Newsletter for LinkedIn

1. ANALYTICAL
SUPERPOWERS
JUNE EDITION
hariev@zohomail.in
Industry Leaders Warn: Artificial Intelligence Poses an
'Extinction Risk' (The New York Times)
Unexpected Success: Venture Star Achieves 35%
Returns by Mining Scientific Papers (Bloomberg)
Japanese Startup Secures $30 Million to Develop
Space Robot Workforce (Bloomberg)
Tech Trade Resurgence Fueled by Artificial Intelligence
Hype and Optimism about a Less Aggressive Fed
(CNBC)
Emphasizing Solutions over Fearmongering in Problem
Solving (TechCrunch)
In-Depth Look at a Startup's Decision to Opt for
Acquisition Rather than Raising Series A Funding
(TechCrunch)
According to Po-Shen Loh, a professor at Carnegie Mellon
University and U.S. team coach for the International
Mathematical Olympiad, as AI advances, human ingenuity
becomes even more valuable. Loh is on a tour, delivering
lectures in 65 cities, urging math enthusiasts to focus on what
distinguishes humans from machines.
Creativity and emotional intelligence are the differentiators
humans possess in an AI-dominated world. While machines
excel at data analysis, they struggle to replicate human
imagination and emotional understanding. Loh encourages
individuals to embrace their creativity, nurture emotional
intelligence, and leverage these strengths.
By doing so, individuals can outperform AI in areas that
require intuition and originality. Loh's lectures aim to shape a
future where humans and machines collaborate
harmoniously, with each playing a unique role in advancing
society.
Defeating AI? Unleash Your Creativity and
Emotions!
Defeating AI? Unleash Your Creativity and
Emotions!
Trending >>>
Trending >>>

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ANALYTICAL
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JUNE EDITION
hariev@zohomail.in
Github CoPilot is an AI pair programmer that offers autocomplete-
style suggestions as you code. You can receive suggestions from
GitHub Copilot either by starting to write the code you want to use,
or by writing a natural language comment describing what you want
the code to do.
Tabnine is an AI code completion tool that uses machine learning to
suggest code completions based on the context of your code.`
IntelliCode is an AI-powered feature of Visual Studio that provides
code completions, linting, and other assistance.`
GPT-Code-Clippy is an open-source AI code completion tool that is
based on the GPT-3 language model.`
Captain Stack is an AI code completion tool that uses Google
Search to find and suggest code snippets.`
CodeGnome is an AI code completion tool that uses machine
learning to suggest code completions based on the context of your
code and your coding style.
Mitosheet is a Jupyter widget that provides a spreadsheet-like interface for exploring and manipulating data.
Dtale is a web-based tool that provides a similar interface to Mitosheet. It can be used to explore data in a browser
without having to install any software.
Pandasgui is a Jupyter widget that provides a similar interface to Mitosheet. It has a number of additional features,
such as the ability to export data to a variety of formats.
Bamboolib is a Jupyter widget that provides a more advanced interface than Mitosheet. It can be used to perform
a wider range of data exploration and manipulation tasks.
COPILOT
COPILOT
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TOOLS TO PERFORM EDA [EXPLORATORY DATA ANALYSIS] WITHOUT WRITING A SINGLE
LINE OF CODE

3. Introduction
Artificial Intelligence (AI) has permeated various aspects of our lives, bringing unprecedented advancements and
transformative changes. One area where AI has made a significant impact is in the field of programming. AI-powered
code-writing tools have emerged as a game-changer, simplifying the development process, enhancing productivity,
and transforming the way software is created. In this blog, we will explore the profound impact of AI code-writing
tools on the world and its implications for developers, businesses, and society as a whole.
Streamlining the Development Process
Traditionally, writing code has been a time-consuming and intricate task that requires meticulous attention to detail.
However, AI code-writing tools have revolutionized this process by automating repetitive tasks and generating code
snippets, thereby streamlining the development process. These tools leverage machine learning algorithms to
analyze existing codebases, understand patterns, and provide intelligent suggestions to developers. By reducing the
need for manual coding, developers can focus more on higher-level design and problem-solving, resulting in faster
development cycles and increased productivity.
Enhancing Developer Productivity
AI code-writing tools act as intelligent assistants, augmenting developers' capabilities and significantly improving
their productivity. These tools can automatically generate boilerplate code, detect and fix errors, optimize
algorithms, and suggest code improvements. They provide real-time suggestions and auto-completion features,
enabling developers to write code more efficiently. Moreover, AI-powered code review systems can help identify
potential bugs, security vulnerabilities, and code smells, allowing developers to deliver more reliable and robust
software. By reducing the time spent on mundane and repetitive tasks, developers can allocate their energy toward
more creative and complex problem-solving, leading to higher-quality code and faster project delivery.
Democratizing Programming
One of the most transformative aspects of AI code-writing tools is their ability to democratize programming.
Traditionally, programming required specialized skills and knowledge, creating barriers to entry into the field.
However, with the advent of AI code-writing tools, the entry barrier has been significantly lowered. These tools
empower non-experts and novice programmers to write code and develop software applications, making
programming more accessible to a broader audience. This democratization of programming has the potential to
unleash a wave of innovation, as individuals from diverse backgrounds can now participate in the creation of
technology, leading to a more inclusive and diverse tech industry.
Addressing the Skills Gap
The demand for skilled software developers far exceeds the available supply, resulting in a significant skills gap in the
industry. AI code-writing tools can help bridge this gap by assisting developers with automated suggestions, code
generation, and learning resources. These tools can be used as educational aids, allowing beginners to learn coding
concepts in a more interactive and hands-on manner. Additionally, AI code-writing tools can assist experienced
developers in learning new programming languages or frameworks more quickly. By accelerating the learning curve
and providing continuous support, these tools contribute to closing the skills gap and expanding the pool of
competent programmers.
Conclusion
AI code-writing tools have ushered in a new era of programming, transforming the way software is developed and
empowering developers with increased productivity and efficiency. These tools streamline the development process,
enhance developer productivity, democratize programming, and address the skills gap.
AI CODE WRITING
TOOLS:
REVOLUTIONIZING
THE WORLD OF
PROGRAMMING
hariev@zohomail.in
ANALYTICAL
SUPERPOWERS
JUNE EDITION