python-tutorial | A Python 3 programming tutorial for beginners | Learning library
kandi X-RAY | python-tutorial Summary
kandi X-RAY | python-tutorial Summary
A Python 3 programming tutorial for beginners.
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- Check to see if this file exists
- Return the list of filenames in the README md file
- Get all markdown files
- Return the contents of the README md file
- Generate a GitHub header link
- Update end of file
- Find links in a file
- Ask the user for a yes or no answer
- Update a file
- Find all titles in a file
- Fix filename
- Get line number from filename
- Wrap text
- Create a directory and open it
python-tutorial Key Features
python-tutorial Examples and Code Snippets
Lines of Code : 52License : Strong Copyleft (AGPL-3.0)
Copyimport abtree
t = abtree.Table() # Create an empty in memory table
t['foo'] = 6
t['bar'] = 5
t['baz'] = 10
t['quux'] = 10
>>> print t.keys()
['bar', 'baz', 'foo', 'quux']
>>> t = abtree.Table()
>>> t['a'] = 3
>> from SampleServicePbResult_pb2 import SampleServicePbResult
from SampleServicePbRequest_pb2 import SampleServicePbRequest
from anthunder import AioClient
from anthunder.discovery.mosn import MosnClient, ApplicationInfo
spanctx = ctx from anthunder import AioListener
from anthunder.discovery.mosn import MosnClient, ApplicationInfo
class SampleService(object):
def __init__(self, ctx):
# service must accept one param as spanctx for rpc tracing support
self.ctx Community Discussions
Trending Discussions on python-tutorial
QUESTION
I am new to Python and struggling to understand the different ways to install packages. I am on MacOS Catalina.
I tried installing the Python package CytoPy (https://github.com/burtonrj/CytoPy) in the terminal:
...ANSWER
Answered 2021-Dec-20 at 20:18Your env is python3 and pip on mac is python2. I think. Try and use pip3 for the install or run your env in python2. Might be using different python verions.
QUESTION
I'm trying to create a dataset suitable for a Gaussian distribution. The x and y values will be the same, and on the z-axis, these values will be in accordance with the gaussian distribution. Taking this site as a resource for myself: https://towardsdatascience.com/a-python-tutorial-on-generating-and-plotting-a-3d-guassian-distribution-8c6ec6c41d03 I wrote the following code. But unfortunately, the output I got was not like the one in the link I gave. I think there is an error with the mathematical formulas. I would be very happy if you could help me fix it. While I was waiting for a graph like this I got that kind of graph.
Thank you in advance.
...ANSWER
Answered 2021-Dec-26 at 16:42The function np_bivariate_normal_pdf() uses the formula for the one-dimensional normal distribution, while you intend to compute the multivariate normal distribution. The multivariate distribution depends on a mean which is a vector (this determines where the peak of the graph is located), and a covariance matrix (which controls how steep the graph is as you approach the peak from different sides). In your function both mean and variance are numbers, and the formula you are using actually does not involve these parameters at all. You can change your code to fix it, or you can use one of several Python libraries (e.g. scipy.stats) that have the multivariate normal distribution implemented.
QUESTION
I have some confusion about the method implementation in Python. Any help in that regard would be appreciated.
I found this closely-related post, which is quite useful, but not answering my questions.
My problem: The following statements from the last paragraph of Section 9.3.4 from Python documentation are not quite clear to me.
When a non-data attribute of an instance is referenced, the instance’s class is searched. If the name denotes a valid class attribute that is a function object, a method object is created by packing (pointers to) the instance object and the function object just found together in an abstract object: this is the method object. When the method object is called with an argument list, a new argument list is constructed from the instance object and the argument list, and the function object is called with this new argument list.
My initial understanding from the doccumentation was very similar to that of @vaughn-mcgill-adami as described in their post: when a class instance object calls its method object, a search would be done on the class object for the corresponding function object. If found, then calling that function owned by the class object with the class instance object as the first parameter.
However, after some coding, it seems to me that my understanding may not be correct. The reason is that one could delete the class object. Yet, calling the method object can still be done with no problem, whereas passing the class instance object to the function object from the class object would result in an error, since there would be no class object anymore after its deletion.
The following code snippet aims at better explaining my questions:
...ANSWER
Answered 2021-Dec-24 at 03:30Basically, if the class object is deleted, as in my code snippet, then there is no class object to be searched on in the first place. There will be no function object to be pointed to either.
This is your fundamental misunderstanding.
del does not delete objects.
Indeed, Python the language provides no way to manually delete objects (or manually manage memory, i.e. it is a memory-managed language).
del removes names from namespaces.
When you del myclass, you simply removed that name from that module's namespace. But the class object still exists, for one, it is being referenced by all instances of that class, my_object.__class__, and like any other object, will continue to exist as long as references to it exist.
So, consider the following example with del:
QUESTION
I just started learning python and I wanted to use some packages. I'm using VS code. so, I copied this code from here but it gave me this error:
...ANSWER
Answered 2021-Sep-14 at 16:16Make sure you have installed the packages.
From the Python Environments window,
- select the default environment for new Python projects and choose the Packages tab.
- You will then see a list of packages that are currently installed in the environment.
- Install
matplotlibby entering its name into the search field and then selecting the Run command:pip install matplotliboption. This will install matplotlib, as well as any packages it depends on.
Also in the link you provided, your issue is mentioned on the bottom with instruction on how to install packages.
QUESTION
i recently made a site, following this tutorial https://pythonprogramming.net/django-web-development-python-tutorial . I have uploaded it, however now in the meta-description shows me this:
"For full functionality of this site it is necessary to enable JavaScript. Here are the instructions how to enable JavaScript in your web browser"
The site is made from django.Do you know where the mistake might be? The site is http://birminghamcleaner.co.uk/ .
...ANSWER
Answered 2021-Feb-26 at 18:07The culprit is this part. Remove it and you're golden:
QUESTION
I am training on how to scrape some data in python and here's my try:
...ANSWER
Answered 2021-Feb-14 at 07:47You can actually do it with a single list comprehension.
Basically, what you have is the right approach, you just need to create a list of lists using your list comprehension.
For each match returned by soup.select, you can extract both the text and href together.
Then, using the csv module, you can pass this list of lists to csv.writerows to create the CSV file for viewing in Excel or other tools, data processing, etc.
You can also optionally prepend a header to the list of lists, if you want, e.g. ['Title', 'URL'].
Here is a full working example:
QUESTION
Working on an exercise from MIT's OpenCourseWare 6.01SC. Problem 3.1.5:
Define a function
clip(lo, x, hi)that returnsloifxis less thanlo, returnshiifxis greater thanhi, and returnsxotherwise. You can assume thatlo < hi. ...don't useif, but useminandmax.
Reformulated in English, if x is the least of the arguments, return lo; if x is the greatest of the arguments, return hi; otherwise, return x. Thus:
ANSWER
Answered 2020-Oct-22 at 23:51You can return this formula:
QUESTION
I have a dict that was saved as JSON in Python, which is as shown in the code below.
ANSWER
Answered 2020-Sep-02 at 05:03You are converting dictionary to JSON and then again to JSON using JSON.dump twice.
Just use it once while writing the file.
QUESTION
I am writing a project from the Automate The Boring Stuff book. The task is the following:
Image Site Downloader
Write a program that goes to a photo-sharing site like Flickr or Imgur, searches for a category of photos, and then downloads all the resulting images. You could write a program that works with any photo site that has a search feature.
Here is my code:
...ANSWER
Answered 2020-Jul-26 at 11:34First off - scraping 4 million results from a website like Flicker is likely to be unethical. Web scrapers should do their best to respect the website from which they are scraping by minimizing their load on servers. 4 million requests in a short amount of time is likely to get your IP banned. If you used proxies you could get around this but again - highly unethical. You also run into the risk of copyright issues since a lot of the images on flicker are subject to copyright.
If you were to go about doing this you would have to use Scrapy and possibly a Scrapy-Selenium combo. Scrapy is great for running concurrent requests meaning you can request a large number of images at the same time. You can learn more about Scrapy here:https://docs.scrapy.org/en/latest/
The workflow would look something like this:
- Scrapy makes a request to the website for the html - parse through it to find all tags with class='overlay no-outline'
- Scrapy makes a request to each url concurrently. This means that the urls won't be followed one by one but instead side by side.
- As the images are returned they get added to your database/storage space
- Scrapy (maybe Selenium) scrolls the infinitely scrolling page and repeats without iterating over already checked images (keep index of last scanned item).
This is what Scrapy would entail but I strongly recommend not attempting to scrape 4 million elements. You would probably find that the performance issues you run into would not be worth your time especially since this is supposed to be a learning experience and you will likely never have to scrape that many elements.
QUESTION
i'm using API to load my data and make prediction. I have seen documentation to train model using code (https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/python-tutorial) but I can't figure how to chose training time of my model using the API?
edit: curently i'm importing data using code, training model using azure portal, and making prediction with code
edit2: more info about global process i'm using Azure congitive service to do an image classification task, multiclass (images can belong to only 1 label).
...ANSWER
Answered 2020-Jan-07 at 09:12Basically to queue project for training, you have to use below API :
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You can use python-tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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