Example of Steemit Analysis by Using Python #Tutorial-1

in utopian-io •  last year

What Will I Learn?

This tutorial covers the topics on obtaining information from the internet page by using Python.

  • First of all you will learn how to Python setup for Windows briefly.
  • Then, you will learn how to PyCharm which is a program to use Phyton language briefly.
  • Then, you will learn how to add packages for Python by using PyCharm program.
  • Then, you will learn how to import the packages briefly.
  • Then, you will learn how to use for and if statements briefly.
  • Then, you will learn how to obtain information from the internet page.
  • Then, you will learn to get some information from Steemit member page.

Requirements

For this tutorial, you need Python 3.6.4 (actually you do not need newest version but always updating the Python is useful for you.) and PyCharm program.

  • For Python 3.6.4 => you can download here for free.
  • For PyCharm program => you can download here for free (30 days trial).

Difficulty

This tutorial has an indermadiate level.

Tutorial Contents

We want to build a program to make an analysis for Steemit members such as personalized tags, blog headings, wallet etc. Today, we will show how you can take information from a website by using Python.

First of we need to setup Python for Windows to use it. For this issue, below pictures are easy to understand and make setup:

foto1.png

Then we need to setup PyCharm program to work Python and you can download it like this:

foto2.png

After setup Python and PyCharm program, you need to open PyCharm program and the design will be like this and you can create files by right clicking the folder which is named untitled1 for us. Then you need to choose new and then Python file. After giving a name for file you are ready.

foto3.png

Now, you are ready to write your code in Python. Before starting to write the codes we need some packages which is written programmers and we can use these packages for free. We like Python due to its open source. Also you can create your packages and you can advertise it. Anyway, let's learn how to download packages. You need to choose File>Settings then there will be a pop-up menu which is related to general settings and also Project Interpreter menu. You can see the dowloaded packages and also you can add all packages here.

foto4.png

For our tutorial we need to dowload beautifulsoup4 and requests packages.

foto5.png

We want to skip some basic learnings such as math operations, strings, variables, print etc. Also we think that with a written program you can learn a program much more easier. To achieve our goal for this tutorial, we will use two important operations which are for loop and if statement. We will explain these operations also into the code.

First of all, we need import the packages which we need to use in our program.

foto6.png

Now, we need to find a website to get information from it. We used our Steemit homepage which is "https://steemit.com/@onderakcaalan" Lets see, what kind of info we can take from that page. To do that you can right click the page and choose Inspect, there wil be,

foto7.png

in the **Sources **tag. These are the info which you can play:D. You can download it for yourself or make an analysis from the data or what ever you want. To get these info we will use requests command. Also we want to take html part of the wabpage which contains good sources by using BeautifulSoup package command. Here is the example:

foto8.png

If you want to see the results you can just write print command:

foto9.png

You can see, we have data which contains "<a".

Now we need to show our best performance to get data. For now, we will use for loop and if statement to get data which has href which is to get info about headings and also tags which belongs that headings. To do that we need to search the dataTaken parameter and find href and save it by using .append command. Also by using if statement we are searching deeply in variables which contains "trending". Because when we check the variable data we see that after "trending" we have a valuable data which is tags. To get all data in a variable we used .append command. Also to see what the commands do we add a print command to see the results. Here,

foto10.png

As you see tags variable is changing in each loop and added tags in each loop
Maybe, you see that there is an another variable which is called postHeader. postHeader is used to get data which contains "href" because we will use this **postHeader **variable to get information about headings of the posts. To do that we will use another for loop but this time we used for loop in another version. For this version we will searching the variables row by row. So we need index and we are taken the index number from the size of the **postHeader ** variable. Then we are searching each row by using for loop and we are searching deeply by using if statement again to find trending word because we see that the headings are one row aside from the trending word. So we keep data aside one row such as (yy=str(postHeader[index+1]), headings.append(str(yy))) in if statement, after finding trending. Here,

post11.png

As you see we have the headings. Right now, we have really easy job to clean and get exact headings. When we check the headings variables, we see that after last "/" character our wanted data which is exact heading is started in each row. Therefore we searched each data in headings variable and get the data, here.

foto12.png

When you start the whole code you will see this.

foto13.png

You can extract all data form the websites, these are just an example (This can be seen simple code but we want to show what can be done.). In the future, we will make website to see real time data flow and analysis on Steemit .



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Thank you for the contribution. It has been approved.

Please consider this:

  • as you can see, I'm the author of the Learn Python Series (as well as a Utopian mod & Advisor),

  • therefore I think I'm in the position to properly judge the quality of this tutorial,

  • I've had quite some doubts if I would approve or rejct this tutorial, and as you can see, in the end I decided to approve it, but barely,

  • there are quite some things missing and other aspects that could be improved, such as:

  • your English spelling & grammar could use a few improvements;

  • the PyCharm Professional IDE is not open source (minor issue). You could have easily discussed in a few steps PyCharm Community Edition (which is),

  • you forgot to explain to the user they first need to (pip) install both requests and beautifulsoup4 before they are able to import it: you are (probably) not using a virtual environment, meaning you've installed them at an earlier date. But users who have not installed them, or are using a new virtual environment per project, would get errors and can therefore not complete the tutorial;

  • you haven't explained what requests is (= a simple HTTP library for Python), or what beautifulsoup4 is (an HTML parsing library),

  • your tutorial title is mis-leading somewhat: you are explaining - in essence - how to use requests to fetch a web page, and beautifulsoup4 to parse the html using "jQuery-like" DOM-selectors, which can be used on any html web page, and thus has nothing to do with "analyzing steemit". Further, you're not analyzing anything, only parsing some DOM-elements and assigning them to variables;

  • you are not properly explaining any of the bs4 methods (why use find_all('a') for example? I know, but others don't. Are there other methods they can use?)

  • you are only printing the data you've fetched from the webpage. The minimum you could have done is wrap a more modular function around some bs4 code and return useful data from it.

Anyway, you are hereby strongly encouraged to seriously upgrade the quality of your next Python tutorials.

You can contact us on Discord.
[utopian-moderator]

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Hey @scipio, I just gave you a tip for your hard work on moderation. Upvote this comment to support the utopian moderators and increase your future rewards!

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Thanks for your encouragement. We will try to explain the issues according to yout comments in the next tutorial. Also we are very happy and appreciate to see such a serious comments from you. We are newbie among you but we will improve ourselves and our posts, be sure.

First of all, I noticed that @arcange stopped the giving the analysis for the Steemit.

I'm not sure to understand what you are talking about. Can you elaborate on what I stopped to do?

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Sorry, maybe we misunderstood but in this webpage which belongs to you, https://steemsql.com we think you stopped giving information about Steemit data without any payment. We want to say this issue. If we make a mistake about you, really sorry.

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  1. The fact that the access to SteemSQL is no more free does not mean it has stopped to be available.
  2. What I am providing with SteemSQL is an access to a database and not an analysis service.

Your comment is misleading and confusing.

And now, some feedback about the content of your post.
Your approach might not be the best as you are extracting data from information displayed on a website.
Many information available in the blockchain are not available on the UI.
Then, have the owner of the website change its design, your code might fail.

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You are right, i will delete about your part.
You are right also about code, but this is just an example for tutorial to explain some package, and other stuff.
Thanks for your valuable comments.

Adamın dediklerini dikkate al iyi gidiyorsun!

Congratulations @onderakcaalan!
Your post was mentioned in the Steemit Hit Parade for newcomers in the following category:

  • Pending payout - Ranked 7 with $ 43,69

I also upvoted your post to increase its reward
If you like my work to promote newcomers and give them more visibility on Steemit, feel free to vote for my witness! You can do it here or use SteemConnect

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Thanks to @utopian-io community...

Congratulations @onderakcaalan, this post is the forth most rewarded post (based on pending payouts) in the last 12 hours written by a Newbie account holder (accounts that hold between 0.01 and 0.1 Mega Vests). The total number of posts by newbie account holders during this period was 3218 and the total pending payments to posts in this category was $1524.06. To see the full list of highest paid posts across all accounts categories, click here.

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We like statistics so no problem...

Congratulations! This post has been upvoted from the communal account, @minnowsupport, by onderakcaalan from the Minnow Support Project. It's a witness project run by aggroed, ausbitbank, teamsteem, theprophet0, someguy123, neoxian, followbtcnews, and netuoso. The goal is to help Steemit grow by supporting Minnows. Please find us at the Peace, Abundance, and Liberty Network (PALnet) Discord Channel. It's a completely public and open space to all members of the Steemit community who voluntarily choose to be there.

If you would like to delegate to the Minnow Support Project you can do so by clicking on the following links: 50SP, 100SP, 250SP, 500SP, 1000SP, 5000SP.
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