python-3.6

问题 I am working on a python exercise asking for Write Python programs that read a sequence of integer inputs and print The smallest and largest of the inputs. My code so far def smallAndLarge(): num1 = int(input("Enter a number: ")) num2 = int(input("Enter a number: ")) if num1 > num2: print(num1,"is the largest number, while",num2,"is the smallest number.") else: print(num2,"is the largest number, while",num1,"is the smallest number.") smallAndLarge() I am using def smallAndlarge(): since my

问题 I am working on a python exercise asking for Write Python programs that read a sequence of integer inputs and print The smallest and largest of the inputs. My code so far def smallAndLarge(): num1 = int(input("Enter a number: ")) num2 = int(input("Enter a number: ")) if num1 > num2: print(num1,"is the largest number, while",num2,"is the smallest number.") else: print(num2,"is the largest number, while",num1,"is the smallest number.") smallAndLarge() I am using def smallAndlarge(): since my

问题 I just installed tensorflow using the instructions for the virtualenv method. The installation process went smoothly, so I don't think there was any problem there. After installation I proceeded to try and import it to validate that everything is ok, and I got the following message: [1] 4492 illegal hardware instruction (core dumped) python This happened after I use the following command using th python interactive console: import tensorflow as tf I tried using the link with pip to reinstall

问题 I just installed tensorflow using the instructions for the virtualenv method. The installation process went smoothly, so I don't think there was any problem there. After installation I proceeded to try and import it to validate that everything is ok, and I got the following message: [1] 4492 illegal hardware instruction (core dumped) python This happened after I use the following command using th python interactive console: import tensorflow as tf I tried using the link with pip to reinstall

问题 I just installed tensorflow using the instructions for the virtualenv method. The installation process went smoothly, so I don't think there was any problem there. After installation I proceeded to try and import it to validate that everything is ok, and I got the following message: [1] 4492 illegal hardware instruction (core dumped) python This happened after I use the following command using th python interactive console: import tensorflow as tf I tried using the link with pip to reinstall

问题 I'm trying to do something like this: import asyncio from itertools import islice async def generate_numbers(n): for x in range(n): yield x async def consume_numbers(n): async for x in generate_numbers(n): print(x) async def consume_some_numbers(n,m): async for x in islice(generate_numbers(n),m): #<-- This doesn't work. islice doesn't recognize async iterators as iterators. print(x) loop = asyncio.get_event_loop() loop.run_until_complete(consume_numbers(10)) loop.run_until_complete(consume

问题 I am having some troubles getting my Firebird connection to work, and it all seems related to encodings. I am connecting to the database like this ( local_copy is /path/to/database.fdb ): conn = fdb.connect(dsn=local_copy, user='****', password='****', charset="ISO8859_1") which only works for certain charsets. I need to have the ISO8859_1 charset, which worked before, but not anymore (perhaps because of an update). Traceback (most recent call last): File "sync.py", line 10, in <module> conn

问题 I'm trying to cast string columns to numeric, but I am getting an exception in PySpark. I provide below the code and the error message. Is it possible to import the specific columns from the csv file as numeric? (the default is to be imported as strings). What are my alternative? My code and the error messages follow below: import pandas as pd import seaborn as sns import findspark findspark.init() import pyspark from pyspark.sql import SparkSession # Loads data. Be careful of indentations

问题 I am new tensorflow. I am trying to implement Linear Regression with custom training, following this tutorial. But when I try to compute W*x + b I am getting this error tf.add(tf.matmul(W,x),b) InvalidArgumentError: cannot compute Add as input #1(zero-based) was expected to be a double tensor but is a float tensor [Op:Add] I initialized W and b W = tf.Variable(np.random.rand(1,9)) b = tf.Variable([1],dtype = tf.float32) x = tf.Variable(np.random.rand(9,100)) But when I changed the

问题 Sorry for the long post but I've been poking at this for over a week so I've tried a lot of different stuff. I know Python well enough but I don't have any experience with asyncio or non-blocking functions in Python. I'm writing an API library/module/package/whatever for a web service that requires a websocket connection. There are many incoming messages to act on, and some control-related (web app level, not websocket control messages) that I need to send on occasion. I can easily receive