Python

Opening and Reading Text Files by Buffer Size – Python

Bydatapandasadmin March 21, 2016August 15, 2016

Today, I went through “Opening and Reading Text Files by Buffer Size” with a friend of mine who wanted to grasp the basic concepts of Python

This is a simple but straightforward tutorial into the “Opening and Reading Text Files by Buffer Size

We further delved into opening and reading binary files. In our case was opening and reading images and renaming them.

Sample code from idle shell

opening and reading txt files1

The textbook for this work was Python: Learn Python in One Day and Learn It Well by Jamie Chan

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Azure Machine Learning | Data Science | Machine Learning | Python

Deploy Productionalise Azure Machine Learning Algorithm Using Python
ByBernard Adabankah July 24, 2018

This is a script to consume Azure Machine Learning Model which you build using Azure ML Studio. So basically this is a Request-Response Service (RRS) according to Microsoft. This was a Boosted Decision Tree Algorithm build with Census Adult Data which is available as one of the Sample DataSet in Azure ML. You can adapt the…

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Python

WindowsError: [Error 5] Access is denied: Anaconda Python Pip Installs and Upgrade

Bydatapandasadmin January 6, 2017January 6, 2017

I was trying to run a pip install ( pip install scikit-learn) and I encountered this error:

C:\Users\adaba>pip install -U scikit-learn

Collecting scikit-learn

Using cached scikit_learn-0.18.1-cp27-cp27m-win_amd64.whl

Installing collected packages: scikit-learn

Found existing installation: scikit-learn 0.17.1

DEPRECATION: Uninstalling a distutils installed project (scikit-learn) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.

Uninstalling scikit-learn-0.17.1:

Exception:

Traceback (most recent call last):

File "C:\Program Files\Anaconda2\lib\site-packages\pip\basecommand.py", line 215, in main

status = self.run(options, args)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\commands\install.py", line 317, in run

prefix=options.prefix_path,

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_set.py", line 736, in install

requirement.uninstall(auto_confirm=True)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_install.py", line 742, in uninstall

paths_to_remove.remove(auto_confirm)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_uninstall.py", line 115, in remove

renames(path, new_path)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\utils\__init__.py", line 267, in renames

shutil.move(old, new)

File "C:\Program Files\Anaconda2\lib\shutil.py", line 303, in move

os.unlink(src)

WindowsError: [Error 5] Access is denied: 'c:\\program files\\anaconda2\\lib\\site-packages\\scikit_learn-0.17.1-py2.7.egg-info'

This is the bit we are interested in ”

1	WindowsError: [Error 5] Access is denied: 'c:\\program files\\anaconda2\\lib\\site-packages\\scikit_learn-0.17.1-py2.7.egg-info'

” if you look at the error it states “WindowsError” Hence the Access Denied error is due to not having the right level of privileges to carry…

Data Science | Machine Learning | Python

Natural Language Processing Machine Learning Algorithm Model Python – NLP
Bydatapandasadmin September 4, 2016August 12, 2017

In this guide, we take a look at Natural Language Processing, NLP in Python. Natural Language is a very extensive topic and very powerful machine learning algorithm you can build. This is very useful in many areas of most industries. Credits to Jose Portilla, creator of Learning Python for Data Analysis and Visualization course on Udemy …

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Python | Uncategorized

Save Python Pivot Table in Excel Sheets ExcelWriter

Bydatapandasadmin October 5, 2016October 23, 2016

Untitled This is a quick script on how to save Python pivot_table in an excel file. Credit to pbpython In [1]:

import sqlalchemy

import pyodbc

from pandas import DataFrame

import pandas as pd

In [2]:

df = DataFrame

## connect to SqlServer Database and get information.

try:

import urllib

params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=Antrak;Trusted_Connection=yes;")

engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params)

resoverall = engine.execute("SELECT * FROM FlightBookingsMain")

df = df(resoverall.fetchall())

df.columns = resoverall.keys()

except (RuntimeError, TypeError, NameError):

print('Error in Conneccting')

print(RuntimeError, TypeError, NameError)

finally:

print("connected")

connected

In [8]:

df.head()

Out[8]: First Name Last Name Sex Phone Fax Email Address Booking Date Departure Date Arrival Date Address1 … Number of Passengers Total Cost Currency Numeric Code…

Python

Array Processing – Python Numpy – How to work with Arrays in Python

Bydatapandasadmin August 19, 2016October 23, 2016

Hi Guys, Thanks for all your emails. In this note, we will be looking at Array Processing in Python. This is part of lectures on Learning Python for Data Analysis and Visualization by Jose Portilla on Udemy. In [3]:

import numpy as np

import matplotlib.pyplot as plt

%matplotlib inline

In [4]:

1	points = np.arange(-5,5,0.01)

In [5]:

1	dx, dy = np.meshgrid(points,points)

In [6]:

Out[6]:

array([[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

...,

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99]])

In [7]:

Out[7]:

array([[-5. , -5. , -5. , ..., -5. , -5. , -5. ],

[-4.99, -4.99, -4.99, ..., -4.99, -4.99, -4.99],

[-4.98, -4.98, -4.98, ..., -4.98, -4.98, -4.98],

...,

[ 4.97, 4.97, 4.97, ..., 4.97, 4.97, 4.97],

[ 4.98, 4.98, 4.98, ..., 4.98, 4.98, 4.98],

[ 4.99, 4.99, 4.99, ..., 4.99, 4.99, 4.99]])

In [8]:…

Coursera | Data Science | Python

Exploring Statistical Analysis in the Context of Correlation – Testing a Potential Moderator
Bydatapandasadmin January 24, 2016October 23, 2016

Exploring Statistical Analysis in the Context of Correlation Chosen Dataset I will be working with Data from the Gapminder dataset. This happens to be the same dataset I worked with under the Data Management and Visualization course assignments. As elaborated and discussed in under the Data Management and Visualization course assignments, I have chosen to focus on the country,…

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Opening and Reading Text Files by Buffer Size – Python

Deploy Productionalise Azure Machine Learning Algorithm Using Python

WindowsError: [Error 5] Access is denied: Anaconda Python Pip Installs and Upgrade

Natural Language Processing Machine Learning Algorithm Model Python – NLP

Save Python Pivot Table in Excel Sheets ExcelWriter

Array Processing – Python Numpy – How to work with Arrays in Python

Exploring Statistical Analysis in the Context of Correlation – Testing a Potential Moderator

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