Stock Market Analysis with Pandas Python Programming

In this video we will learn how to Analyze Stock Market with Pandas Python Programming

Table of Contents:

00:00​ Intro
02:24​ Pandas
03:24​ Data Readers
03:51​ Jupyter Notebook
04:36​ Reading GOOGLE stocks
06:03​ Stock Price Visualization
09:21​ Tesla x Ford x GM stocks
12:32​ Opening Prices
13:44​ Volume Traded & Interpretations
17:37​ Market Cap
22:15​ Moving Average
26:04​ Correlation and Scatter Matrix
34:56​ Daily Percentage Change
37:47​ Volatility
41:59​ Box Plots
44:57​ Cumulative Return
52:42​ Summary

Instructor: Dr. Ahmad Bazzi

Subscribe: https://www.youtube.com/channel/UCgC1d4JZ1Fz4t8MWLJD464w

#python #pandas

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Stock Market Analysis with Pandas Python Programming

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Ray  Patel

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top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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August  Larson

August Larson

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Python for Beginners #2 — Importing files to python with pandas

Use pandas to upload CSV, TXT and Excel files

Story time before we begin

Learning Python isn’t the easiest thing to do. But consistency is really the key to arriving at a level that boosts your career.

We hear a lot about millennials wanting things to easy. In reality, there are a lot of young professionals who believe that they can do more for their companies but are being held back by the work cultures they are faced with at the onset of their careers.

Having been lucky enough to have found a job after my studies, I remember immediately feeling a wave of disappointment a very short while after starting my new job. I felt like a cog in a massive machine. I wasn’t really anything other than a ‘resource’. An extra 8–15 hours of daily man power depending on my boss’ whim.

The result, was the eventual disenchantment and lack of motivation simply because, for the most part, I was expected to be quiet and do my job in the hope of one day being senior enough to effect significant changes. And while the older generation would generally tell me to suck it up, I couldn’t see myself sucking it up for 5 years or more. I knew I’d get stale and afraid of change, much like those telling me to stay in my place.

For anyone in a similar situation,**_ do your best to improve on your skills _**and find an environment that works for you. That’s the whole purpose of these articles. To get you on your way to freedom.

Introduction

For this demonstration, I’ll use data from this Kaggle competition. It’s a simple CSV file containing data on individuals in the Titanic and the different profiles i.e. (age, marital status etc.)

I want to import this file to python. I’ll show you how to do this alongside all the possible troubleshoots you may encounter.

Table of Contents

  1. Where should you put your files?
  2. Reading CSV and TXT files
  3. Reading excel (XLSX) files

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Ray  Patel

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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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August  Larson

August Larson

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Automating WhatsApp Web with Alright and Python

Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.

Why Alright?

I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:

  1. pywhatkit
  2. pywhatsapp
  3. PyWhatsapp
  4. WebWhatsapp-Wrapper

So I tried

pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.

I then tried

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.

I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.

PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.

So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.

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