Giters

Enes4xd / kirik_kalpli_olan_sayfa

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

kirik_kalpli_olan_sayfa

git clone https://github.com/kirik_kalpli_sayfa/kirik_kalpli_olan_sayfa git clone https://github.com/kirik_kalpli_sayfa/kirik_kalpli_olan_sayfa.git ... başlık: Kod Alanları için Hızlı Başlangıç giriş: '5 dakika içinde {% data options.product.prodname_codespaces %} ürününü deneyin.'

Glassdoor Salary exploration for financial analyst positions in the UK

Contributing Members

Team Leads (Contacts) : [Samuel Lawrence]: http://samuel-lawrence.co.uk/

Webscraper adapted from https://towardsdatascience.com/selenium-tutorial-scraping-glassdoor-com-in-10-minutes-3d0915c6d905

Inspiration for the project was based on Ken Jee's youtube series 'data science project from scratch' Major changes include:

  • Unique model building approach based on sklearn ensemble module
  • The model was deployed to production via streamlit on heroku url: https://glassdoor-fin-analyst.herokuapp.com/
  • Updated webcrawler was in need of overall due to glassdoor's updated website
  • Unique field objective

-- Project Status: [Complete]

Project phases:

  • Adapt web scraper for data for model
  • Clean data for analysis
  • Analyze data
  • Submit findings
  • Scale and Build Machine Learning Model
  • Host product on heroku

Project Intro

The objective of this project is to further understand what it takes to be a financial analyst in London. This exercise will serve as a gateway to those seeking to become analyst themselves as well as create an entry point adapting a machine learning model in predicting what role may be expected in relation to the different variables.

Methods Used

  • Inferential Statistics
  • Machine Learning
  • Data Visualization
  • Predictive Modeling

Technologies

  • Python
  • Pandas
  • Numpy
  • Matplotlib
  • Nltk
  • Wordcloud
  • Seaborn
  • Sklean
  • Selenium
  • Sklearn

Project Description

As we move closer to the full cycle of graduates moving into the work force, the question has been posed is what does it take/what is it like to be a financial analyst? Some questions we plan on answering include:

  • What kind of salary should be expected?

  • What positions are the most popular?

  • Types of companies Hiring?

  • What industries are the most popular?

  • Similarities between different roles?

  • Other questions we might want answered as we explore the data some more?

    things to note:

  • The data was gathered from Glassdoor job postings on 6/7/2020 via web scraper with the use of the Selenium Python library. As such, COVID-19 has remained a constant factor in our lives and should be taken into consideration.
  • -1 represents data that wasn't specified in the job posting
  • The sample size for this data set was 1,000 entries.
  • We ran the web scraper multiple times to get a wider pool of data due to the number of missing data

Key findings

  • Some of the most common words mentioned in the analysis include: 'Problem Solving','Bachelor Degree','team' and 'attention to detail'
  • Average salary came out to around 30K depending on the seniority level
  • Most big corporations are doing the hiring at the moment

Use Case

  • With more data and better feature selection, users could calculate their exact salary

Python Mini Projeler

Dokumantasyon linki: https://ozcanyarimdunya.github.io/python_mini_projeler

Dokumantasyon gelistirme asamasindadir, her turlu yardimlariniz kabul edilir 😊😁❤️

Boş zamanlarımda hobi olarak eğitim serisi tarzında python da yazdığım mini mini projeler bunlar :)

Bütün proje dosyalarına gerekli açıklamaları elimden geldigince yazdım.

Çok az programlama bilgisi olan biri için başlangıç/orta/ileri seviyelerde yararlı olabileceğini düşündüğüm uygulamaları yazdım.

NOT

Sisteminizde Python3 kurulu olmasi lazim

Kodları PyCharm Editorünü kullanarak yazdım.

Kodları Windowsta hiç denemedim ne sonuçlar vereceğini bilmiyorum, bi hata varsa pull request acin

Kurulum

Oncelikle bir terminal acip repoyu indirin

git clone https://github.com/ozcanyarimdunya/python_mini_projeler.git python3_projeler
cd python3_projeler/

Pesinden isterleri kurunuz

pip install --user poetry
poetry install

Package PyPI PyPI - Python Version Checked with mypy

Downloads Downloads Downloads

Donate

If you are tired of being blocked when receiving data from Instagram, I recommend using our service - Lamadava SaaS and Datalama SaaS

Features:

  • Anonymous getting of user, posts, stories, highlights, followers and following users
  • Anonymous getting an email and phone number, if the user specified them in his business profile
  • Anonymous getting of post, story, album, Reels, IGTV data and the ability to download content
  • Anonymous getting of hashtag and location data, as well as a list of posts for them
  • Anonymous getting of all comments on a post and a list of users who liked it
  • Management of proxy servers, mobile devices, solving captcha and challenge resolver
  • Login by username and password, sessionid and support 2FA
  • Managing messages and threads for Direct and attach files
  • Download and upload a Photo, Video, IGTV, Reels, Albums and Stories
  • Work with Users, Posts, Comments, Insights, Collections, Location and Hashtag
  • Insights by account, posts and stories
  • Like, following, commenting, editing account (Bio) and much more else

instagrapi - Unofficial Instagram API for Python

Fast and effective Instagram Private API wrapper (public+private requests and challenge resolver) without selenium. Use the most recent version of the API from Instagram, which was obtained using reverse-engineering with Charles Proxy and Proxyman.

Instagram API valid for 3 January 2022 (last reverse-engineering check)

Support Python >= 3.6, recommend 3.8+

For any other languages (e.g. C++, C#, F#, D, Golang, Erlang, Elixir, Nim, Haskell, Lisp, Closure, Julia, R, Java, Kotlin, Scala, OCaml, JavaScript, Crystal, Ruby, Rust, Swift, Objective-C, Visual Basic, .NET, Pascal, Perl, Lua, PHP and others), I suggest using instagrapi-rest or Lamadava SaaS

Support Chat in Telegram and GitHub Discussions

Features

  1. Performs Public API (web, anonymous) or Private API (mobile app, authorized) requests depending on the situation (to avoid Instagram limits)
  2. Login by username and password, including 2FA and by sessionid (and uses Authorization header instead Cookies)
  3. Challenge Resolver have Email and SMS handlers
  4. Support upload a Photo, Video, IGTV, Reels, Albums and Stories
  5. Support work with User, Media, Comment, Insights, Collections, Location (Place), Hashtag and Direct Message objects
  6. Like, Follow, Edit account (Bio) and much more else
  7. Insights by account, posts and stories
  8. Build stories with custom background, font animation, link sticker and mention users
  9. In the next release, account registration and captcha passing will appear

Examples of apps that use instagrapi

Basic Usage

from instagrapi import Client

cl = Client()
cl.login(ACCOUNT_USERNAME, ACCOUNT_PASSWORD)

user_id = cl.user_id_from_username("adw0rd")
medias = cl.user_medias(user_id, 20)
Additional example 
from instagrapi import Client
from instagrapi.types import StoryMention, StoryMedia, StoryLink, StoryHashtag

cl = Client()
cl.login(USERNAME, PASSWORD, verification_code="<2FA CODE HERE>")

media_pk = cl.media_pk_from_url('https://www.instagram.com/p/CGgDsi7JQdS/')
media_path = cl.video_download(media_pk)
adw0rd = cl.user_info_by_username('adw0rd')
hashtag = cl.hashtag_info('dhbastards')

cl.video_upload_to_story(
    media_path,
    "Credits @adw0rd",
    mentions=[StoryMention(user=adw0rd, x=0.49892962, y=0.703125, width=0.8333333333333334, height=0.125)],
    links=[StoryLink(webUri='https://github.com/adw0rd/instagrapi')],
    hashtags=[StoryHashtag(hashtag=hashtag, x=0.23, y=0.32, width=0.5, height=0.22)],
    medias=[StoryMedia(media_pk=media_pk, x=0.5, y=0.5, width=0.6, height=0.8)]
)

Documentation

About