BC PYTHON
Saved by @EcomShit

FIVE Udemy Courses from which you can learn Python for FREE 😉💯

Thread 🧵👇

 1⃣ Python for Absolute Beginners!

This course is designed for beginners and gives you a brief introduction to Python 3, its installation, and everything around it.

🔗https://t.co/u6y2MkkntQ
2⃣ Python from Beginner to Intermediate in 30 min.

This 30-minutes course is designed to have a small introduction to various topics of python like variables, functions, etc.

🔗https://t.co/sz9qSichVi
3⃣ Learn Python 3.6 for Total Beginners

This 6.5 hours course is enough to learn Python alone.

Its course content contains installation to data structures to file system. Nearly everything for a beginner is covered in it!

🔗https://t.co/wHrMNMUsYj
4⃣ Python For Data Science

If you want to learn python for its implementation in Data Science then this course is for you.

It contains many important topics which are used in the implementation of python in Data Science.

🔗https://t.co/xyeuHnjQNU
5⃣ Python Programming For Beginners From Scratch

This 1-hour course is a short introduction to Python Programming from the starting.

It is designed for a beginner to start learning Python.

🔗https://t.co/pm48CiRxjK
Hey 👋

Thanks for reading the thread ❤️

If you find it useful then please retweet the first one😉

https://t.co/Se8BDAKqJR

More from Python

Indian Quant \U0001f1ee\U0001f1f3
Indian Quant 🇮🇳...
@indian_quant
Nano Course On Python For Trading
==========================
Module 3-B (Bonus)

In this Bonus Module, I will attempt to teach you how to write an algorithm to create a Stock Screener based on @markminervini 's Trend Template from his book Trade Like A Stock Market Wizard.

+

Some of the readers asked about how to create a stock screener. So, I thought before jumping to the cloud and deploying an algorithm on the cloud, I should address this. Whatever algorithm we develop in this module, we will deploy it on the cloud in Module number 4.

+

Pre-requisites:

• Read Module 2, so that you can download the historical data. A small assignment for you - write code to automate EOD data download and save it in the folder. We need to have the latest data for the screener. Hint: set end_date =

The rules are:

• The LTP of the stock > 150 SMA & 200 SMA
• The 150 SMA > 200 SMA
• The 200 SMA must be greater than 200 SMA 30 days ago.
• The 50 SMA > 150 SMA & 50 SMA > 200 SMA
• The LTP > 50 SMA
• The LTP must be greater than 30% of 52-Week Low

+

• The LTP is close to 25% of the 52-Week High
• The Relative Strength(RS) should be greater than 70

SMA = Simple Moving Average
LTP = Last Traded Price

Let's get started with its coding.

+
PYTHON
Indian Quant
Indian Quant
@indian_quant
Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
PYTHON , TRADE PYTHON , PYTHON TRADING
Advertisement
Algo Trader
Algo Trader
@f2003062
Here is the first tutorial of the course to learn python basics.

Only serious learners are requested to watch. Here my intention is not view count but whoever watch expecting to watch it completely and get some knowledge out of it.

https://t.co/pb0kcJefxK
PYTHON
Indian Quant \U0001f1ee\U0001f1f3
Indian Quant 🇮🇳...
@indian_quant
Nano Course On Python For Trading
==========================
Module 3

In this post, I will attempt to teach you how to write an algorithm in python to automatically find support and resistance. We shall use the data we downloaded in module 2.

+

To visualize price action, I have used the daily candlestick chart. To quantify the meaning of support and resistance, I have taken below definitions:
In a series of 5 continuous candles, if the first three candles make increasing high and then 2 decreasing highs, then the

+

high of the third candle is considered resistance. Similarly, if the first 3 candles make lower lows and the next 2 make high lows then the low of the third candle is support.

+


The above explanation is for the sake of quantifying support and resistance at a very basic level. These are called fractals. Now let's get started with the code.

mpl_finance is the new module here. We will use its candlestick_ohlc function.

+


Now, if you remember, you downloaded data for nifty 50 stocks in module 2. We shall use that data. Let's work on ITC data this time.
We will use data from 1 Jan 2021 to 30 June 2021.

+
FINANCE , PYTHON , ALL
Indian Quant \U0001f1ee\U0001f1f3
Indian Quant 🇮🇳...
@indian_quant
Nano Course On Python For Trading
==========================
Module 4

In this post, I will attempt to teach you how to write a trading strategy in Equity Segment that runs on your PC and create a Telegram bot that sends you buy/sell signals with Stop Loss.


Prerequisite: If you hadn't gone through the earlier modules, I strongly recommend you go through them all. Module 2: https://t.co/pciDOJXyVI

Note:
If you liked my content, you can donate, tip and support me on this link (any amount you prefer)


We are going to implement below strategy:

Rules: There should be three candles -> high of candle 1 > high of candle 2 > high of candle 3 and low of candle 1 < low of candle 2 < low of candle 3, where candle 3 is T-1 day, candle 2 is T-2 day and candle 1 is of T-3 Day, T = today.


If on today(day=T), the stock crosses yesterday high(candle 3), then send a buy signal to your telegram handle with candle 3 low as SL.

Before we get started with code, let's create a telegram bot using BotFather.

Step 1: Search BotFather in the telegram.
Step 2: type /newbot and then give the name to your bot. Refer to the second image as an example
PYTHON , PY MODULE 4

You May Also Like

Laurie Voss
Laurie Voss
@seldo
The 2018 State of JavaScript survey is out. They got 20,000 responses and have some delicious, delicious data. I'mma thread in some highlights:

First up: JavaScript flavors. There's TypeScript at 47% adoption, a tad higher than npm's own survey results (which said 46%). npm's survey is coming up again soon and will ask about TypeScript in a lot more detail.


I really, *really* like SoJ's "would not use again" question, which lets people who've abandoned a tech self-identify. This is noticeable in the graph above with Flow users -- 41% of people who've used Flow say they wouldn't use it again.

Now JavaScript frameworks. It's been a full year since npm's survey, so these numbers differ from ours in the directions I expected:
React 65% (vs. 60%)
Vue 29% (vs. 24%)
Ember 5% (vs 4%, I was expecting a bigger rise)

But there's a shocker in here: Angular.


npm's survey had Angular at 40% last year and SoJ has it at either:
- 58% (if you include those who don't want to use it again)
- 24% (if you count only those who like it)
Since npm's question didn't ask if they intend to *continue* using it I think that might explain this.
TECH
Tej Dosa \U0001f602\U0001f9e0
Tej Dosa 😂🧠...
@ComedicBizman
(A THREAD)

18 Things I Would Do At 18:

I was a dumb 18-year-old. I thought I had the world figured out. I didn't.

I stayed up till the wee hours. Drank every liquor invented.

Partied non-stop. Woke up after noon.

Surfed the web aimlessly.

Read BS self-help.

Repeat.

If I could do it all over again, here's 18 things I would do...

PHASE ONE: GET MY MIND RIGHT

ACTION #1: Break the chains - I wish I made the decision earlier. I didn't. I was scared. Anxious. Nervous. I knew once I made the decision, there was no going back.

Don't be like me.

Make the decision at 18. The decision to pave your own path in life. To go against the herd. To choose your own adventure. To commit to whatever sets your heart on fire.

ACTION #2: Cut off every negative person in your life.

Scroll through the contacts in your phone...

Notice how the names make you feel.

Delete any and all names that fill you with doubt and negativity.

ACTION #3: Condition your mind to embrace the producer mindset instead of the consumer mindset.

Consume 20% of the time. Produce 80% of the time.

Case closed.

ACTION #4: Set an intention to make $10k a month and write it out every MORNING and NIGHT as if you already achieved it (in the past tense).

Visualize yourself already having the money as you write.

Cheesy?

Yes.

Does it work?

Yes.

PHASE TWO: EDUCATION
LIFE
Advertisement
Ferruccio Balestreri \U0001f308
Ferruccio Balestreri 🌈...
@0xferruccio
🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links


2⃣ Each page has 1/N points (where N as the total number of pages)


3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links
TECH
Tej Dosa \U0001f602\U0001f9e0
Tej Dosa 😂🧠...
@ComedicBizman
(A THREAD)

18 Things I Would Do At 18:

I was a dumb 18-year-old. I thought I had the world figured out. I didn't.

I stayed up till the wee hours. Drank every liquor invented.

Partied non-stop. Woke up after noon.

Surfed the web aimlessly.

Read BS self-help.

Repeat.

If I could do it all over again, here's 18 things I would do...

PHASE ONE: GET MY MIND RIGHT

ACTION #1: Break the chains - I wish I made the decision earlier. I didn't. I was scared. Anxious. Nervous. I knew once I made the decision, there was no going back.

Don't be like me.

Make the decision at 18. The decision to pave your own path in life. To go against the herd. To choose your own adventure. To commit to whatever sets your heart on fire.

ACTION #2: Cut off every negative person in your life.

Scroll through the contacts in your phone...

Notice how the names make you feel.

Delete any and all names that fill you with doubt and negativity.

ACTION #3: Condition your mind to embrace the producer mindset instead of the consumer mindset.

Consume 20% of the time. Produce 80% of the time.

Case closed.

ACTION #4: Set an intention to make $10k a month and write it out every MORNING and NIGHT as if you already achieved it (in the past tense).

Visualize yourself already having the money as you write.

Cheesy?

Yes.

Does it work?

Yes.

PHASE TWO: EDUCATION
LIFE
Enigma
Enigma
@ainittomai
On December 25 Mr Pool retweeted August 16 message about the Phoenix and that the worst was still on the horizon to come. 1/*


Maybe now we can assume that November 3 message meant "FUD" nor "FUN". Putting the word in capital letters seems to indicate the aspect the word fud has in our space, FUD. 2/*


Brad started it on December 22 (1/3 posts (Don't say? Sure) = 13 = Plan B). 3/*


And immediately the SEC followed dropping the bomb (1.3 billions (Don't say? Sure) = 13 = Plan B). 4/*


FUD materializes, Bitstamp is one of the first that haltes XRP trading and so on. 5/*
FOR LATER READ