Python Tutorial

Python is a verstile programming language that has gained a lot of attention and popularity. Using Python, you do things like develop web applications, desktop applications, task automation, artificial intelligence (AI), big data, data analytics, machine learning (ML), and many other things.

Python is really becoming as the leader in data science and data analytics. With so many open source libraries to choose from (Pandas, scikit-learn, NumPy, Matplotlib), learning data analysis in Python just got so much easier.

Web Scrapping Exercise For Beginners (Python + BeautifulSoup)

Dec 18, 2020 | Python, Web Scraping

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Download PyQt5 Module Navigation Utility

Nov 19, 2020 | PyQt5, Python

Download Link (4K version) --> Download Download Link (1080p) --> Download Source Code

How to save Matplotlib chart as MP4 file

Nov 17, 2020 | Matplotlib

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Create a Python App To Navigate Python Modules

Nov 17, 2020 | Google YouTube API, PyQt5, Python

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Extract YouTube Video Info using YouTube Data API in Python

Nov 17, 2020 | Google YouTube API, Python

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Building a YouTube Comment Extractor app using Python (Based on PyQt5)

Nov 11, 2020 | Google YouTube API, PyQt5, Python

extractor_window.py (PyQt5 GUI) comment_extractor.py Google.py License

Google Geocoding API Tutorial For Python

Oct 29, 2020 | Google Maps APIs, Python

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Make Button Flashing | PyQt5 Tutorial

Oct 26, 2020 | PyQt5, Python

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Salesforce API in Python | Download Attachments

Oct 1, 2020 | Python, Simple-Salesforce

Source Code: from pprint import pprint import json import os import requests import pandas as pd from simple_salesforce import Salesforce, SalesforceLogin, SFType username = '<username>' password = '<password>' security_token = '<security_token>'...

Web Scraping NBA Player of the Week Table with Python and BeautifulSoup

Oct 1, 2020 | Python

Source Code: import pandas as pd import requests from bs4 import BeautifulSoup url = 'https://basketball.realgm.com/nba/awards/by-type/Player-Of-The-Week/30' # table-989 response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') table =...