stringio - python 3.x ImportError: No module named ...
stringio - python 3.x ImportError: No module named ...
【python】io.StringIOは便利なので使いこなそう - 静かなる名辞
Stringo® - The original vehicle mover
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7.5. StringIO — Read and write strings as files — Python 2 ...
Is this a StringIO bug in ruby 2.7.0?
When running tests on one of my projects for 2.7.0, I ran into some weird failures, which I reduced/isolated to this. StringIO no longer preserves encoding of strings it was initialized with in 2.7.0. Is this a bug? I thought I'd ask for feedback here before trying to submit it as a bug on ruby tracker (and figure out how to do so).
binary_string = "\x11\x99".force_encoding("ASCII-8BIT") # note this is invalid UTF-8, for realism puts "binary_string.encoding: #{binary_string.encoding}" # "ASCII-8BIT" string_io = StringIO.new(binary_string) retrieved = string_io.read puts "retrieved.encoding: #{retrieved.encoding}" # On Ruby 2.7.0, UTF-8 # On Ruby 2.6.5, ASCII-8BIT
Oh except OOPS, I can't reproduce this in a straight irb terminal. But it is reproducing in my actual project! So it must not be StringIO by itself, it must be one of my dependencies rudely changing the behavior of StringIO somehow... this is painful. Does Rails monkey-patch StringIO somehow? Confirmed I can reproduce this in a project that does "require 'rails'". I might go ahead and report this as a bug to rails then.... unless it's somehow intended or a bugfix? Very odd. Still curious if anyone has any advice. I think I may have trouble getting this report consideration on Rails tracker. I really don't understand what's going on.
Need help with differences between StringIO and using physical files
I've just started back at learning Python so tried to modify an old webscrape I wrote in order to not use physical files, I found online StringIO which seemed perfect. However, when substituting StringIO in place of open() I can't quite figure out where I've gone wrong. It seems my loop just overwrites the string rather than creating the list it does with a physical file. Screenshots of outputs Any pointers would be greatly appreciated
The below code works, but I want to simplify it. For instance, with a file I can use with open(filename) as f: However, I don't have the option of going with StringIO.StringIO(stdout) as buf: because StringIO.StringIO isn't built for that. How can I simplify the below script? Right now, it works perfectly fine, but I'm trying to get into the habit of using with. The code itself just retrieves the IP addresses for all interfaces (excluding loopback) and prints them out in a friendly format.
runCmd = 'ip -4 -o addr' proc = subprocess.Popen(runCmd.split(' '),stdout=subprocess.PIPE) stdout, stderr = proc.communicate() buf = StringIO.StringIO(stdout) for line in buf: line = line.split() if line[1] != 'lo': iface = line[1] + ':' print(iface.ljust(10) + line[3]) buf.close()
Is there anything out there that can slice lists as efficiently as io.StringIO.read can slice strings?
[*map(StringIO(x).read, repeat(16, 16))] is 3.9x faster than [x[i:i+16] for i in range(0, 1024, 16)]. Something in C that can can bypass all of the Python overhead and the overhead required to create slice objects which for some reason are retardedly slow to create.
How do you expose a buffer interface from Pillow to xlsxwriter/or some other module - for inserting modified images into a excel sheet?
In my example - I need to insert a modified image into an excel bill-of-material - but I get > TypeError: 'JpegImageFile' does not have the buffer interface
import xlsxwriter import PIL from PIL import Image from io import BytesIO from StringIO import StringIO i = PIL.Image.open('/tmp/python.jpg') o = BytesIO(i) print(type(o)) # Create an new Excel file and add a worksheet. workbook = xlsxwriter.Workbook('images.xlsx') worksheet = workbook.add_worksheet() wrap_format = workbook.add_format({'text_wrap': True}) wrap_format = wrap_format.set_align('vjustify') worksheet.set_column(0, 0, 30) worksheet.write('A2', 'Some text that wraps', wrap_format) worksheet.write('A3', 'Some text that wraps', wrap_format) worksheet.write('A4', 'Some text that wraps', wrap_format) worksheet.write('A5', 'Some text that wraps', wrap_format) worksheet.insert_image('B2', o, {'object_position': 1, 'anchor': 1}) worksheet.insert_image('B3', '/tmp/python.jpg', {'object_position': 1, 'anchor'$ worksheet.insert_image('B4', '/tmp/python.jpg', {'object_position': 1, 'anchor'$ worksheet.insert_image('B5', '/tmp/python.jpg', {'object_position': 1}) worksheet.insert_image('B6', '/tmp/python.jpg', {'
Help understanding why this error is raised? StringIO / .dot issue?
Hi, I'm trying to learn ML from the Wesleyan Coursera page. The topic is decision trees and I'm trying to visualize the tree I got in a Jupyter notebook. I follow the teacher's steps 1 by 1 see notebook on github but whereas the teacher gets the chart plotted in the notebook, I get the following error:
Hi, I have this very strange problem. This is my code: import numpy as np import matplotlib.pyplot as plt import time import pandas as pd from datetime import datetime from io import StringIO plt.ion() # Enable interactive mode fig = plt.figure() # Create figure axes = fig.add_subplot(111) # Add subplot (dont worry only one plot appears) axes.set_autoscale_on(True) # enable autoscale axes.autoscale_view(True,True,True) l, = plt.plot([], [], 'r-') # Plot blank data plt.xlabel('x') # Set up axes plt.title('test') def redraw(): df_data = pd.read_csv(r'C:\PythonProjects\Trader\venv\MACD_HIST.csv', names=['time', 'value']) xdata = df_data['value'] ydata = df_data['time'] print(xdata) l.set_data(ydata,xdata) # update data axes.relim() # Recalculate limits axes.autoscale_view(True,True,True) #Autoscale plt.draw() # Redraw while True: print("Redrawing") #if float(int(datetime.now().strftime('%S')) / 10).is_integer: #(run every 10 secs) redraw() My file contains this: 34,-0.011344703807079299 35,-0.021262789441955147 36,-0.03096811875140209 37,-0.0482570408076033 38,-0.05205214122791929 39,-0.05728281908239152 40,-0.05790311604719256 41,-0.05483104904414484 42,-0.04692804506301557 43,-0.04013349322439646 44,-0.03174570044733168 45,-0.035490174964525265 46,-0.022311026500653426 47,-0.011928033178375664 48,-0.017216432396662866 49,-0.01478012126564413 50,-0.010787023100289402 51,-0.0028120167873849616 52,0.0034180587270479915 53,0.006305534206970348 54,0.005655841641916258 55,0.016850173863149184 56,0.02654658471977414 57,0.03282079065402783 58,0.04420443503661561 59,0.049158603219676474 60,0.04332938581572159 61,0.04498805804834132 62,0.03774879781523039 63,0.027778649284614848 64,0.02229976111891717 65,0.01604323481542106 66,0.021077891149583337 67,0.010541493896320366 68,0.0016227739225782376 69,0.002478114432807638 70,-0.0008016659984451912 71,-0.0052231481801123655 72,-0.0030965978671940605 73,0.0011151829338808751 74,-0.0006093274493566722 75,-0.005962799677427069 76,-0.007553016854565688 77,0.002888727565856544 78,0.011383441992201123 79,0.032226429644360344 80,0.03985952553915888 81,0.0368073998626859 82,0.031601326741420355 83,0.029075146059425558 84,0.028294828466721676 85,0.03943420278449225 86,0.04396907673368555 87,0.036368318138319436 88,0.03743114969635123 89,0.03548682687638207 90,0.030402367632562866 91,0.02546150423697247 92,0.03804238947301413 93,0.04554311088865248 94,0.025111969616972506 95,0.018181778865215378 96,0.02322645763233813 97,0.030992127962795362 98,0.031051063556743166 99,0.02492935268969902 The file is updated every minute and if I put a breakpoint on Redraw() then manually step through it, the chart updates. But if I run it with no breakpoints the chart doesn't appear at all. Grateful for any pointers
In pytest with pytest-mock, how do I test if one argument of a multi-argument (mocked) function was called with a certain argument?
I am trying to test if print() is called with a certain argument. While I can patch the function with mocker.patch('builtins.print'), the call in the tested code also takes the TextIO object destination, be it a file or the standard output destination. How do I test if the first argument to print() is the expected text? Alternatively, is there a way to also test if the destination argument is the aforementioned file or standard output destination? Thanks in advance.
Azure Functions - Python , Pandas and Whether this is the right way
Hi Everyone ! Thank you kindly for giving up your time to read this. I am currently trying to work on an Azure Function on Logic Apps that triggers on someone uploading a csv to the blob storage. My entire code base is below at the moment. At the moment, I can verify that the pandas dataframe is being read correctly, but I am not sure why my outputblob.set isn't working well. I am also not really sure if this is the right way to approach the problem. In terms of structure, I have a storage account, one container to take in the raw data, and one to drop the output files. The output files should be in either csv or excel format, and there is more than one output per raw file dropped. After that the function should also ingest the data into a MySQL database on Azure. Should I be trying to use the bindings for this, or should I be using some other approach. The base idea is so that I can have someone just upload a csv into the blob storage and then not worry about having to do anything else.
import logging import pandas as pd from io import BytesIO, StringIO import azure.functions as func def main(myblob: func.InputStream, outputblob: func.Out[func.InputStream]): logging.info(f"Python blob trigger function processed blob \n" f"Name: {myblob.name}\n" f"Blob Size: {myblob.length} bytes" f"Blob URI: {myblob.uri}") blob_bytes = myblob.read() blob_to_read = BytesIO(blob_bytes) df = pd.read_csv(blob_to_read) print("Length of the csv file:" + str(len(df.index))) outputs = df.to_csv(StringIO(), index = False) outputblob.set(outputs)
Not sure if I am approaching the problem the right way with adding the details in function.json or should I be using the AzureBlobService library and using that instead. I've spent quite some time checking stackoverflow and they have one using excel, which is what I based on to use the StringIO() method to output. Thanks for any input you guys have ! P.S, also posted this on LearnPython. EDIT : The outputblog.set(outputs) outputs an empty file...
No module named StringIO (django-storages, Python 3)
Hello, I'm trying to deploy on Heroku and make it work with AWS S3, but turns out it can't properly import boto or django-storages. I've learned that django-storages-redux solves the StringIO import error of Python 3; it works on my development machine, but it's not imported properly when I run the shell on Heroku. Boto, django-storages, and django-storages-redux are in the requirements.txt and are displayed when using pip list.
from django.core.files.storage import default_storage # this works default_storage.exists('test') # returns False on my dev machine, errors on Heroku
EDIT: Apparently Heroku does some weird thing, where the traceback shows ImportError of StringIO from s3boto.py, line 9, but according to this that line should've been changed already. EDIT: Turns out it had to do something with the installed packages being cached; the solution was to change runtime.txt to refresh the whole thing, as suggested here.
'require' cannot load such file (loaderror) ... help! :)
Just got a new laptop and I copied my scripts over and installed Ruby and the gems I want to use. When I try to run a script I get this error. I have been searching Google all night and find similar problems others are having but I can't seem to get my problem fixed. I didn't have this issue on the other laptop. I am on Windows 10. The only thing that I know I did differently on the new computer was also to install rails. I'm at my wit's end, any help would be appreciated.
C:\Users\gonzo\OneDrive\Desktop\Ruby>ruby test.rb Traceback (most recent call last): 2: from test.rb:5:in `' 1: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:92:in `require' C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:92:in `require': cannot load such file -- watir (LoadError) 18: from test.rb:5:in `' 17: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:156:in `require' 16: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:168:in `rescue in require' 15: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:168:in `require' 14: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/watir-6.17.0/lib/watir.rb:1:in `' 13: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 12: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 11: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/selenium-webdriver-3.142.7/lib/selenium-webdriver.rb:20:in `' 10: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 9: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 8: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/selenium-webdriver-3.142.7/lib/selenium/webdriver.rb:20:in `' 7: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 6: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 5: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/childprocess-3.0.0/lib/childprocess.rb:209:in `' 4: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 3: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 2: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/childprocess-3.0.0/lib/childprocess/windows.rb:4:in `' 1: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:92:in `require' C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:92:in `require': cannot load such file -- ffi (LoadError) 17: from test.rb:5:in `' 16: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:156:in `require' 15: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:168:in `rescue in require' 14: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:168:in `require' 13: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/watir-6.17.0/lib/watir.rb:1:in `' 12: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 11: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 10: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/selenium-webdriver-3.142.7/lib/selenium-webdriver.rb:20:in `' 9: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 8: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 7: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/selenium-webdriver-3.142.7/lib/selenium/webdriver.rb:20:in `' 6: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 5: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 4: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/childprocess-3.0.0/lib/childprocess.rb:209:in `' 3: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 2: from C:/Ruby26-x64/lib/ruby/site_ruby/2.6.0/rubygems/core_ext/kernel_require.rb:72:in `require' 1: from C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/childprocess-3.0.0/lib/childprocess/windows.rb:3:in `' C:/Ruby26-x64/lib/ruby/gems/2.6.0/gems/childprocess-3.0.0/lib/childprocess/windows.rb:6:in `rescue in ': FFI is a required pre-requisite for Windows or posix_spawn support in the ChildProcess gem. Ensure the `ffi` gem is installed. If you believe this is an error, please file a bug at http://github.com/enkesslechildprocess/issues (ChildProcess::MissingFFIError)
Is there memory benefit using io.BytesIO/StringIO vs bytes/str
Hi /Python , I'm working on a project and want to determine the best internal interface. I know io.BytesIO/StringIO has a file like interface that's compatible with most method that takes a file pointer. Does io.BytesIO/StringIO behave like files when created with in-memory bytes/str? In a scene that a large file is divided into numbers of logical blocks. It will only read the current block into memory when necessary and write back unnecessary block to disk under memory pressure. I know this caching behavior is done by the kernel, does python do this with io.BytesIO/StringIO? I'm asking this because the real implementation is hiding under this funny _io module that I have no access to.
Scikit learn - decision tree x values are greater than number of columns
I've been staring at this for so long I don't even think I can figure it out at this point. My decision tree is returning x values greater than the number of columns (x19). Why is this happening? Code below, any guidance is super appreciated. import pandas as pd
load data
bank = pd.read_csv("bank.csv") names = list(bank.columns.values) X = bank[['checking_status', 'duration', 'credit_history', 'purpose', 'credit_amount', 'savings_status', 'employment', 'installment_commitment', 'personal_status', 'other_parties', 'residence_since', 'property_magnitude', 'age', 'other_payment_plans', 'housing', 'existing_credits', 'job', 'num_dependents', 'own_telephone', 'foreign_worker' ]] x_index = 0 for column in list(X.columns): print('X' + str(x_index) + ":" + column) x_index += 1 X = pd.get_dummies(X, drop_first=True) y = bank[['target']] y.head bank.dtypes from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 100) from sklearn.tree import DecisionTreeClassifier
initialize the algorithm
dtree=DecisionTreeClassifier()
train a model
dtree.fit(X_train, y_train) from sklearn.metrics import accuracy_score y_pred_train = dtree.predict(X_train) print(accuracy_score(y_train, y_pred_train)) from sklearn.metrics import accuracy_score y_pred_test = dtree.predict(X_test) print(accuracy_score(y_test, y_pred_test))
import the required libraries
from graphviz import Source from sklearn import tree
Hello fellow snakes! I have a strange problem I hope You can help with, at wits' end. Using Python 3.7 on Win10 and Anaconda (Spyder IDE), I am trying to extract text as string from a pdf file using pdfminer.six. When I do so however, a process does run, but nothing gets displayed. It's been a while since I last snakecharmed, so what am I doing wrong? Code example:
from io import StringIO from pdfminer.converter import TextConverter from pdfminer.layout import LAParams from pdfminer.pdfdocument import PDFDocument from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter from pdfminer.pdfpage import PDFPage from pdfminer.pdfparser import PDFParser file = r'C:\Users\grege\Downloads\A Sample PDF.pdf' output_string = StringIO() with open(file, 'rb') as in_file: parser = PDFParser(in_file) doc = PDFDocument(parser) rsrcmgr = PDFResourceManager() device = TextConverter(rsrcmgr, output_string, laparams=LAParams()) interpreter = PDFPageInterpreter(rsrcmgr, device) for page in PDFPage.create_pages(doc): interpreter.process_page(page) print(output_string.getvalue())
How to modify stdin, for interfacing command prompt program?
I need to create a gui for a command prompt program, since it reads user input from stdin (i assume), i would need to "write" to stdin which is not writable. I use tkinter for the gui, and I've successfully used a StringIO object in place of stdout to get the programs prints in a widget. The program runs via Thread. I have access to the source code of said program. I tried using StringIO in place of stdin as well but the program would repeatedly get "eof" as input, and i didn't find a way to stop the program from repeatedly trying to read the object. Edit: the command line program is also written in python Edit 2: Solved! Solution: instead of putting the Cmd subclass (the program) into a loop, i redirected stdout using redirect_stdout from contextlib and emulated the behaviour of the loop by calling Cmd.default method with a line parameter.
I’m working a cleanup project and I have lots of reports that were delivered as .html files, each report is the result of an audit performed by Belarc Advisor and lists the installed software on a desktop pc in multiple tables. I need to inventory the licenses installed in each which is in a table in the output. I have to pull from these html files as that is all I have and all I’m getting. I was gonna use beautiful soup to parse the data but I’m not sure how to use with a html file as the source and not a url. I’ve never used it before. Is there a html parser that can work on files saved to my pc when there is no url (I have no idea why reports were saved as html files). Do I have to cover these to xml? There are a couple hundred and I need it all in a spreadsheet at the end. Thanks.
Greetings, I am trying to run the very first program provided by a tutorial on compilers (Let's build a compiler!). The full text is here. I've tried running in the Python 3.2 interpreter and get the following:
C:\python3>python.exe H:\projects\projects\lbac\cradle.py Enter your code on a single line. Enter '.' by itself to quit. 1 Traceback (most recent call last): File "H:\projects\projects\lbac\cradle.py", line 65, in main() File "H:\projects\projects\lbac\cradle.py", line 61, in main init(inp=StringIO(line)) NameError: global name 'StringIO' is not defined
I understand from 2.7->3 that the 'import io' line should be taking care of StringIO. Is this incorrect / am I missing something?
Hi Everyone ! Thank you kindly for giving up your time to read this. I am currently trying to work on an Azure Function on Logic Apps that triggers on someone uploading a csv to the blob storage. My entire code base is below at the moment. At the moment, I can verify that the pandas dataframe is being read correctly, but I am not sure why my outputblob.set isn't working well. I am also not really sure if this is the right way to approach the problem. In terms of structure, I have a storage account, one container to take in the raw data, and one to drop the output files. The output files should be in either csv or excel format, and there is more than one output per raw file dropped. After that the function should also ingest the data into a MySQL database on Azure. Should I be trying to use the bindings for this, or should I be using some other approach. The base idea is so that I can have someone just upload a csv into the blob storage and then not worry about having to do anything else.
import logging import pandas as pd from io import BytesIO, StringIO import azure.functions as func def main(myblob: func.InputStream, outputblob: func.Out[func.InputStream]): logging.info(f"Python blob trigger function processed blob \n" f"Name: {myblob.name}\n" f"Blob Size: {myblob.length} bytes" f"Blob URI: {myblob.uri}") blob_bytes = myblob.read() blob_to_read = BytesIO(blob_bytes) df = pd.read_csv(blob_to_read) print("Length of the csv file:" + str(len(df.index))) outputs = df.to_csv(StringIO(), index = False) outputblob.set(outputs)
Not sure if I am approaching the problem the right way with adding the details in function.json or should I be using the AzureBlobService library and using that instead. I've spent quite some time checking stackoverflow and they have one using excel, which is what I based on to use the StringIO() method to output. Thanks for any input you guys have !
The problem is, that it was replaced in Python 3 by from io import StringIO This bug always occures for me (Python 3.6), and was generated by this issue fix 👍 13 For example, I had some code which used StringIO.StringIO or io.StringIO depending on Python version, but I was actually passing a byte string, so when I got around to testing it in Python 3.x it failed and had to be fixed. Another advantage of using io.StringIO is the support for universal newlines. Reading file using StringIO It is also possible to read a file and stream it over a network as Bytes. The io module can be used to convert a media file like an image to be converted to bytes. The StringIO module an in-memory file-like object. This object can be used as input or output to the most function that would expect a standard file object. When the StringIO object is created it is initialized by passing a string to the constructer. Reactive. Spring's asynchronous, nonblocking architecture means you can get more from your computing resources.
jogando StringIO ao som de dont be sad e Death Bed For a full written tutorial please visit https://www.mastercode.online *Note - We no longer answer questions on YouTube, If you have a question please visit ... Wormate.io Best Trolling Pro Never Mess With Tiny Snake Epic Wormateio Funny/Best Moments! #N1 - Duration: 11:31. Slither MasterSp 23,236,755 views Tipos de buffer customizaveis Como utilizar os buffers StringIO e BytesIO Diferença entre os buffers Como redirecionar a saída da função print Bibliografia: Programming Python - pg 126 a 128 ... The next video is starting stop. Loading... Watch Queue
