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Reading a huge .csv file
I'm currently trying to read data from .csv files in Python 2.7 with up to 1 million rows, and 200 columns (files range from 100mb to 1.6gb). I can do this (very slowly) for the files with under 300,000 rows, but once I go above that I get memory errors. My code looks like this:
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Can't Find Theme.AppCompat.Light for New Android ActionBar Support
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Oracle PL/SQL - How to create a simple array variable?
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245
You can use VARRAY for a fixed-size array:
declare
type array_t is varray(3) of varchar2(1...
Should I use Python 32bit or Python 64bit
...stallation. Must I use Python 64bit? What are the differences between the 32bit and 64bit Python versions anyway? Do different Python packages (such as south, django, mysqldb etc) support only 32bit/64bit?
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What is this crazy C++11 syntax ==> struct : bar {} foo {};?
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How to change a TextView's style at runtime
... a ClickListener to trap the tap event on that TextView:
EDIT:
As from API 23 'setTextAppearance' is deprecated
myTextView.setOnClickListener(new View.OnClickListener() {
public void onClick(View view){
//highlight the TextView
//myTextVie...
Difference between margin and padding?
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22 Answers
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How can I convert my device token (NSData) into an NSString?
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Unique BooleanField value in Django?
...f).
class Character(models.Model):
name = models.CharField(max_length=255)
is_the_chosen_one = models.BooleanField()
def save(self, *args, **kwargs):
if self.is_the_chosen_one:
try:
temp = Character.objects.get(is_the_chosen_one=True)
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