चैटजीपीटी कोर्स बेगिनर्स के लिए
क्या आप जानते हैं कि आप ChatGPT क्या है और इसका उपयोग क्यों करना चाहिए? क्या आप तैयार हैं इस उपकरण की माहिती और उपयोग सीखने के लिए? अगर हां, तो यह कोर्स आपके लिए है!
कौन कौन से छात्र इस कोर्स के लिए हैं:
तकनीकी ज्ञान के बिना भी, यह शुरुआती स्तर का कोर्स है, तो यह किसी भी प्रारंभिक सीखने वाले के लिए उपयुक्त है.
व्यावासिक योजनाओं और प्रस्तावनाओं को तैयार करने वाले व्यक्तियों के लिए, जो उच्च गुणवत्ता वाले प्रतिपूर्ण आलेख और योजनाएँ बनाना चाहते हैं.
कोडिंग और प्रोग्रामिंग के बिना भी, डेवलपर्स और टेक्निकल पेशेवर्स के लिए, जो टेक्स्ट और लिखित सामग्री को और भी सुधारना चाहते हैं.
इस कोर्स से छात्र क्या सीखेंगे:
ChatGPT के आविष्कार से जुड़े आवश्यक ज्ञान के साथ, वे यह सीखेंगे कि कैसे इसका उपयोग करते हैं और क्यों।
उन्हें विभिन्न विषयों पर उच्च गुणवत्ता वाले लिखित आलेख और व्यावासिक योजनाएँ बनाने के लिए उपयुक्त तरीकों की समझ होगी.
वे कैसे ChatGPT का उपयोग करके कोडिंग और प्रोग्रामिंग के काम में मदद कर सकते हैं.
इस कोर्स से आपको क्या लाभ होगा:
क्वालिटी और सुंदर लिखित सामग्री की तैयारी करने के लिए एक शक्तिशाली उपकरण का उपयोग करने की क्षमता.
उच्च गुणवत्ता वाले व्यवसायिक योजनाओं और प्रस्तावनाओं का निर्माण करने की कौशल.
ChatGPT को साहित्यिक और प्रोग्रामिंग जगत में एक सशक्त साथी के रूप में उपयोग करने की योग्यता.
इस कोर्स के माध्यम से, आप आपके व्यवसाय को नई ऊँचाइयों तक पहुँचाने के लिए ChatGPT का उपयोग करने के सारे रहस्य जानेंगे, और विभिन्न क्षेत्रों में आपकी सामग्री की मानकता बढ़ाएंगे। अब इस दुनिया में अपने स्वप्नों को पूरा करने के लिए तैयार हों!
Call to Action: अगर आप अपने लेखन और व्यवसाय को नई ऊँचाइयों तक पहुँचाना चाहते हैं, तो अब ही इस कोर्स में शामिल हों! सीखिए ChatGPT का उपयोग करने के रोचक और उपयोगी तरीकों को, और अपने करियर को नई ऊँचाइयों तक ले जाएं।
ChatGPT Course for Beginners
Do you know what ChatGPT is and why you should use it? Are you ready to dive into learning about this powerful tool and how to harness its capabilities? If yes, this course is designed just for you!
Who is this course for:
Beginners with or without technical knowledge, making it suitable for anyone looking to get started.
Entrepreneurs and professionals aiming to create high-quality written content, business plans, and proposals.
Developers and technical professionals interested in leveraging ChatGPT for coding and programming tasks.
What will students learn from this course:
Students will gain essential knowledge about ChatGPT's discovery and learn how to use it and why it's essential.
They will acquire skills to produce high-quality written articles and practical plans in various subjects.
They will learn how to use ChatGPT to assist with coding and programming tasks, even without prior expertise.
What benefits can you expect from this course:
The ability to create quality and engaging written content using a powerful tool.
Proficiency in crafting high-quality business plans and proposals.
The capacity to use ChatGPT as a robust ally in the literary and programming domains.
Call to Action: If you want to take your writing and business to new heights, join this course now! Learn the fascinating and practical ways of using ChatGPT and elevate your career to new heights.
Make sure to explore the endless possibilities of ChatGPT and start your journey towards achieving your dreams!
चैटजीपीटी कोर्स बेगिनर्स के लिए
क्या आप जानते हैं कि आप ChatGPT क्या है और इसका उपयोग क्यों करना चाहिए? क्या आप तैयार हैं इस उपकरण की माहिती और उपयोग सीखने के लिए? अगर हां, तो यह कोर्स आपके लिए है!
कौन कौन से छात्र इस कोर्स के लिए हैं:
तकनीकी ज्ञान के बिना भी, यह शुरुआती स्तर का कोर्स है, तो यह किसी भी प्रारंभिक सीखने वाले के लिए उपयुक्त है.
व्यावासिक योजनाओं और प्रस्तावनाओं को तैयार करने वाले व्यक्तियों के लिए, जो उच्च गुणवत्ता वाले प्रतिपूर्ण आलेख और योजनाएँ बनाना चाहते हैं.
कोडिंग और प्रोग्रामिंग के बिना भी, डेवलपर्स और टेक्निकल पेशेवर्स के लिए, जो टेक्स्ट और लिखित सामग्री को और भी सुधारना चाहते हैं.
इस कोर्स से छात्र क्या सीखेंगे:
ChatGPT के आविष्कार से जुड़े आवश्यक ज्ञान के साथ, वे यह सीखेंगे कि कैसे इसका उपयोग करते हैं और क्यों।
उन्हें विभिन्न विषयों पर उच्च गुणवत्ता वाले लिखित आलेख और व्यावासिक योजनाएँ बनाने के लिए उपयुक्त तरीकों की समझ होगी.
वे कैसे ChatGPT का उपयोग करके कोडिंग और प्रोग्रामिंग के काम में मदद कर सकते हैं.
इस कोर्स से आपको क्या लाभ होगा:
क्वालिटी और सुंदर लिखित सामग्री की तैयारी करने के लिए एक शक्तिशाली उपकरण का उपयोग करने की क्षमता.
उच्च गुणवत्ता वाले व्यवसायिक योजनाओं और प्रस्तावनाओं का निर्माण करने की कौशल.
ChatGPT को साहित्यिक और प्रोग्रामिंग जगत में एक सशक्त साथी के रूप में उपयोग करने की योग्यता.
इस कोर्स के माध्यम से, आप आपके व्यवसाय को नई ऊँचाइयों तक पहुँचाने के लिए ChatGPT का उपयोग करने के सारे रहस्य जानेंगे, और विभिन्न क्षेत्रों में आपकी सामग्री की मानकता बढ़ाएंगे। अब इस दुनिया में अपने स्वप्नों को पूरा करने के लिए तैयार हों!
Call to Action: अगर आप अपने लेखन और व्यवसाय को नई ऊँचाइयों तक पहुँचाना चाहते हैं, तो अब ही इस कोर्स में शामिल हों! सीखिए ChatGPT का उपयोग करने के रोचक और उपयोगी तरीकों को, और अपने करियर को नई ऊँचाइयों तक ले जाएं।
ChatGPT Course for Beginners
Do you know what ChatGPT is and why you should use it? Are you ready to dive into learning about this powerful tool and how to harness its capabilities? If yes, this course is designed just for you!
Who is this course for:
Beginners with or without technical knowledge, making it suitable for anyone looking to get started.
Entrepreneurs and professionals aiming to create high-quality written content, business plans, and proposals.
Developers and technical professionals interested in leveraging ChatGPT for coding and programming tasks.
What will students learn from this course:
Students will gain essential knowledge about ChatGPT's discovery and learn how to use it and why it's essential.
They will acquire skills to produce high-quality written articles and practical plans in various subjects.
They will learn how to use ChatGPT to assist with coding and programming tasks, even without prior expertise.
What benefits can you expect from this course:
The ability to create quality and engaging written content using a powerful tool.
Proficiency in crafting high-quality business plans and proposals.
The capacity to use ChatGPT as a robust ally in the literary and programming domains.
Call to Action: If you want to take your writing and business to new heights, join this course now! Learn the fascinating and practical ways of using ChatGPT and elevate your career to new heights.
Make sure to explore the endless possibilities of ChatGPT and start your journey towards achieving your dreams!
Welcome to Building Realtime Chat App with Chat Engine IO & Socket IO course. This is an extensive project based course where you will learn step by step on how to build and design a fully functioning real time chat app just like Whatsapp or Facebook messengers. To build the chat app, we are going to use Javascript programming language alongside with websocket which will enable real time delivery messages and also Chat Engine IO which is a chat API that enables developers to integrate real-time chat to their website . In the introduction session, you will learn the basic fundamentals of web socket and get to know more about the chat app project that you are going to build. We are going to specifically talk about use cases and main features of real time chat apps. Then, in the next session, you will extensively learn about how websocket actually works, specifically, you will learn about interaction between server and client. Once, you have learnt all necessary knowledge about real time chat app and websocket, then, you will enter the main section of the course which is the project section, firstly, you will be guided step by step on how to set up your IDE, in this case, we are going to use VS Code as the IDE. Afterward, you will also learn step by step on how to set up a Chat Engine IO account and learn more about its documentation. Once everything is ready, we are going to get started building the real time chat app, the project section is consisted of two main parts, in the first part you will build a real time chat app using Chat Engine IO, meanwhile, in the second part, you will build real time chat app using Socket IO. Then, once the real time chat app has been built, we are going to be conducting testing on the app to make sure that it has been fully functioning and it has a friendly user interface. This course will be focusing on four main testing objectives, those are functionality testing, user experience testing, performance testing, and compatibility testing. Lastly, at the end of the course, we are going to talk about future enhancement and additional feature ideas to make the chat app even better, such as adding end to end encryption feature, adding screen sharing feature, adding voice and video calling features.
First of all, before getting into the course, we need to ask this question to ourselves: why should we build a real time chat app? Don’t you think the market for this particular product has been oversaturated since almost all social media platforms already have their own versions of chat app or direct messenger feature? Well, here is my answer, obviously building your own real time chat app is not intended to compete with Whatsapp or Facebook Messengers, instead, the chat app will be integrated with other projects, for instance, in a game application, the chat app can be used for communication between players, enhancing their gaming experience and facilitating teamwork or in E-commerce store, the chat app can be used to facilitate customer support, answer product queries, and help users make purchasing decisions. In addition to that, you are also going to learn a lot of valuable knowledge and skill sets from building real time chat apps, especially for those of you who are interested in app development, having this project in your portfolio can be used to showcase your capabilities to your future employers or future clients. Last but not least, knowing how to build a chat app can potentially open a lot of opportunities, both in your professional career or as an entrepreneur.
Below are things that you are going to learn from this course:
Learn the basic fundamentals of real time chat app and WebSocket
Learn how WebSocket works specifically the interaction between server and client
Learn how to create new user and new chat on Chat Engine IO
Learn how to connect your chat app with Chat Engine IO API
Learn how to initialize React project on VS Code terminal
Learn step by step on how to build a real time chat app using Chat Engine IO
Learn how to customize chat app user interface
Learn how to enable email notification for chat app
Learn step by step on how to build a real time chat app using Socket IO
Conduct testing to make sure the chat app has been fully functioning
Learn several testing methods for chat app, such as functionality, user experience, performance, and compatibility testings
Get to know several additional features that could be added to improve the chat app, such as end to end encryption, screen sharing, voice calling, video calling, and multi devices integration
Welcome to Building Realtime Chat App with Chat Engine IO & Socket IO course. This is an extensive project based course where you will learn step by step on how to build and design a fully functioning real time chat app just like Whatsapp or Facebook messengers. To build the chat app, we are going to use Javascript programming language alongside with websocket which will enable real time delivery messages and also Chat Engine IO which is a chat API that enables developers to integrate real-time chat to their website . In the introduction session, you will learn the basic fundamentals of web socket and get to know more about the chat app project that you are going to build. We are going to specifically talk about use cases and main features of real time chat apps. Then, in the next session, you will extensively learn about how websocket actually works, specifically, you will learn about interaction between server and client. Once, you have learnt all necessary knowledge about real time chat app and websocket, then, you will enter the main section of the course which is the project section, firstly, you will be guided step by step on how to set up your IDE, in this case, we are going to use VS Code as the IDE. Afterward, you will also learn step by step on how to set up a Chat Engine IO account and learn more about its documentation. Once everything is ready, we are going to get started building the real time chat app, the project section is consisted of two main parts, in the first part you will build a real time chat app using Chat Engine IO, meanwhile, in the second part, you will build real time chat app using Socket IO. Then, once the real time chat app has been built, we are going to be conducting testing on the app to make sure that it has been fully functioning and it has a friendly user interface. This course will be focusing on four main testing objectives, those are functionality testing, user experience testing, performance testing, and compatibility testing. Lastly, at the end of the course, we are going to talk about future enhancement and additional feature ideas to make the chat app even better, such as adding end to end encryption feature, adding screen sharing feature, adding voice and video calling features.
First of all, before getting into the course, we need to ask this question to ourselves: why should we build a real time chat app? Don’t you think the market for this particular product has been oversaturated since almost all social media platforms already have their own versions of chat app or direct messenger feature? Well, here is my answer, obviously building your own real time chat app is not intended to compete with Whatsapp or Facebook Messengers, instead, the chat app will be integrated with other projects, for instance, in a game application, the chat app can be used for communication between players, enhancing their gaming experience and facilitating teamwork or in E-commerce store, the chat app can be used to facilitate customer support, answer product queries, and help users make purchasing decisions. In addition to that, you are also going to learn a lot of valuable knowledge and skill sets from building real time chat apps, especially for those of you who are interested in app development, having this project in your portfolio can be used to showcase your capabilities to your future employers or future clients. Last but not least, knowing how to build a chat app can potentially open a lot of opportunities, both in your professional career or as an entrepreneur.
Below are things that you are going to learn from this course:
Learn the basic fundamentals of real time chat app and WebSocket
Learn how WebSocket works specifically the interaction between server and client
Learn how to create new user and new chat on Chat Engine IO
Learn how to connect your chat app with Chat Engine IO API
Learn how to initialize React project on VS Code terminal
Learn step by step on how to build a real time chat app using Chat Engine IO
Learn how to customize chat app user interface
Learn how to enable email notification for chat app
Learn step by step on how to build a real time chat app using Socket IO
Conduct testing to make sure the chat app has been fully functioning
Learn several testing methods for chat app, such as functionality, user experience, performance, and compatibility testings
Get to know several additional features that could be added to improve the chat app, such as end to end encryption, screen sharing, voice calling, video calling, and multi devices integration
- The OpenAI API is one of the most exciting advancements in the world of natural language and code processing.
- Its powerful models and flexible endpoints offer a wealth of possibilities for web developers looking to take their skills to the next level.
- In this course, you'll dive into the world of OpenAI APIs and GPT language models. Our focus will be on the completions endpoint and how it can be applied to text completion and various other language-processing tasks.
- Students will work on an end-to-end Generative AI project incorporating the learned concepts.
The course includes Projects, Hands-on Labs, Case Studies and Real-world Applications.
# 1: Introduction to Generative AI :
with the OpenAI API to solve a wide range of language processing tasks, including :
content generation, summarization, semantic search, and sentiment analysis
a quickstart Tutorial to gain experience and build your first AI-powered application with the APIs and the large language models (LLMs).
You will learn how to build a simple sample node application.
Along the way, you’ll learn key concepts and techniques :
authentication with the API key,
prompt design, adjust settings and generate completions
# 2: The Chat models Models:
explore the different language models available through the OpenAI API, including the cutting-edge GPT language model
integrate the Chat completion API to create an AI-agent
# 3: Speech-to-Text
discover the Audio Whisper API to turn audio files into transcriptions
implementing Speech-to-Text to convert podcast audio samples into text
# 4: Function Calling in AI Systems
extend the LLMs capacities
and give the language models the ability to call external APIs and generate extended responses.
# 5: Experiment with LangChain : a framework to easily create applications with the generative models
# Target and intended audience
Whether you're a seasoned web developer with years of experience or just starting, this course is designed to help you take your skills to the next level.
For Web Developers of All Levels
Basics of Node JS, ReactJS, and Python
No prior programming experience is required, and the course is suitable for developers of all levels, from beginners to advanced.
# Requirements and prerequisites for the course :
Basics of web development: HTML, CSS
Some basic programming language
The javascript fundamentals and Python
In this comprehensive course, you will gain a deep understanding of the OpenAI API and its capabilities, along with hands-on experience in building your applications using Node.js, ReactJS, and Python.
So why wait? Enroll now and unleash the full potential of AI and build your first nextGen application.
- The OpenAI API is one of the most exciting advancements in the world of natural language and code processing.
- Its powerful models and flexible endpoints offer a wealth of possibilities for web developers looking to take their skills to the next level.
- In this course, you'll dive into the world of OpenAI APIs and GPT language models. Our focus will be on the completions endpoint and how it can be applied to text completion and various other language-processing tasks.
- Students will work on an end-to-end Generative AI project incorporating the learned concepts.
The course includes Projects, Hands-on Labs, Case Studies and Real-world Applications.
# 1: Introduction to Generative AI :
with the OpenAI API to solve a wide range of language processing tasks, including :
content generation, summarization, semantic search, and sentiment analysis
a quickstart Tutorial to gain experience and build your first AI-powered application with the APIs and the large language models (LLMs).
You will learn how to build a simple sample node application.
Along the way, you’ll learn key concepts and techniques :
authentication with the API key,
prompt design, adjust settings and generate completions
# 2: The Chat models Models:
explore the different language models available through the OpenAI API, including the cutting-edge GPT language model
integrate the Chat completion API to create an AI-agent
# 3: Speech-to-Text
discover the Audio Whisper API to turn audio files into transcriptions
implementing Speech-to-Text to convert podcast audio samples into text
# 4: Function Calling in AI Systems
extend the LLMs capacities
and give the language models the ability to call external APIs and generate extended responses.
# 5: Experiment with LangChain : a framework to easily create applications with the generative models
# Target and intended audience
Whether you're a seasoned web developer with years of experience or just starting, this course is designed to help you take your skills to the next level.
For Web Developers of All Levels
Basics of Node JS, ReactJS, and Python
No prior programming experience is required, and the course is suitable for developers of all levels, from beginners to advanced.
# Requirements and prerequisites for the course :
Basics of web development: HTML, CSS
Some basic programming language
The javascript fundamentals and Python
In this comprehensive course, you will gain a deep understanding of the OpenAI API and its capabilities, along with hands-on experience in building your applications using Node.js, ReactJS, and Python.
So why wait? Enroll now and unleash the full potential of AI and build your first nextGen application.
Hi there,
Welcome to my " Data Science | The Power of ChatGPT in Python & Data Science " course.
Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI, Machine Learning
Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.
Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python, python programming, python examples, python example, python hands-on, pycharm python, python pycharm, python with examples, python: learn python with real python hands-on examples, learn python, real python
Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.
ChatGPT is a prototype AI chatbot developed by OpenAI that specializes in conversation. A chatbot is a large language model that has been fine-tuned with both supervised and reinforcement learning techniques.
ChatGPT is a great tool that is capable of producing texts, codes, and summarizing articles. Data Scientists can effectively leverage the power of this LLM tool to generate code snippets for common data science tasks such as loading data, preprocessing of data, model training, and evaluation.
ChatGPT is a powerful tool that data scientists can use to enhance their work. With its natural language processing capabilities, ChatGPT can provide quick and accurate answers to a wide range of data mining questions, making it an indispensable resource for those working in this field.
Do you want to learn one of the employer’s most requested skills? If you think so, you are at the right place.
We've designed for you "Python: Learn Python with Real Python Hands-On Examples” a straightforward course for the Python programming language.
In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.
This Python course is for everyone!
My "Python: Learn Python with Real Python Hands-On Examples" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).
Why Python?
Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.
No prior knowledge is needed!
Python doesn't need any prior knowledge to learn it and the Ptyhon code is easy to understand for beginners.
What you will learn?
In this course, we will start from the very beginning and go all the way to programming with hands-on examples . We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development like
Getting to know the dataset using ChatGPT
Getting started with Exploratory Data Analysis(EDA) using ChatGPT
Perform Univariate Analysis using ChatGPT
Perform Bivariate Analysis using ChatGPT
Perform Multivariate Analysis using ChatGPT
Perform Correlation Analysis using ChatGPT
Prepare data for machine learning model using ChatGPT
Create a machine learning model using the Linear Regression algorithm with ChatGPT
Develop machine learning model using ChatGPT
Perform Feature Engineering using ChatGPT
Performing Hyperparameter Optimization using ChatGPT
2.1 Loading Dataset using ChatGPT
Perform initial analysis on Dataset using ChatGPT
Performing the first operation on the Dataset using ChatGPT
Tackling Missing values using ChatGPT
Performing Bivariate analysis with CatPLot using ChatGPT
Performing Bivariate analysis with KdePLot using ChatGPT
Examining the correlation of variables using ChatGPT
Perform a get_dummies operation using ChatGPT
Prepare for Logistic Regression modeling using ChatGPT
Create a Logistic Regression model using ChatGPT
Examining evaluation metrics on the Logistic Regression model using ChatGPT
Perform a GridSearchCv operation using ChatGPT
Model reconstruction with best parameters using ChatGPT
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.
Do not forget ! Python for beginners has the second largest number of job postings relative to all other languages. So it will earn you a lot of money and will bring a great change in your resume.
What is python?
Machine learning python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python bootcamp is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.
Python vs. R: What is the Difference?
Python and R are two of today's most popular programming tools. When deciding between Python and R in data science , you need to think about your specific needs. On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets. On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance.
What does it mean that Python is object-oriented?
Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.
What are the limitations of Python?
Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant.
How is Python used?
Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library.
What jobs use Python?
Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.
How do I learn Python on my own?
Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Udemy’s online courses are a great place to start if you want to learn Python on your own.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.
Video and Audio Production Quality
All our videos are created/produced as high-quality video and audio to provide you the best learning experience.
You will be,
Seeing clearly
Hearing clearly
Moving through the course without distractions
You'll also get:
Lifetime Access to The Course
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Dive in now!
We offer full support, answering any questions.
See you in the " Data Science | The Power of ChatGPT in Python & Data Science " course.
Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI, Machine Learning
Hi there,
Welcome to my " Data Science | The Power of ChatGPT in Python & Data Science " course.
Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI, Machine Learning
Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.
Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python, python programming, python examples, python example, python hands-on, pycharm python, python pycharm, python with examples, python: learn python with real python hands-on examples, learn python, real python
Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.
ChatGPT is a prototype AI chatbot developed by OpenAI that specializes in conversation. A chatbot is a large language model that has been fine-tuned with both supervised and reinforcement learning techniques.
ChatGPT is a great tool that is capable of producing texts, codes, and summarizing articles. Data Scientists can effectively leverage the power of this LLM tool to generate code snippets for common data science tasks such as loading data, preprocessing of data, model training, and evaluation.
ChatGPT is a powerful tool that data scientists can use to enhance their work. With its natural language processing capabilities, ChatGPT can provide quick and accurate answers to a wide range of data mining questions, making it an indispensable resource for those working in this field.
Do you want to learn one of the employer’s most requested skills? If you think so, you are at the right place.
We've designed for you "Python: Learn Python with Real Python Hands-On Examples” a straightforward course for the Python programming language.
In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.
This Python course is for everyone!
My "Python: Learn Python with Real Python Hands-On Examples" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).
Why Python?
Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.
No prior knowledge is needed!
Python doesn't need any prior knowledge to learn it and the Ptyhon code is easy to understand for beginners.
What you will learn?
In this course, we will start from the very beginning and go all the way to programming with hands-on examples . We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development like
Getting to know the dataset using ChatGPT
Getting started with Exploratory Data Analysis(EDA) using ChatGPT
Perform Univariate Analysis using ChatGPT
Perform Bivariate Analysis using ChatGPT
Perform Multivariate Analysis using ChatGPT
Perform Correlation Analysis using ChatGPT
Prepare data for machine learning model using ChatGPT
Create a machine learning model using the Linear Regression algorithm with ChatGPT
Develop machine learning model using ChatGPT
Perform Feature Engineering using ChatGPT
Performing Hyperparameter Optimization using ChatGPT
2.1 Loading Dataset using ChatGPT
Perform initial analysis on Dataset using ChatGPT
Performing the first operation on the Dataset using ChatGPT
Tackling Missing values using ChatGPT
Performing Bivariate analysis with CatPLot using ChatGPT
Performing Bivariate analysis with KdePLot using ChatGPT
Examining the correlation of variables using ChatGPT
Perform a get_dummies operation using ChatGPT
Prepare for Logistic Regression modeling using ChatGPT
Create a Logistic Regression model using ChatGPT
Examining evaluation metrics on the Logistic Regression model using ChatGPT
Perform a GridSearchCv operation using ChatGPT
Model reconstruction with best parameters using ChatGPT
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.
Do not forget ! Python for beginners has the second largest number of job postings relative to all other languages. So it will earn you a lot of money and will bring a great change in your resume.
What is python?
Machine learning python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python bootcamp is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.
Python vs. R: What is the Difference?
Python and R are two of today's most popular programming tools. When deciding between Python and R in data science , you need to think about your specific needs. On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets. On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance.
What does it mean that Python is object-oriented?
Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.
What are the limitations of Python?
Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant.
How is Python used?
Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library.
What jobs use Python?
Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.
How do I learn Python on my own?
Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Udemy’s online courses are a great place to start if you want to learn Python on your own.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.
Video and Audio Production Quality
All our videos are created/produced as high-quality video and audio to provide you the best learning experience.
You will be,
Seeing clearly
Hearing clearly
Moving through the course without distractions
You'll also get:
Lifetime Access to The Course
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Dive in now!
We offer full support, answering any questions.
See you in the " Data Science | The Power of ChatGPT in Python & Data Science " course.
Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI, Machine Learning
Hello welcome to "Mojo Programming Language Basic to Expert with AI Use cases" from AI Ninja
Worlds best Interactive Content creators on Python and Mojo programming Language who have helped thousands of learners become proficient Python coders with their interactive content.
Introduction to Mojo Programming Language
Mojo is a revolutionary programming language tailored specifically for the demanding world of artificial intelligence development It stands out as a highperformance language surpassing Python by a staggering 35000 times in execution speed Mojo combines the best of both worlds the ease of Python with the performance capabilities of languages like C
Mojo Superset of Python
Python is a widely used, powerful, and user-friendly programming language known for its large community support. It is extensively used in middleware activities, Data Science, Artificial Intelligence (AI), and Machine Learning. However, one drawback of Python in comparison to low-level languages like C, C++ is its slower execution speed. Mojo addresses this by combining Python's flexibility with the speed of these low-level languages.
Mojo is built in alignment with the syntax and language foundation of Python. If you're new to Mojo without a background in Python, or if you're a Python programmer looking to upgrade your skills, I highly recommend my comprehensive paid course, "Python Programming: Beginner to Expert, 500+ Python Code Examples," which includes 500 real-time code examples.
Why Mojo
Mojo is designed to offer a unique blend of Pythons ease of use and Cs high performance making it an exceptional tool for building powerful AI models and applications It harnesses the cuttingedge LLVM compiler infrastructure ensuring optimal performance and robust error handling With features like gradual typing and an autotuning system Mojo achieves speeds up to 35000 times faster than Python
Furthermore Mojos efficiency and opensource nature make it an attractive option for a wide range of AI applications Whether youre working on image recognition natural language processing or reinforcement learning Mojo empowers developers to create robust and highperforming solutions
Experience the future of AI development with Mojo a language poised to revolutionize the field Dive into the Playground and see for yourself how Mojo is setting new standards in speed efficiency and usability
Mojo Internal Architecture
Understanding the internal workings of Mojo is crucial for harnessing its full potential Dive into the underlying structure and discover how its architecture empowers developers in creating highperformance AI applications
Python vs Mojo A Performance Comparison
In the realm of AI development speed is paramount Mojos remarkable performance outpacing Python by 35000 times positions it as an unrivaled choice for performancecritical applications Explore benchmarks and examples showcasing Mojos prowess
Mojo Compiler Unleashing Performance
The Mojo Compiler plays a pivotal role in optimizing code execution Discover the compilation process explore compiler optimization techniques and learn how to leverage its capabilities to enhance performance
Installation and Setup of Mojo
Getting started with Mojo is a breeze Learn how to set up and install Mojo on your system and gain access to a powerful toolset for AI development
Anaconda Jupyter Notebook with Mojo
Integrating Mojo with popular environments like Anaconda and Jupyter Notebook opens up a world of possibilities Explore seamless workflows and harness the power of Mojo within these familiar platforms
Variable Syntax and Data Types in Mojo
Master the fundamentals of Mojo programming Delve into variable declaration understand basic syntax and grasp the range of data types supported by the language
Mojo Syntax and Semantics Writing Efficient Code
Efficiency is at the core of Mojo Learn the syntax and semantics that enable developers to write clean organized and highperformance code
Struct Types and Strong Type Checking in Mojo
Structures are a cornerstone of Mojos architecture Understand how to leverage struct types and embrace strong type checking for efficient AI development
Basic Operators Expressions and InputOutput
Uncover the power of operators and expressions in Mojo Learn how to handle input and output operations effectively within the language
Control Structures Navigating Program Flow
Control structures are essential for creating robust programs Master conditional statements and loops to effectively navigate program execution
Functions in Mojo Modular and Efficient Coding
Functions are the building blocks of any program Explore the nuances of defining and utilizing functions in Mojo promoting modular and efficient coding practices
Methods, Constructors and Method Overloading in Mojo
Arrays in Mojo Handling Data Collections
Efficiently managing data collections is a critical skill Learn how to work with arrays in Mojo enabling effective data manipulation
ObjectOriented Programming in Mojo
Dive into the world of objectoriented programming OOP with Mojo Understand the concepts of classes objects inheritance polymorphism constructors and destructors
Python Integration with Mojo
Discover how Mojo seamlessly integrates with Python allowing developers to leverage the strengths of both languages in their projects
Understanding MLIR Mojos Foundation
MLIR the foundation of Mojo plays a pivotal role in its capabilities Gain insight into the internal workings of MLIR and understand how it contributes to Mojos power
Mojo Builtin Modules Extending Functionality
Explore the builtin modules within Mojo that enhance its functionality Learn how to leverage these modules to streamline development
Mojo Use Cases
AI Development Mojos blend of speed efficiency and parallel processing capabilities positions it as an ideal choice for constructing AI and machine learning applications
Image Recognition Mojo facilitates the creation of advanced image recognition systems capable of identifying objects in images including faces cars and more
Natural Language Processing With Mojo developers can craft applications that comprehend and process human language enabling functions like translation text summarization and questionanswering
Speech Recognition Mojo empowers applications to convert spoken language into text enabling accurate audio transcription
Reinforcement Learning Developers can leverage Mojo to create applications that train AI agents to perform various tasks from playing games to making decisions
Web and Desktop Applications Mojo supports the development of web and desktop applications ranging from ecommerce platforms to productivity tools
Mobile Applications Mojo enables the creation of mobile applications for smartphones and tablets including games and productivity apps
Data Science Mojo is adept at building data science applications for analyzing and interpreting large datasets facilitating tasks like predicting customer behavior and detecting fraud
AI and Machine Learning Mojo serves as a powerful tool for developing applications that learn and adapt over time as well as those performing tasks associated with human intelligence
Conclusion Mastering Mojo for AI Development
Congratulations Youve embarked on a journey to master the Mojo Programming Language Armed with this comprehensive guide youre wellequipped to dive into the world of AI development with the speed and efficiency that Mojo offers Keep exploring experimenting and pushing the boundaries of whats possible with Mojo
Mojo is built in alignment with the syntax and language foundation of Python. If you're new to Mojo without a background in Python, or if you're a Python programmer looking to upgrade your skills, I highly recommend my comprehensive paid course, "Python Programming: Beginner to Expert, 500+ Python Code Examples," which includes 500 real-time code examples.
Note : As Mojo is a new language, we will continuously add new content, chapters, topics, and use cases throughout your learning journey.
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Hello welcome to "Mojo Programming Language Basic to Expert with AI Use cases" from AI Ninja
Worlds best Interactive Content creators on Python and Mojo programming Language who have helped thousands of learners become proficient Python coders with their interactive content.
Introduction to Mojo Programming Language
Mojo is a revolutionary programming language tailored specifically for the demanding world of artificial intelligence development It stands out as a highperformance language surpassing Python by a staggering 35000 times in execution speed Mojo combines the best of both worlds the ease of Python with the performance capabilities of languages like C
Mojo Superset of Python
Python is a widely used, powerful, and user-friendly programming language known for its large community support. It is extensively used in middleware activities, Data Science, Artificial Intelligence (AI), and Machine Learning. However, one drawback of Python in comparison to low-level languages like C, C++ is its slower execution speed. Mojo addresses this by combining Python's flexibility with the speed of these low-level languages.
Mojo is built in alignment with the syntax and language foundation of Python. If you're new to Mojo without a background in Python, or if you're a Python programmer looking to upgrade your skills, I highly recommend my comprehensive paid course, "Python Programming: Beginner to Expert, 500+ Python Code Examples," which includes 500 real-time code examples.
Why Mojo
Mojo is designed to offer a unique blend of Pythons ease of use and Cs high performance making it an exceptional tool for building powerful AI models and applications It harnesses the cuttingedge LLVM compiler infrastructure ensuring optimal performance and robust error handling With features like gradual typing and an autotuning system Mojo achieves speeds up to 35000 times faster than Python
Furthermore Mojos efficiency and opensource nature make it an attractive option for a wide range of AI applications Whether youre working on image recognition natural language processing or reinforcement learning Mojo empowers developers to create robust and highperforming solutions
Experience the future of AI development with Mojo a language poised to revolutionize the field Dive into the Playground and see for yourself how Mojo is setting new standards in speed efficiency and usability
Mojo Internal Architecture
Understanding the internal workings of Mojo is crucial for harnessing its full potential Dive into the underlying structure and discover how its architecture empowers developers in creating highperformance AI applications
Python vs Mojo A Performance Comparison
In the realm of AI development speed is paramount Mojos remarkable performance outpacing Python by 35000 times positions it as an unrivaled choice for performancecritical applications Explore benchmarks and examples showcasing Mojos prowess
Mojo Compiler Unleashing Performance
The Mojo Compiler plays a pivotal role in optimizing code execution Discover the compilation process explore compiler optimization techniques and learn how to leverage its capabilities to enhance performance
Installation and Setup of Mojo
Getting started with Mojo is a breeze Learn how to set up and install Mojo on your system and gain access to a powerful toolset for AI development
Anaconda Jupyter Notebook with Mojo
Integrating Mojo with popular environments like Anaconda and Jupyter Notebook opens up a world of possibilities Explore seamless workflows and harness the power of Mojo within these familiar platforms
Variable Syntax and Data Types in Mojo
Master the fundamentals of Mojo programming Delve into variable declaration understand basic syntax and grasp the range of data types supported by the language
Mojo Syntax and Semantics Writing Efficient Code
Efficiency is at the core of Mojo Learn the syntax and semantics that enable developers to write clean organized and highperformance code
Struct Types and Strong Type Checking in Mojo
Structures are a cornerstone of Mojos architecture Understand how to leverage struct types and embrace strong type checking for efficient AI development
Basic Operators Expressions and InputOutput
Uncover the power of operators and expressions in Mojo Learn how to handle input and output operations effectively within the language
Control Structures Navigating Program Flow
Control structures are essential for creating robust programs Master conditional statements and loops to effectively navigate program execution
Functions in Mojo Modular and Efficient Coding
Functions are the building blocks of any program Explore the nuances of defining and utilizing functions in Mojo promoting modular and efficient coding practices
Methods, Constructors and Method Overloading in Mojo
Arrays in Mojo Handling Data Collections
Efficiently managing data collections is a critical skill Learn how to work with arrays in Mojo enabling effective data manipulation
ObjectOriented Programming in Mojo
Dive into the world of objectoriented programming OOP with Mojo Understand the concepts of classes objects inheritance polymorphism constructors and destructors
Python Integration with Mojo
Discover how Mojo seamlessly integrates with Python allowing developers to leverage the strengths of both languages in their projects
Understanding MLIR Mojos Foundation
MLIR the foundation of Mojo plays a pivotal role in its capabilities Gain insight into the internal workings of MLIR and understand how it contributes to Mojos power
Mojo Builtin Modules Extending Functionality
Explore the builtin modules within Mojo that enhance its functionality Learn how to leverage these modules to streamline development
Mojo Use Cases
AI Development Mojos blend of speed efficiency and parallel processing capabilities positions it as an ideal choice for constructing AI and machine learning applications
Image Recognition Mojo facilitates the creation of advanced image recognition systems capable of identifying objects in images including faces cars and more
Natural Language Processing With Mojo developers can craft applications that comprehend and process human language enabling functions like translation text summarization and questionanswering
Speech Recognition Mojo empowers applications to convert spoken language into text enabling accurate audio transcription
Reinforcement Learning Developers can leverage Mojo to create applications that train AI agents to perform various tasks from playing games to making decisions
Web and Desktop Applications Mojo supports the development of web and desktop applications ranging from ecommerce platforms to productivity tools
Mobile Applications Mojo enables the creation of mobile applications for smartphones and tablets including games and productivity apps
Data Science Mojo is adept at building data science applications for analyzing and interpreting large datasets facilitating tasks like predicting customer behavior and detecting fraud
AI and Machine Learning Mojo serves as a powerful tool for developing applications that learn and adapt over time as well as those performing tasks associated with human intelligence
Conclusion Mastering Mojo for AI Development
Congratulations Youve embarked on a journey to master the Mojo Programming Language Armed with this comprehensive guide youre wellequipped to dive into the world of AI development with the speed and efficiency that Mojo offers Keep exploring experimenting and pushing the boundaries of whats possible with Mojo
Mojo is built in alignment with the syntax and language foundation of Python. If you're new to Mojo without a background in Python, or if you're a Python programmer looking to upgrade your skills, I highly recommend my comprehensive paid course, "Python Programming: Beginner to Expert, 500+ Python Code Examples," which includes 500 real-time code examples.
Note : As Mojo is a new language, we will continuously add new content, chapters, topics, and use cases throughout your learning journey.
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