Find the Contiguous Subarray with the Largest Sum in Python
Learn single dimensional array with array library: https://lnkd.in/e7HxQ9YD
Learn multidimensional array with numpy array: https://lnkd.in/es-suuFn
Join Telegram: https://lnkd.in/eqzxBdih
#epythonlab #pythontutorial #numpyarray
Learn single dimensional array with array library: https://lnkd.in/e7HxQ9YD
Learn multidimensional array with numpy array: https://lnkd.in/es-suuFn
Join Telegram: https://lnkd.in/eqzxBdih
#epythonlab #pythontutorial #numpyarray
❤2
Working with YAML files in Python: Reading and Writing Data
https://youtu.be/1RceY4dQOic
#pythontutorial #epythonlab #datascience
https://youtu.be/1RceY4dQOic
#pythontutorial #epythonlab #datascience
YouTube
Working with YAML Files in Python: Reading and Writing Data
In this tutorial, you will learn how to work with YAML files in Python. YAML files are widely used for data serialization and configuration purposes, offering a human-readable format for storing hierarchical data. We'll cover the basics of reading and writing…
👍4❤3
A step by step tutorial how to build a github repo search tool using html, css, and flask.
This project will really help you to get insights on how to build your own portfolio project using Python as a backend and html CSS as a front end and also integrating third party API to obtain the required data for your project.
Feel free to contribute to this project.
✔️ The source code link is in the description box of this tutorial.
#python #epythonlab #webdevelopment #pythontutorial #flask
https://www.youtube.com/watch?v=iBMtv-MMqKg
This project will really help you to get insights on how to build your own portfolio project using Python as a backend and html CSS as a front end and also integrating third party API to obtain the required data for your project.
Feel free to contribute to this project.
✔️ The source code link is in the description box of this tutorial.
#python #epythonlab #webdevelopment #pythontutorial #flask
https://www.youtube.com/watch?v=iBMtv-MMqKg
YouTube
Building a GitHub Repo Search Tool with Flask: Web Development Tutorial
In this web development tutorial, I'll guide you through the process of building a GitHub Repo Search tool using the Flask framework. Explore how to create routes, handle form submissions, and integrate the GitHub API to fetch repository data. With Flask's…
👍3
Forwarded from Epython Lab
As a data scientist 70-80 percent of your time spending on data cleansing. If you have given data which contains special characters and you may need to avoid those special characters, what methods do you use to avoid it?
https://youtu.be/qL7lX5lCfgw
https://youtu.be/qL7lX5lCfgw
YouTube
How to Remove Special Characters from a String
Hello everyone and welcome to this video. In this video, you will learn about how to remove special characters from a string using two methods.
1. Using for loop
2. Using regular expression
#python #pythontutorial #datascience
Thanks for watching!
1. Using for loop
2. Using regular expression
#python #pythontutorial #datascience
Thanks for watching!
👍3
💡 Researchers & Beginners in Python!
This step-by-step guide walks you through installing and setting up Python on Windows using the Microsoft Store, along with VS Code setup to get you coding in no time!
🔗 https://www.youtube.com/watch?v=EGdhnSEWKok
Like & share if you found this helpful!
#PythonForResearch #PythonSetup #DataScience #AI #MachineLearning #CodingForBeginners #ResearchTools #Academia #PythonOnWindows
This step-by-step guide walks you through installing and setting up Python on Windows using the Microsoft Store, along with VS Code setup to get you coding in no time!
🔗 https://www.youtube.com/watch?v=EGdhnSEWKok
Like & share if you found this helpful!
#PythonForResearch #PythonSetup #DataScience #AI #MachineLearning #CodingForBeginners #ResearchTools #Academia #PythonOnWindows
YouTube
How to Install Python & VSCode on Windows (Step-by-Step)
Want to start coding in Python on Windows? This beginner-friendly guide walks you through the setup process—from installing Python and VS Code to writing your first Python script. 🚀 Whether you're a beginner or switching to Python, this tutorial makes it…
👍2
🚀 How to Become a Self-Taught AI Developer?
AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it:
1️⃣ Master the Fundamentals of Programming
Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
👉How to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
👉Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
👉Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2️⃣ Build a Strong Math Foundation
AI relies on:
🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
🔹 Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
🔹 Calculus – Derivatives, gradients (used in optimization)
📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3️⃣ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
✔️ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
✔️ Unsupervised Learning – Clustering, PCA
✔️ Reinforcement Learning – Q-learning, deep Q-networks
🔗 Best course? Andrew Ng’s ML Course on Coursera.
4️⃣ Dive into Deep Learning
Once comfortable with ML, explore:
⚡️ Neural Networks (ANNs, CNNs, RNNs, Transformers)
⚡️ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
⚡️ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5️⃣ Build Real-World Projects
The best way to learn AI? DO AI. 🚀
💡 Train models with Kaggle datasets
💡 Build a chatbot, image classifier, or recommendation system
💡 Contribute to open-source AI projects
6️⃣ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
🔹 Following Google AI, OpenAI, DeepMind
🔹 Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
🔹 Attending AI conferences like NeurIPS & ICML
7️⃣ Create a Portfolio & Apply for AI Roles
📌 Publish projects on GitHub
📌 Share insights on Medium/Towards Data Science
📌 Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and let’s build the future with AI. 🚀
Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. 🔥👇
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it:
1️⃣ Master the Fundamentals of Programming
Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
👉How to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
👉Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
👉Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2️⃣ Build a Strong Math Foundation
AI relies on:
🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
🔹 Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
🔹 Calculus – Derivatives, gradients (used in optimization)
📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3️⃣ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
✔️ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
✔️ Unsupervised Learning – Clustering, PCA
✔️ Reinforcement Learning – Q-learning, deep Q-networks
🔗 Best course? Andrew Ng’s ML Course on Coursera.
4️⃣ Dive into Deep Learning
Once comfortable with ML, explore:
⚡️ Neural Networks (ANNs, CNNs, RNNs, Transformers)
⚡️ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
⚡️ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5️⃣ Build Real-World Projects
The best way to learn AI? DO AI. 🚀
💡 Train models with Kaggle datasets
💡 Build a chatbot, image classifier, or recommendation system
💡 Contribute to open-source AI projects
6️⃣ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
🔹 Following Google AI, OpenAI, DeepMind
🔹 Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
🔹 Attending AI conferences like NeurIPS & ICML
7️⃣ Create a Portfolio & Apply for AI Roles
📌 Publish projects on GitHub
📌 Share insights on Medium/Towards Data Science
📌 Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and let’s build the future with AI. 🚀
Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. 🔥👇
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
YouTube
How to Install Python & VSCode on Windows (Step-by-Step)
Want to start coding in Python on Windows? This beginner-friendly guide walks you through the setup process—from installing Python and VS Code to writing your first Python script. 🚀 Whether you're a beginner or switching to Python, this tutorial makes it…
👍1
Forwarded from Epython Lab
🚀 How to Become a Self-Taught AI Developer?
AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it:
1️⃣ Master the Fundamentals of Programming
Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
👉How to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
👉Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
👉Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2️⃣ Build a Strong Math Foundation
AI relies on:
🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
🔹 Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
🔹 Calculus – Derivatives, gradients (used in optimization)
📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3️⃣ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
✔️ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
✔️ Unsupervised Learning – Clustering, PCA
✔️ Reinforcement Learning – Q-learning, deep Q-networks
🔗 Best course? Andrew Ng’s ML Course on Coursera.
4️⃣ Dive into Deep Learning
Once comfortable with ML, explore:
⚡️ Neural Networks (ANNs, CNNs, RNNs, Transformers)
⚡️ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
⚡️ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5️⃣ Build Real-World Projects
The best way to learn AI? DO AI. 🚀
💡 Train models with Kaggle datasets
💡 Build a chatbot, image classifier, or recommendation system
💡 Contribute to open-source AI projects
6️⃣ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
🔹 Following Google AI, OpenAI, DeepMind
🔹 Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
🔹 Attending AI conferences like NeurIPS & ICML
7️⃣ Create a Portfolio & Apply for AI Roles
📌 Publish projects on GitHub
📌 Share insights on Medium/Towards Data Science
📌 Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and let’s build the future with AI. 🚀
Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. 🔥👇
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it:
1️⃣ Master the Fundamentals of Programming
Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
👉How to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
👉Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
👉Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2️⃣ Build a Strong Math Foundation
AI relies on:
🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
🔹 Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
🔹 Calculus – Derivatives, gradients (used in optimization)
📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3️⃣ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
✔️ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
✔️ Unsupervised Learning – Clustering, PCA
✔️ Reinforcement Learning – Q-learning, deep Q-networks
🔗 Best course? Andrew Ng’s ML Course on Coursera.
4️⃣ Dive into Deep Learning
Once comfortable with ML, explore:
⚡️ Neural Networks (ANNs, CNNs, RNNs, Transformers)
⚡️ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
⚡️ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5️⃣ Build Real-World Projects
The best way to learn AI? DO AI. 🚀
💡 Train models with Kaggle datasets
💡 Build a chatbot, image classifier, or recommendation system
💡 Contribute to open-source AI projects
6️⃣ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
🔹 Following Google AI, OpenAI, DeepMind
🔹 Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
🔹 Attending AI conferences like NeurIPS & ICML
7️⃣ Create a Portfolio & Apply for AI Roles
📌 Publish projects on GitHub
📌 Share insights on Medium/Towards Data Science
📌 Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and let’s build the future with AI. 🚀
Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. 🔥👇
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
YouTube
How to Install Python & VSCode on Windows (Step-by-Step)
Want to start coding in Python on Windows? This beginner-friendly guide walks you through the setup process—from installing Python and VS Code to writing your first Python script. 🚀 Whether you're a beginner or switching to Python, this tutorial makes it…
👍4
How to import modules for beginners
https://www.youtube.com/watch?v=0GKxOJNRtPA
https://www.youtube.com/watch?v=0GKxOJNRtPA
YouTube
Python for Beginners: Importing Modules in Python(Introduction to Modules)
Learn about one of the most important concepts in "python basics" with this "python tutorial" designed for "python for beginners". We cover "python modules" and the essential process of "importing modules" to build more complex and organized programs. This…
👍4❤1
Nested Dictionaries https://youtu.be/cmri4yyxS6k
YouTube
Python for Beginners | Master Python Nested Dictionary
Learn Python Nested Dictionary and Dictionary Comprehension
#epythonlab2025 #pythontutorial
💡 Support Us and Stay Connected!
🌟 Exclusive Access:
Join our channel for premium content and resources:https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg/join.…
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🌟 Exclusive Access:
Join our channel for premium content and resources:https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg/join.…
👍4
🚀 Start Your Python Journey Today — No Experience Needed
Want to learn Python from scratch and build real coding skills step by step?
I created a complete beginner-friendly Python course designed for anyone who wants to enter programming, data science, AI, automation, or software development — even if you have never written a single line of code before.
📘 In this course, you will learn:
✔ Python fundamentals
✔ Variables and data types
✔ Loops and functions
✔ Conditional statements
✔ Lists, dictionaries, and tuples
✔ File handling
✔ Object-Oriented Programming
✔ Real coding exercises and projects
🎯 Perfect for:
• Absolute beginners
• Students and self-learners
• Future AI & Data Science developers
• Anyone switching careers into tech
💡 The goal is simple:
Build a strong Python foundation the right way — with practical explanations and hands-on coding.
🎥 Watch the full course here:
https://youtu.be/ldR3NdSDiyE
Your programming career starts with one decision: consistency.
#Python #Programming #Coding #PythonTutorial #LearnPython #Developer #DataScience #AI #MachineLearning #Beginners #SoftwareDevelopment
Want to learn Python from scratch and build real coding skills step by step?
I created a complete beginner-friendly Python course designed for anyone who wants to enter programming, data science, AI, automation, or software development — even if you have never written a single line of code before.
📘 In this course, you will learn:
✔ Python fundamentals
✔ Variables and data types
✔ Loops and functions
✔ Conditional statements
✔ Lists, dictionaries, and tuples
✔ File handling
✔ Object-Oriented Programming
✔ Real coding exercises and projects
🎯 Perfect for:
• Absolute beginners
• Students and self-learners
• Future AI & Data Science developers
• Anyone switching careers into tech
💡 The goal is simple:
Build a strong Python foundation the right way — with practical explanations and hands-on coding.
🎥 Watch the full course here:
https://youtu.be/ldR3NdSDiyE
Your programming career starts with one decision: consistency.
#Python #Programming #Coding #PythonTutorial #LearnPython #Developer #DataScience #AI #MachineLearning #Beginners #SoftwareDevelopment
YouTube
The Complete Python Tutorial for Beginners(No Coding Experience is Required) | Python Basics to OOP
🚀 Master Python Programming: The Complete Beginner to Pro Python Course (2026)
Ready to start your coding journey? This comprehensive Python tutorial for beginners takes you from absolute zero to building complex applications using Object-Oriented Programming…
Ready to start your coding journey? This comprehensive Python tutorial for beginners takes you from absolute zero to building complex applications using Object-Oriented Programming…