How to read the entire urls from the first column in a csv fileHow do I check whether a file exists without exceptions?How do I copy a file in Python?How do I modify the URL without reloading the page?How to get the value from the GET parameters?How do you read from stdin?How can I open a URL in Android's web browser from my application?How to change the URI (URL) for a remote Git repository?How do I list all files of a directory?How to read a file line-by-line into a list?Why is reading lines from stdin much slower in C++ than Python?

Could a person damage a jet airliner - from the outside - with their bare hands?

empApi with Lightning Web Components?

Does the new finding on "reversing a quantum jump mid-flight" rule out any interpretations of QM?

Is there a set of positive integers of density 1 which contains no infinite arithmetic progression?

Why the output signal of my amplifier is heavily distorted

Increase speed altering column on large table to NON NULL

How do free-speech protections in the United States apply in public to corporate misrepresentations?

How to befriend someone who doesn't like to talk?

Does putting salt first make it easier for attacker to bruteforce the hash?

Why does Inuyasha stop using Blades of Blood after the first few episodes

What aircraft was used as Air Force One for the flight between Southampton and Shannon?

Is it okay to have a sequel start immediately after the end of the first book?

Does the Nuka-Cola bottler actually generate nuka cola?

If there's something that implicates the president why is there then a national security issue? (John Dowd)

Why did the World Bank set the global poverty line at $1.90?

Printing Pascal’s triangle for n number of rows in Python

Why is Na5 not played in this line of the French Defense, Advance Variation?

Can you make an identity from this product?

What are formats in LaTeX and how to manage them?

60s or 70s novel about Empire of Man making 1st contact with 1st discovered alien race

Write a function that checks if a string starts with or contains something

How can I remove material from this wood beam?

C++ logging library

Who won a Game of Bar Dice?



How to read the entire urls from the first column in a csv file


How do I check whether a file exists without exceptions?How do I copy a file in Python?How do I modify the URL without reloading the page?How to get the value from the GET parameters?How do you read from stdin?How can I open a URL in Android's web browser from my application?How to change the URI (URL) for a remote Git repository?How do I list all files of a directory?How to read a file line-by-line into a list?Why is reading lines from stdin much slower in C++ than Python?






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








2















I am trying to read the urls from the first column in a csv file. In the csv file, there are 6051 urls in total which I want to read. To do so, I tried the following codes:



 urls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
blogurl = csv.reader(csvfile)
for row in blogurl:
row = row[0]
print(row)


len(row)



However, the number of urls that are shown is only 65. I have no idea why the total number of urls appears differently from the csv file.



Can anybody help me with figuring out how to read all urls (6051 in total) from the csv file?



To read all the urls from the csv file, I also tried several different codes that resulted in the same number of urls (i.e., 65 urls) or failure, such as:
1)



 openfile = open("C:/Users/hyoungm/Downloads/urls.csv")
r = csv.reader(openfile)
for i in r:
#the urls are in the first column ... 0 refers to the first column
blogurls = i[0]
print (blogurls)
len(blogurls)


2)



 urls = pd.read_csv("C:/Users/hyoungm/Downloads/urls.csv")
with closing(requests.get(urls, stream = True)) as r:
reader = csv.reader(r.iter_lines(), delimiter = ',', quotechar = '""')
for row in reader:
print(row)
len(row)


3)



 with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
lines = csv.reader(csvfile)
for i, line in enumerate(lines):
if i == 0:
for line in csvfile:
print(line[1:])
len(line)


4) and



 blogurls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
r = csv.reader(csvfile)
for i in r:
blogurl = i[0]
r = requests.get(blogurl)
blogurls.append(blogurl)

for url in blogurls:
page = urlopen(url[0]).read()
soup = BeautifulSoup(page, "html.parser")
len(blogurls)


I expect the output of 6051 urls as originally collected in the csv file, instead of 65 urls.



After reading all the urls, I am going to scrawl down the textual data from each url. I supposed to get the following textual data using all 6051 urls. Please click the following link for the image:



the codes and the outcomes based on 65 urls so far










share|improve this question
























  • Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

    – Elias Strehle
    Mar 24 at 21:08












  • @EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

    – Hyoungeun Moon
    Mar 24 at 21:43











  • Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

    – Elias Strehle
    Mar 24 at 21:48











  • When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

    – Hyoungeun Moon
    Mar 26 at 5:44












  • Can you upload somewhere public? On GitHub for example?

    – Elias Strehle
    Mar 26 at 9:18

















2















I am trying to read the urls from the first column in a csv file. In the csv file, there are 6051 urls in total which I want to read. To do so, I tried the following codes:



 urls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
blogurl = csv.reader(csvfile)
for row in blogurl:
row = row[0]
print(row)


len(row)



However, the number of urls that are shown is only 65. I have no idea why the total number of urls appears differently from the csv file.



Can anybody help me with figuring out how to read all urls (6051 in total) from the csv file?



To read all the urls from the csv file, I also tried several different codes that resulted in the same number of urls (i.e., 65 urls) or failure, such as:
1)



 openfile = open("C:/Users/hyoungm/Downloads/urls.csv")
r = csv.reader(openfile)
for i in r:
#the urls are in the first column ... 0 refers to the first column
blogurls = i[0]
print (blogurls)
len(blogurls)


2)



 urls = pd.read_csv("C:/Users/hyoungm/Downloads/urls.csv")
with closing(requests.get(urls, stream = True)) as r:
reader = csv.reader(r.iter_lines(), delimiter = ',', quotechar = '""')
for row in reader:
print(row)
len(row)


3)



 with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
lines = csv.reader(csvfile)
for i, line in enumerate(lines):
if i == 0:
for line in csvfile:
print(line[1:])
len(line)


4) and



 blogurls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
r = csv.reader(csvfile)
for i in r:
blogurl = i[0]
r = requests.get(blogurl)
blogurls.append(blogurl)

for url in blogurls:
page = urlopen(url[0]).read()
soup = BeautifulSoup(page, "html.parser")
len(blogurls)


I expect the output of 6051 urls as originally collected in the csv file, instead of 65 urls.



After reading all the urls, I am going to scrawl down the textual data from each url. I supposed to get the following textual data using all 6051 urls. Please click the following link for the image:



the codes and the outcomes based on 65 urls so far










share|improve this question
























  • Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

    – Elias Strehle
    Mar 24 at 21:08












  • @EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

    – Hyoungeun Moon
    Mar 24 at 21:43











  • Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

    – Elias Strehle
    Mar 24 at 21:48











  • When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

    – Hyoungeun Moon
    Mar 26 at 5:44












  • Can you upload somewhere public? On GitHub for example?

    – Elias Strehle
    Mar 26 at 9:18













2












2








2








I am trying to read the urls from the first column in a csv file. In the csv file, there are 6051 urls in total which I want to read. To do so, I tried the following codes:



 urls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
blogurl = csv.reader(csvfile)
for row in blogurl:
row = row[0]
print(row)


len(row)



However, the number of urls that are shown is only 65. I have no idea why the total number of urls appears differently from the csv file.



Can anybody help me with figuring out how to read all urls (6051 in total) from the csv file?



To read all the urls from the csv file, I also tried several different codes that resulted in the same number of urls (i.e., 65 urls) or failure, such as:
1)



 openfile = open("C:/Users/hyoungm/Downloads/urls.csv")
r = csv.reader(openfile)
for i in r:
#the urls are in the first column ... 0 refers to the first column
blogurls = i[0]
print (blogurls)
len(blogurls)


2)



 urls = pd.read_csv("C:/Users/hyoungm/Downloads/urls.csv")
with closing(requests.get(urls, stream = True)) as r:
reader = csv.reader(r.iter_lines(), delimiter = ',', quotechar = '""')
for row in reader:
print(row)
len(row)


3)



 with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
lines = csv.reader(csvfile)
for i, line in enumerate(lines):
if i == 0:
for line in csvfile:
print(line[1:])
len(line)


4) and



 blogurls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
r = csv.reader(csvfile)
for i in r:
blogurl = i[0]
r = requests.get(blogurl)
blogurls.append(blogurl)

for url in blogurls:
page = urlopen(url[0]).read()
soup = BeautifulSoup(page, "html.parser")
len(blogurls)


I expect the output of 6051 urls as originally collected in the csv file, instead of 65 urls.



After reading all the urls, I am going to scrawl down the textual data from each url. I supposed to get the following textual data using all 6051 urls. Please click the following link for the image:



the codes and the outcomes based on 65 urls so far










share|improve this question
















I am trying to read the urls from the first column in a csv file. In the csv file, there are 6051 urls in total which I want to read. To do so, I tried the following codes:



 urls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
blogurl = csv.reader(csvfile)
for row in blogurl:
row = row[0]
print(row)


len(row)



However, the number of urls that are shown is only 65. I have no idea why the total number of urls appears differently from the csv file.



Can anybody help me with figuring out how to read all urls (6051 in total) from the csv file?



To read all the urls from the csv file, I also tried several different codes that resulted in the same number of urls (i.e., 65 urls) or failure, such as:
1)



 openfile = open("C:/Users/hyoungm/Downloads/urls.csv")
r = csv.reader(openfile)
for i in r:
#the urls are in the first column ... 0 refers to the first column
blogurls = i[0]
print (blogurls)
len(blogurls)


2)



 urls = pd.read_csv("C:/Users/hyoungm/Downloads/urls.csv")
with closing(requests.get(urls, stream = True)) as r:
reader = csv.reader(r.iter_lines(), delimiter = ',', quotechar = '""')
for row in reader:
print(row)
len(row)


3)



 with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
lines = csv.reader(csvfile)
for i, line in enumerate(lines):
if i == 0:
for line in csvfile:
print(line[1:])
len(line)


4) and



 blogurls = []
with open("C:/Users/hyoungm/Downloads/urls.csv") as csvfile:
r = csv.reader(csvfile)
for i in r:
blogurl = i[0]
r = requests.get(blogurl)
blogurls.append(blogurl)

for url in blogurls:
page = urlopen(url[0]).read()
soup = BeautifulSoup(page, "html.parser")
len(blogurls)


I expect the output of 6051 urls as originally collected in the csv file, instead of 65 urls.



After reading all the urls, I am going to scrawl down the textual data from each url. I supposed to get the following textual data using all 6051 urls. Please click the following link for the image:



the codes and the outcomes based on 65 urls so far







python url






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 24 at 21:33







Hyoungeun Moon

















asked Mar 24 at 20:53









Hyoungeun MoonHyoungeun Moon

124




124












  • Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

    – Elias Strehle
    Mar 24 at 21:08












  • @EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

    – Hyoungeun Moon
    Mar 24 at 21:43











  • Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

    – Elias Strehle
    Mar 24 at 21:48











  • When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

    – Hyoungeun Moon
    Mar 26 at 5:44












  • Can you upload somewhere public? On GitHub for example?

    – Elias Strehle
    Mar 26 at 9:18

















  • Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

    – Elias Strehle
    Mar 24 at 21:08












  • @EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

    – Hyoungeun Moon
    Mar 24 at 21:43











  • Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

    – Elias Strehle
    Mar 24 at 21:48











  • When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

    – Hyoungeun Moon
    Mar 26 at 5:44












  • Can you upload somewhere public? On GitHub for example?

    – Elias Strehle
    Mar 26 at 9:18
















Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

– Elias Strehle
Mar 24 at 21:08






Is it possible that you post part of the CSV file here? Might be a formatting issue (unexpected newline characters or separators). Since your CSV is not very large, you could read it in in full with open(...) as csvfile: content = file.read(). Then you could do some analysis to check if the file is read correctly, e.g. see if len(content.splitlines()) == 6051.

– Elias Strehle
Mar 24 at 21:08














@EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

– Hyoungeun Moon
Mar 24 at 21:43





@EliasStrehle Thank you for your suggestion. I tried your code and it shows the total number of 6051. However, the links are still only 65. In addition, using the codes you suggested, I cannot extract the textual data that I was able to (please see the attached image in my question). Would you mind me sending me the csv file to your email or other channels? I was unable to find how to attach the file here. Thank you again!

– Hyoungeun Moon
Mar 24 at 21:43













Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

– Elias Strehle
Mar 24 at 21:48





Try to separate getting the list of URLs from actually crawling them. That makes it easier to debug. What do you see when you run the loop with print(row)? Does it print only 65 URLs or does it print 6051 URLs?

– Elias Strehle
Mar 24 at 21:48













When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

– Hyoungeun Moon
Mar 26 at 5:44






When I run print(row), it shows the 65 urls although there are actually 6051 urls in the first column. I am not sure why the codes can't read all 6051 urls. I need all the urls to scrawl down the textual data from them (shown in the image above). Would you mind trying again with my csv file?

– Hyoungeun Moon
Mar 26 at 5:44














Can you upload somewhere public? On GitHub for example?

– Elias Strehle
Mar 26 at 9:18





Can you upload somewhere public? On GitHub for example?

– Elias Strehle
Mar 26 at 9:18












1 Answer
1






active

oldest

votes


















0














The following two approaches work for me:



import requests

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
urls = r.text.splitlines()

print(len(urls)) # Returns 6051


and



import csv
import requests
from io import StringIO

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
reader = csv.reader(StringIO(r.text))
urls = [line[0] for line in reader]

print(len(urls)) # Returns 6051





share|improve this answer























  • Wow, I will try these. Thank you for your check!

    – Hyoungeun Moon
    Mar 29 at 0:28











Your Answer






StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");

StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);

else
createEditor();

);

function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);



);













draft saved

draft discarded


















StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55328465%2fhow-to-read-the-entire-urls-from-the-first-column-in-a-csv-file%23new-answer', 'question_page');

);

Post as a guest















Required, but never shown

























1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














The following two approaches work for me:



import requests

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
urls = r.text.splitlines()

print(len(urls)) # Returns 6051


and



import csv
import requests
from io import StringIO

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
reader = csv.reader(StringIO(r.text))
urls = [line[0] for line in reader]

print(len(urls)) # Returns 6051





share|improve this answer























  • Wow, I will try these. Thank you for your check!

    – Hyoungeun Moon
    Mar 29 at 0:28















0














The following two approaches work for me:



import requests

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
urls = r.text.splitlines()

print(len(urls)) # Returns 6051


and



import csv
import requests
from io import StringIO

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
reader = csv.reader(StringIO(r.text))
urls = [line[0] for line in reader]

print(len(urls)) # Returns 6051





share|improve this answer























  • Wow, I will try these. Thank you for your check!

    – Hyoungeun Moon
    Mar 29 at 0:28













0












0








0







The following two approaches work for me:



import requests

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
urls = r.text.splitlines()

print(len(urls)) # Returns 6051


and



import csv
import requests
from io import StringIO

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
reader = csv.reader(StringIO(r.text))
urls = [line[0] for line in reader]

print(len(urls)) # Returns 6051





share|improve this answer













The following two approaches work for me:



import requests

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
urls = r.text.splitlines()

print(len(urls)) # Returns 6051


and



import csv
import requests
from io import StringIO

r = requests.get('https://raw.githubusercontent.com/GemmyMoon/MultipleUrls/master/urls.csv')
reader = csv.reader(StringIO(r.text))
urls = [line[0] for line in reader]

print(len(urls)) # Returns 6051






share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 28 at 10:13









Elias StrehleElias Strehle

416416




416416












  • Wow, I will try these. Thank you for your check!

    – Hyoungeun Moon
    Mar 29 at 0:28

















  • Wow, I will try these. Thank you for your check!

    – Hyoungeun Moon
    Mar 29 at 0:28
















Wow, I will try these. Thank you for your check!

– Hyoungeun Moon
Mar 29 at 0:28





Wow, I will try these. Thank you for your check!

– Hyoungeun Moon
Mar 29 at 0:28



















draft saved

draft discarded
















































Thanks for contributing an answer to Stack Overflow!


  • Please be sure to answer the question. Provide details and share your research!

But avoid


  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.

To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55328465%2fhow-to-read-the-entire-urls-from-the-first-column-in-a-csv-file%23new-answer', 'question_page');

);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

Kamusi Yaliyomo Aina za kamusi | Muundo wa kamusi | Faida za kamusi | Dhima ya picha katika kamusi | Marejeo | Tazama pia | Viungo vya nje | UrambazajiKuhusu kamusiGo-SwahiliWiki-KamusiKamusi ya Kiswahili na Kiingerezakuihariri na kuongeza habari

Swift 4 - func physicsWorld not invoked on collision? The Next CEO of Stack OverflowHow to call Objective-C code from Swift#ifdef replacement in the Swift language@selector() in Swift?#pragma mark in Swift?Swift for loop: for index, element in array?dispatch_after - GCD in Swift?Swift Beta performance: sorting arraysSplit a String into an array in Swift?The use of Swift 3 @objc inference in Swift 4 mode is deprecated?How to optimize UITableViewCell, because my UITableView lags

Access current req object everywhere in Node.js ExpressWhy are global variables considered bad practice? (node.js)Using req & res across functionsHow do I get the path to the current script with Node.js?What is Node.js' Connect, Express and “middleware”?Node.js w/ express error handling in callbackHow to access the GET parameters after “?” in Express?Modify Node.js req object parametersAccess “app” variable inside of ExpressJS/ConnectJS middleware?Node.js Express app - request objectAngular Http Module considered middleware?Session variables in ExpressJSAdd properties to the req object in expressjs with Typescript