
Python Programs for PDF user.
🧵:
More from Python Coding
Free Python PDF Books
🧵:
PYTHON: PROGRAMMING: A BEGINNER’S GUIDE TO LEARN PYTHON IN 7 DAYS https://t.co/t4wVbsOcJY
Developing Graphics Frameworks with Python and OpenGL https://t.co/VJDGg1wiLq
Python Programming: Your Advanced Guide To Learn Python in 7 Days: ( python guide , learning python , python programming projects , python tricks , python 3 ) https://t.co/8qbl8B4hHY
Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8, 3rd Edition https://t.co/VzS5AN1VbI
🧵:
PYTHON: PROGRAMMING: A BEGINNER’S GUIDE TO LEARN PYTHON IN 7 DAYS https://t.co/t4wVbsOcJY

Developing Graphics Frameworks with Python and OpenGL https://t.co/VJDGg1wiLq

Python Programming: Your Advanced Guide To Learn Python in 7 Days: ( python guide , learning python , python programming projects , python tricks , python 3 ) https://t.co/8qbl8B4hHY

Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8, 3rd Edition https://t.co/VzS5AN1VbI

Top 10 Python Courses from Eduonix.
🧵:
1. Learn Python Fundamentals https://t.co/xv9ZlCfILS
2. Learn Python Basic to Advance in Easy Way 2022 https://t.co/bKtl1QtMV3
3. Python for Beginners. Learn Twice (FREE Presentation EBOOK) https://t.co/owclho2ss9
4. Data Visualization in python using seaborn library https://t.co/RLkKp9zlVf
🧵:
1. Learn Python Fundamentals https://t.co/xv9ZlCfILS

2. Learn Python Basic to Advance in Easy Way 2022 https://t.co/bKtl1QtMV3

3. Python for Beginners. Learn Twice (FREE Presentation EBOOK) https://t.co/owclho2ss9

4. Data Visualization in python using seaborn library https://t.co/RLkKp9zlVf

More from Catagory jee
The average salary for a Data Scientist is $117,000.
Want to become a Google Certified Data Scientist?
Here are 4 free courses from Google you don't want to miss:
1. Learn Python basics for data analysis
This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis.
👉 https://t.co/q8SIIUytbM
2. Introduction to Data Science
This course will give you a comprehensive introduction to Data Science and Analytics Landscape.
👉 https://t.co/QwYX0U0mzY
3. Data Science with Python
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques.
This program is an ideal kickstarter for anyone looking to become a data scientist today.
👉 https://t.co/jVlrdbX654
4. Data Science with Python
Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing.
This program is an ideal kickstarter to become a data scientist today.
👉 https://t.co/B70J8zD74g
Want to become a Google Certified Data Scientist?
Here are 4 free courses from Google you don't want to miss:
1. Learn Python basics for data analysis
This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis.
👉 https://t.co/q8SIIUytbM

2. Introduction to Data Science
This course will give you a comprehensive introduction to Data Science and Analytics Landscape.
👉 https://t.co/QwYX0U0mzY

3. Data Science with Python
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques.
This program is an ideal kickstarter for anyone looking to become a data scientist today.
👉 https://t.co/jVlrdbX654

4. Data Science with Python
Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing.
This program is an ideal kickstarter to become a data scientist today.
👉 https://t.co/B70J8zD74g

A thread 🧵on Resources-for-preparation-Of-Placements Part -2 (Lecture video links)
**Designing**
- SYSTEM DESIGN
- Gaurav Sen - (https://t.co/rzNpoBlK3q)
- SudoCode -
- LOW LEVEL DESIGN
- Soumyajit bhattacharya - (https://t.co/PCc8ZQAL8i)
- Sandeep Kaul - (https://t.co/ZH9Jq9Ei3p)
- Crack the System DesigN Interview - (https://t.co/8rhrPZZm1F)
- System Design Interview — Alex Xu -
- Designing Data Intensive Applications - (https://t.co/OhkTqqCQPx)
- System Design Interview - (https://t.co/7QvMtVRGvf)
- System Design - (https://t.co/ytpm3oy0tL)
- Services Engineering - (https://t.co/JPxM5YntWz)
- Engineering Blogs -
**Git and Github**
- Git and GitHub for Poets - (https://t.co/DsXVNVtENy)
**Projects**
- WEB DEVELOPMENT - (https://t.co/w1cEHZFRQz)
- DATA SCIENCE - (https://t.co/SJfFP4U0z0)
- MACHINE LEARNING -
**Designing**
- SYSTEM DESIGN
- Gaurav Sen - (https://t.co/rzNpoBlK3q)
- SudoCode -
- LOW LEVEL DESIGN
- Soumyajit bhattacharya - (https://t.co/PCc8ZQAL8i)
- Sandeep Kaul - (https://t.co/ZH9Jq9Ei3p)
- Crack the System DesigN Interview - (https://t.co/8rhrPZZm1F)
- System Design Interview — Alex Xu -
- Designing Data Intensive Applications - (https://t.co/OhkTqqCQPx)
- System Design Interview - (https://t.co/7QvMtVRGvf)
- System Design - (https://t.co/ytpm3oy0tL)
- Services Engineering - (https://t.co/JPxM5YntWz)
- Engineering Blogs -
**Git and Github**
- Git and GitHub for Poets - (https://t.co/DsXVNVtENy)
**Projects**
- WEB DEVELOPMENT - (https://t.co/w1cEHZFRQz)
- DATA SCIENCE - (https://t.co/SJfFP4U0z0)
- MACHINE LEARNING -
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So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
If everyone was holding bitcoin on the old x86 in their parents basement, we would be finding a price bottom. The problem is the risk is all pooled at a few brokerages and a network of rotten exchanges with counter party risk that makes AIG circa 2008 look like a good credit.
— Greg Wester (@gwestr) November 25, 2018
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
Trading view scanner process -
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
Making thread \U0001f9f5 on trading view scanner by which you can select intraday and btst stocks .
— Vikrant (@Trading0secrets) October 22, 2021
In just few hours (Without any watchlist)
Some manual efforts u have to put on it.
Soon going to share the process with u whenever it will be ready .
"How's the josh?"guys \U0001f57a\U0001f3b7\U0001f483
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
1/x Fort Detrick History
Mr. Patrick, one of the chief scientists at the Army Biological Warfare Laboratories at Fort Detrick in Frederick, Md., held five classified US patents for the process of weaponizing anthrax.
2/x
Under Mr. Patrick’s direction, scientists at Fort Detrick developed a tularemia agent that, if disseminated by airplane, could cause casualties & sickness over 1000s mi². In a 10,000 mi² range, it had 90% casualty rate & 50% fatality rate
3/x His team explored Q fever, plague, & Venezuelan equine encephalitis, testing more than 20 anthrax strains to discern most lethal variety. Fort Detrick scientists used aerosol spray systems inside fountain pens, walking sticks, light bulbs, & even in 1953 Mercury exhaust pipes
4/x After retiring in 1986, Mr. Patrick remained one of the world’s foremost specialists on biological warfare & was a consultant to the CIA, FBI, & US military. He debriefed Soviet defector Ken Alibek, the deputy chief of the Soviet biowarfare program
https://t.co/sHqSaTSqtB
5/x Back in Time
In 1949 the Army created a small team of chemists at "Camp Detrick" called Special Operations Division. Its assignment was to find military uses for toxic bacteria. The coercive use of toxins was a new field, which fascinated Allen Dulles, later head of the CIA
Mr. Patrick, one of the chief scientists at the Army Biological Warfare Laboratories at Fort Detrick in Frederick, Md., held five classified US patents for the process of weaponizing anthrax.
2/x
Under Mr. Patrick’s direction, scientists at Fort Detrick developed a tularemia agent that, if disseminated by airplane, could cause casualties & sickness over 1000s mi². In a 10,000 mi² range, it had 90% casualty rate & 50% fatality rate

3/x His team explored Q fever, plague, & Venezuelan equine encephalitis, testing more than 20 anthrax strains to discern most lethal variety. Fort Detrick scientists used aerosol spray systems inside fountain pens, walking sticks, light bulbs, & even in 1953 Mercury exhaust pipes

4/x After retiring in 1986, Mr. Patrick remained one of the world’s foremost specialists on biological warfare & was a consultant to the CIA, FBI, & US military. He debriefed Soviet defector Ken Alibek, the deputy chief of the Soviet biowarfare program
https://t.co/sHqSaTSqtB

5/x Back in Time
In 1949 the Army created a small team of chemists at "Camp Detrick" called Special Operations Division. Its assignment was to find military uses for toxic bacteria. The coercive use of toxins was a new field, which fascinated Allen Dulles, later head of the CIA
