc60cb8a62/pluggy-0.13.1-py2.py3-none-any.whl
Collecting more-itertools>=4.0.0
? Using cached https://files.pythonhosted.org/packages/68/03/0604cec1ea13c9f063dd50f900d1a36160334dd3cfb01fd0e638f61b46ba/more_itertools-8.0.2-py3-none-any.whl
Collecting pyparsing>=2.0.2
? Using cached https://files.pythonhosted.org/packages/5d/bc/1e58593167fade7b544bfe9502a26dc860940a79ab306e651e7f13be68c2/pyparsing-2.4.6-py2.py3-none-any.whl
Collecting six
? Using cached https://files.pythonhosted.org/packages/65/26/32b8464df2a97e6dd1b656ed26b2c194606c16fe163c695a992b36c11cdf/six-1.13.0-py2.py3-none-any.whl
Collecting zipp>=0.5
? Using cached https://files.pythonhosted.org/packages/74/3d/1ee25a26411ba0401b43c6376d2316a71addcc72ef8690b101b4ea56d76a/zipp-0.6.0-py2.py3-none-any.whl
Installing collected packages: numpy, astor, pybind11, colorama, pyparsing, six, packaging, more-itertools, zipp, importlib-metadata, attrs, atomicwrites, wcwidth, py, pluggy, pytest, taichi-nightly
Successfully installed astor-0.8.1 atomicwrites-1.3.0 attrs-19.3.0 colorama-0.4.3 importlib-metadata-1.3.0 more-itertools-8.0.2 numpy-1.18.1 packaging-20.0 pluggy-0.13.1 py-1.8.1 pybind11-2.4.3 pyparsing-2.4.6 pytest-5.3.2 six-1.13.0 taichi-nightly-0.3.20 wcwidth-0.1.8 zipp-0.6.0
剛開始安裝完畢后珍特，發(fā)現(xiàn)在命令行上不能成功運行 taichi祝峻，在 python IDE 中卻可以。
搜了一下資料扎筒，在腳本最前面添加了
import sys
import time
print (sys.path)
后莱找，發(fā)現(xiàn)使用的 path 中有之前的 python3.8 的庫，故檢查了一下本地文件目錄嗜桌，徹底刪除了python38 目錄奥溺，并重啟了機器。再次嘗試骨宠，發(fā)現(xiàn)問題解決谚赎。
win10 下，python 安裝在了 C:\Users\xxx\AppData\Local\Programs\Python\Python37 類似的目錄下诱篷，安裝的時候沒注意，應該可以選擇一個其他目錄的吧雳灵，更方便一些棕所。
試著運行了幾個示例代碼，效果還是很震撼的悯辙，可以給兒子展示一下了琳省。
