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We talk about Python Programming (Basic to Advance), RoadMap and why learn python?

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Python

Python is a high-level, general-purpose, and interpreted programming language used in various sectors including machine learning, artificial intelligence, data analysis, web development, and many more. Python is known for its ease of use, powerful standard library, and dynamic semantics. It also has a large community of developers who keep on contributing towards its growth. The major focus behind creating it is making it easier for developers to read and understand, also reducing the lines of code.

 

History: -

Python, first created in 1980s by the Guido van Rossum, is one of the most popular programming languages. During his research at the National Research Institute for Mathematics and Computer Science in the Netherlands, he created Python – a super easy programming language in terms of reading and usage. The first ever version was released in the year 1991 which had only a few built-in data types and basic functionality.

 

Later, when it gained popularity among scientists for numerical computations and data analysis, in 1994, Python 1.0 was released with extra features like map, lambda, and filter functions. Followed by which adding new functionalities and bringing newer versions of Python came into fashion.

 

1.     Python 1.5 released in 1997

2.     Python 2.0 released in 2000

3.     Python 3.0 in 2008 brought newer functionalities

4.     The latest version of Python, Python 3.10 was released in 2021

Python Advance

Python topics are too difficult for beginners. This is also reflected in our image. The trail requires experience and beginners with insufficient experience could easily get dizzy. Those who have successfully completed our beginner's tutorial or who have acquired sufficient Python experience elsewhere should not have any problems. As everywhere in our tutorial, we introduce the topics as gently as possible. This part of our Python tutorial is aimed at advanced programmers.

 

Most people will probably ask themselves immediately whether they are at the right place here. As in various other areas of life and science, it is not easy to find and describe the dividing line between beginners and advanced learners in Python. On the other hand, it is also difficult to decide what the appropriate topics are for this part of the tutorial. Some topics are considered by some as particularly difficult, while others rate them as easy. Like the hiking trail in the picture on the right. For people with mountain experience, it is a walk, while people without experience or with a strong feeling of dizziness are already dreadful at the sight of the picture.

 

When asked what advanced topics are, i.e. Python topics that are too difficult for beginners, I was guided by my experiences from numerous Python trainings.

 

Those who have successfully completed our beginner's tutorial or have had sufficient Python experience elsewhere should have no problems. As everywhere in our tutorial, we introduce the topics as gently as possible.

 

Python Roadmap for Beginners: -

Basics- Syntax, Variables, Data Types, Conditionals, Loops Exceptions, Functions, Lists tuples, set, dictionaries.

Advanced- List comprehensions, generators, expressions, closures Regex, decorators, iterators, lamdas, functionals programming, map-reduce, filters, threading, magic methods

OOP- Classes, inheritance, methods

Web frameworks- Django, Flask, Fast API

Data Science- NumPy, Pandas Seaborn Scikit-learn, TensorFlow, Pytorch.

Testing- Unit testing, integration, testing, end to end testing,load testing

Automation- File manipulations Web scraping GUI Automation Network Automation

DSA- Array & Linked lists, heaps stocks queue, hash tables, binary search tree, recursion, sorting Algorithms.

Package Managers- plp, Conda

 

This road map describe the areas of python and what is depth of Python, clearly visible what is the importance of Python.

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AI Course with Placement

                 Artificial Intelligence with Placement


Now we know "what is Artificial Intelligence and its factors, Tools" after that I will Suggest Institutes:-

Artificial Intelligence-  Artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—such as discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.


                   -Artificial Intelligence types - 

There are Four Types of AI

1. Reactive machines

Reactive machines are the most basic type of artificial intelligence. Machines built in this way don’t possess any knowledge of previous events but instead only “react” to what is before them in a given moment. As a result, they can only perform certain advanced tasks within a very narrow scope, such as playing chess, and are incapable of performing tasks outside of their limited context.

 

2. Limited memory machines

Machines with limited memory possess a limited understanding of past events. They can interact more with the world around them than reactive machines can. For example, self-driving cars use a form of limited memory to make turns, observe approaching vehicles, and adjust their speed. However, machines with only limited memory cannot form a complete understanding of the world because their recall of past events is limited and only used in a narrow band of time.

 

3. Theory of mind machines

Machines that possess a “theory of mind” represent an early form of artificial general intelligence. In addition to being able to create representations of the world, machines of this type would also have an understanding of other entities that exist within the world. As of this moment, this reality has still not materialized.

 

4. Self-aware machines

Machines with self-awareness are the theoretically most advanced type of AI and would possess an understanding of the world, others, and itself. This is what most people mean when they talk about achieving AGI. Currently, this is a far-off reality.


Tools of Artificial Intelligence-

Artificial intelligence have many tools with vast uses in calculations, mathematics Machine learning, and others .


1. altitude learning

Altitude Learning is an online platform that emphasizes student-centred education for professional development. There is a priority on teaching to the individual needs of each student. The primary focus is on empowering kids to study independently.

 

This AI tool enables educators to satisfy the requirements of each student with care, from the planning stage through monitoring their progress. Educators may assign work individually, in small or big or huge groups. This helps learners create their learning path with a mentor or instructor.

 

The application’s distinctive interface and evaluation structure improve each learner’s capacity to participate in self-directed learning.

 

Here are some of the best parts of Altitude Learning:

 

Self-directed learning facilitated by a “learner-centered” design

Experiential learning for students

One place where students and families can access curriculum, communicate, and monitor student progress.

2. Gradescope

 

Gradescope allows students to share comments and grades. This is a difficult procedure, but artificial intelligence tools for educational platforms may make it simple.

 

The AI tool combines experience with ML and AI to help graders. By outsourcing, graders save time and energy. Then they can put all of their attention on teaching.

 

Gradescope enables teachers to manage projects, mark online assignments, and administer paper-based examinations in one location. This assures fair grading and gives useful data on student needs and class trends.

 

Gradescope’s key features:

 

Grouping questions with and without help from AI

Time extensions for students

Automated grading using AI

Better productivity and equality

3. Knewton’s Alta

AI Tools for Education- Knewton

AI Tools for Education- Knewton

Knewton’s Alta is an AI tool for education that includes adaptive learning courseware for higher education that can be adjusted to students’ learning requirements. It’s designed to make students smarter while they do coursework.

 

There is no need to go elsewhere for course materials since Alta delivers everything from text to video to examples to tests. Additionally, one may find them in various courses across disciplines, including chemistry, economics, and statistics.

 

Some of Knewton’s Alta’s key characteristics:

 

The use of Adaptive Learning Technology

Individualized learning opportunities

Offers all course materials needed

Several courses

4. Knowji

Knowji is a research-based audio-visual vocabulary tool used by language learners. It takes learning to the next level by combining tried-and-true teaching methods with engaging new ideas and games. Each word’s progress is monitored, and a spaced repetition algorithm is used to forecast when users will likely forget the word. Learning in this way improves long-term retention.

 

Knowji’s primary features:

 

Aligning with Common Core

Various Methods of Instruction

Modifiable and customizable

Illustrations and sample phrases

5. Ivy Chatbot

Ivy Chatbot is an AI-powered chatbot suite developed with higher education in mind. They help with application paperwork, enrollment, tuition charges, deadlines, and other aspects of the university process. Ivy’s capacity to use data for strategic recruiting planning is also noteworthy.

 

Information on financial aid, including student loans, grants, and other forms of financial aid and other costs, may be made available to students using this AI tool. It may be used across departments owing to customized chatbots.

 

The main features of Ivy include the following:

 

There are Facebook, ERP, CRM, and SIS

Live chat, SMS pushing

Intelligently adapt to user input over time

6. SciSpace Copilot

SciSpace Copilot is a powerful AI application that helps scientists and researchers traverse the massive scientific literature. The programme analyses scientific publications and extracts useful information using cutting-edge natural language processing algorithms, helping researchers rapidly find the most significant and relevant research papers in their area.

 

The main features of SciSpace Copilot are:

 

Choose complex language, numbers, or tables and receive an easy explanation.

Feel free to probe more and get prompt responses.

Unconventional search method for locating relevant documents

7. TeacherBot.io

Teacherbot is an AI-powered online teaching tool that allows teachers to create resources for teaching students quickly and efficiently. With Teacherbot, teachers can create unique content that is tailored to their students’ needs. This tool makes it easy for teachers to be creative and deliver engaging lessons that will help their students succeed.

 

All you have to do is write out your prompt, and the teacherbot creates it.

 

8. Quizgecko

Quizgecko is transforming the landscape of quiz and test creation through the utilization of AI, fundamentally altering text into queries, deeply rooted in cutting-edge educational principles.

 

They offer an ideal solution for crafting quizzes, evaluations, examinations, and tests. Whether you’re an educator, learner, or involved in the corporate sector, you’ll discover that the platform’s versatility caters to all needs. The capacity to export content, integrate it seamlessly, and effortlessly share the generated quizzes with a broader audience for online completion is a remarkable feature. Furthermore, obtaining detailed reports and statistical insights on the outcomes enhances the whole experience.

 

Leveraging this tool’s AI-integrated quiz generator is an uncomplicated process. The platform’s algorithms are finely tuned to produce credible distractors, sidestepping convoluted language or intricate grammar structures. This approach maintains an optimal balance between challenging complexity and manageable difficulty, thereby ensuring a well-rounded and unbiased assessment of learning.

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