Category: Tutorials

Free Download Python for Kids & Beginners – Taught by a 13-Year-Old
Published 3/2026
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 7m | Size: 1.42 GB
Learn the fundamentals of programming and Python with a 13-year old, Shaurya Panpatte!

What you’ll learn
Understand core Python programming concepts
Develop programming and logical-reasoning skills, and make their own programs.
Apply Python concepts in school curriculum.
Gain strong foundational knowledge aligned with PCEP (Python Entry-Level) concepts.
Requirements
No prior programming experience is required.
A computer with an active internet connection on Mac, Windows, or Linux
Description
This Python course is created and taught by Shaurya Panpatte, a 13-year-old Certified Entry-Level Python Programmer, with the goal of making programming simple, relatable, and enjoyable for beginners. The course is designed especially for students, school learners, and first-time coders who want to understand the fundamentals of programming and Python in a clear and structured way.
The teaching approach is intentionally simple and step by step, using examples, practice exercises, quizzes, and small projects to help learners build confidence. Instead of jumping straight into complex topics, the course focuses on building a strong foundation-covering concepts such as variables, data types, conditions, loops, collections, and functions-so learners truly understand how Python works.
While the course is aligned with the concepts covered in the PCEP (Certified Entry-Level Python Programmer) syllabus, it is not an exam-preparation course. Instead, it aims to prepare learners conceptually so they can comfortably progress to higher-level Python courses and certifications in the future.
The content is also helpful for students following school programming curriculum, making it a great supplement for classroom learning. By the end of the course, learners will be able to write basic Python programs confidently, think logically, and take their next steps in the world of programming with clarity and confidence.
Who this course is for
This course is for people who are beginners to programming and Python, and those who want to strengthen their knowledge in programming to build their foundation and advance to examinations, and higher-level courses.

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Free Download Python for Beginners Step-by-Step Beginner-Friendly Course
Published 4/2026
Created by Dilara Parvin
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 79 Lectures ( 10h 30m ) | Size: 6.54 GB

Learn Python from scratch with simple explanations, hands-on examples, and real-world projects.
What you’ll learn
✓ Understand the basics of Python programming
✓ Write and run your first Python programs with confidence
✓ Write clean and efficient code
✓ Understand core programming concepts
✓ Work with variables, data types, and operators
✓ Use conditional statements and loops
✓ Create functions to organize your code
✓ Build small real-world projects step by step
Requirements
● An interest in learning Python.
● Access to a computer with an internet connection.
Description
Disclaimer: "This course contains the use of artificial intelligence."
Are you ready to start your programming journey but don’t know where to begin? This comprehensive Python for Beginners course is designed specifically for absolute beginners with little to no coding experience. Whether you’re a student, professional, or simply curious about programming, this course will guide you step by step to build a strong foundation in Python.
Python is one of the most popular and in-demand programming languages in the world today. It is widely used in web development, data science, artificial intelligence, automation, and more. Its simple and readable syntax makes it the perfect language for beginners to learn.
In this course, you will start from the very basics-understanding what programming is and how Python works. You’ll learn how to install Python, set up your development environment, and write your very first program. From there, the course gradually progresses into core programming concepts such as variables, data types, operators, and user input.
As you move forward, you will explore essential topics including conditional statements (if-else), loops (for and while), functions, and error handling. Each concept is explained in a simple and clear way, followed by practical examples and hands-on exercises to reinforce your understanding.
The course also introduces important data structures such as lists, tuples, sets, and dictionaries, helping you learn how to store and manipulate data effectively. You will gain experience working with strings, file handling, and basic problem-solving techniques.
What makes this course truly beginner-friendly is its step-by-step teaching approach. Complex topics are broken down into small, easy-to-understand lessons. You will also work on mini-projects and real-world examples, allowing you to apply what you’ve learned and build confidence in your skills.
By completing this Python for Beginners: Step-by-Step Beginner-Friendly Course, you have taken an important first step into the world of programming. You’ve built a solid foundation by learning core concepts, practicing hands-on exercises, and understanding how to think like a programmer.
Remember, learning Python-or any programming language-is a journey that continues beyond this course. The skills you’ve gained here open the door to more advanced areas such as web development, data analysis, automation, and artificial intelligence. With consistent practice and curiosity, you can keep improving and expanding your knowledge.
Who this course is for
■ Absolute beginners with no prior programming experience
■ Students who want to learn coding fundamentals
■ Professionals looking to switch careers or upgrade their skills
■ Anyone interested in technology and software development
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/python-zero-to-hero-basics

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Free Download Python for Beginners From Setup to Real Projects
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 43m | Size: 2.97 GB
Master Python 3 from scratch! Learn data structures, OOP, file handling, web scraping, and more with real-world projects

What you’ll learn
Understanding Python syntax, variables, and data types
Working with numbers, strings, lists, dictionaries, tuples, sets, and Booleans
Performing input/output operations with files
Mastering comparison and logical operators
Using loops (for, while) and conditional statements (if-else)
Implementing list comprehensions
Writing functions with arguments, keyword arguments, and variable scope
Understanding classes, objects, and attributes
Implementing inheritance and polymorphism
Using magic methods (dunder methods) in Python
Handling exceptions with try-except blocks
Writing unit tests using the unittest library
Debugging code effectively
Installing and using external packages with pip
Understanding the name == ‘main‘ construct
Implementing Python decorators and generators
Reading and writing text, JSON, and binary files
Managing directories and files with Python’s OS module
Performing advanced file-handling techniques
Extracting data from web pages using BeautifulSoup and Scrapy
ing images and processing HTML data
Automating web tasks
Basic image processing using Pillow
Advanced image processing with OpenCV
Implementing face detection and real-time image recognition
Setting up a logging system
Creating custom loggers and handlers
Implementing log rotation and advanced filtering
Developing Python applications through milestone projects
Implementing Web Scraping and Data Analysis
Creating a Task Management System
Designing an Advanced Logging and Data Streaming System
Developing an Email Automation System
Building an Image Processing and Filtering App
Requirements
No Prior Programming Experience Required – This course is designed for complete beginners.
A computer (Windows, macOS, or Linux) with internet access.
A willingness to learn and practice Python programming.
Description
Learn Python from scratch and build a strong foundation in programming-even if you have zero experience!
This course is designed to take you step-by-step from installing Python to writing real-world programs. You’ll understand core concepts like data structures, control flow, functions, and more-then apply them in a practical milestone project.
By the end of this course, you’ll be able to confidently write Python code and start building your own applications.
What You’ll Learn
• Install and set up Python on your system
• Understand Python syntax and fundamentals
• Work with data types like strings, lists, dictionaries, and tuples
• Use comparison operators and logical operations
• Write clean and efficient Python code using statements
• Create reusable functions
• Build a real-world mini project
Course Content Breakdown
Section 2: Python Setup (59 minutes)
Learn how to properly install and configure Python.
Lectures include
• Installing Python (Windows/Linux)
• Setting up IDE (VS Code / PyCharm)
• Running Python scripts
• Introduction to Jupyter Notebook
Section 3: Python Object and Data Structure Basics (3.7 hours)
This is the core foundation of Python programming.
Topics covered
• Numbers and arithmetic operations
• Strings and string manipulation
• Lists and list operations
• Dictionaries and key-value pairs
• Tuples and immutability
• Sets and unique values
• Type conversion
Section 4: Python Comparison Operators (23 minutes)
Learn how Python makes decisions.
Topics covered
• Equality (==)
• Inequality (!=)
• Greater than / Less than
• Logical operators (and, or, not)
• Chaining comparisons
Section 5: Python Statements (1.3 hours)
Control the flow of your program.
Topics covered
• if, elif, else statements
• for loops
• while loops
• break, continue, pass
• List comprehensions
Section 6: Methods and Functions (1.4 hours)
Write reusable and powerful code.
Topics covered
• Defining functions
• Parameters and arguments
• Return values
• Lambda expressions
• Useful built-in functions
Section 7: Milestone Project – 1
Apply everything you’ve learned in a real project.
Project Example
• Build a simple Python application (e.g., Number Guessing Game / To-Do App)
Skills applied
• Data structures
• Loops and conditions
• Functions
• User input handling
Who this course is for
Beginners who want to learn Python from scratch
Intermediate learners looking to deepen their knowledge
Developers who want to apply Python to real-world projects
Anyone interested in automation, data handling, and web scraping

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Free Download Python for Beginners – Absolute Basics From Zero to Hero
Published 3/2026
Created by Irum Ghafoor
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 25 Lectures ( 4h 21m ) | Size: 2.54 GB

Learn Basics till Advanced Python
What you’ll learn
✓ Understand core programming concepts from scratch (no prior experience required)
✓ Learn how to think logically and solve problems like a programmer
✓ Write clean, beginner-friendly code with confidence
✓ Build small real-world projects to apply what they learn
✓ Develop computational thinking and analytical skills
✓ Understand concepts such as: Variables & data types Conditions (if/else) Loops Functions Basic debugging
✓ Gain confidence to continue learning advanced topics independently
✓ Learn best practices and proper coding habits from the start
Requirements
● No programming prerequisites required
Description
Python for Beginners to Advanced: Learn Python Step-by-Step
Are you someone who wants to learn Python but feels overwhelmed by complex tutorials?
This course is designed to take you from complete beginner to confident Python programmer in a simple, structured, and easy-to-follow way.
Whether you are a student, a beginner, or someone switching to programming, this course will help you build a strong foundation and gradually move towards advanced concepts like Object-Oriented Programming (OOP).
What you will learn
• Python basics: variables, data types, and operators
• Conditional statements (if-else)
• Loops and problem-solving techniques
• Functions and code organization
• Lists, dictionaries, and other data structures
• File handling
• Object-Oriented Programming (OOP) concepts
• Writing clean and understandable Python code
Why this course is different
• Simple explanations with no unnecessary complexity
• Step-by-step progression from basic to advanced
• Designed especially for beginners and students
• Focus on building strong concepts instead of memorization
Who this course is for
■ Absolute Beginners

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Free Download Python Django REST API CRUD MySQL, Basic Auth, OAuth2, JWT
Last updated 5/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 23m | Size: 1.46 GB
Mastering on building Python Django REST API and CRUD API. Securing REST API with Basic Auth, Token, OAuth2, JWT Token

What you’ll learn
Learn basic Python programming for students without Python knowledge
Develop basic RESTful API application with Django REST framework
Build REST API for MySQL CRUD (Create, Read, Update and Delete)
Apply Django RESTful API security with Basic authentication
Apply Django RESTful API security with authentication-based token
Apply Django RESTful API security with OAuth2
Apply Django RESTful API security with JWT Token
Apply Role-Based Authentication in Django REST API
Requirements
No Python programming knowledge. I teach a brief Python programming for you
Computer with Windows, Linux, or macOS
Internet access
Description
Python is one of programming language that is used easily. This bootcamp is designed to any web developer who wants to build REST API. We use Python Django and Django Rest Framework (DRF) to implement REST API applications.
This course focuses on
• learning basic Python programming (for student without no Python programming)
• building REST API with some projects
• securing REST API by applying basic authentication, token authentication, OAuth2 and JWT token
All courses are delivered with step-by-step approach. All course contents are hands-on-lab format so you can follow this bootcamp easily.
Who this course is for
Student and professional developers
Web developers who want to build REST API with Python Django
Any developer who upgrades skill to develop REST API with Python Django

Code:Copy to clipboard

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Python Data Visualization: Matplotlib & Seaborn Masterclass
Duration: 7h 30m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.67 GB
Genre: eLearning | Language: English​

Bring your data to LIFE and master Python’s most popular data analytics & visualization libraries: Matplotlib & Seaborn

What you’ll learn:
Master the essentials of Matplotlib & Seaborn, two of Python’s most powerful data visualization packages
Design and format 20+ chart types using Matplotlib & Seaborn, including line charts, bar charts, scatter plots, histograms, violin plots, heatmaps and more
Learn advanced customization options like subplots, gridspec, style sheets and parameters
Apply best practices for data visualization, storytelling, formatting and visual design
Build powerful, practical skills for modern analytics and business intelligence

Requirements:
We’ll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
Familiarity with base Python is strongly recommended, but not a strict prerequisite

Description:
This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib & Seaborn.

We’ll start with a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.

From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.

Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.

Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.

COURSE OUTLINE:

Intro to Data Visualization
Learn data visualization frameworks and best practices for choosing the right charts, applying effective formatting, and communicating clear, data-driven stories and insights

Matplotlib Fundamentals
Explore Python’s Matplotlib library and use it to build and customize several essential chart types, including line charts, bar charts, pie/donut charts, scatterplots and histograms

PROJECT #1: Analyzing the Global Coffee Market
Read data into Python from CSV files provided by a major global coffee trader, and use Matplotlib to visualize volume and price data by country

Advanced Customization
Apply advanced customization techniques in Matplotlib, including multi-chart figures, custom layout and colors, style sheets, gridspec, parameters and more

PROJECT #2: Visualizing Global Coffee Production
Continue your analysis of the global coffee market, and leverage advanced data visualization and formatting techniques to build a comprehensive report to communicate key insights

Data Visualization with Seaborn
Visualize data with Python’s Seaborn library, and build custom visuals using additional chart types like box plots, violin plots, joint plots, pair plots, heatmaps and more

PROJECT #3: Analyzing Used Car Sales
Use Seaborn and Matplotlib to explore, analyze and visualize automotive auction data to help your client identify the best deals on used service vehicles for the business

Join today and get immediate, lifetime access to the following:

7.5 hours of high-quality video
Matplotlib & Seaborn PDF ebook (150+ pages)
Downloadable project files & solutions
Expert support and Q&A forum
30-day satisfaction guarantee

If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you!

Happy learning!
-Chris Bruehl (Python Expert & Lead Python Instructor, Maven Analytics)

Who this course is for:
Analysts or BI professionals looking to learn data visualization with Matplotlib and Seaborn
Aspiring data scientists who want to build or strengthen their Python data visualization skills
Anyone interested in learning one of the most popular open source programming languages in the world
Students looking to learn powerful, practical skills with unique, hands-on projects and course demos

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Python Data Science: Unsupervised Machine Learning
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 5.59 GB | Duration: 16h 47m​

Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!

What you’ll learn
Master the foundations of unsupervised Machine Learning in Python, including clustering, anomaly detection, dimensionality reduction, and recommenders
Prepare data for modeling by applying feature engineering, selection, and scaling
Fit, tune, and interpret three types of clustering algorithms: K-Means Clustering, Hierarchical Clustering, and DBSCAN
Use unsupervised learning techniques like Isolation Forests and DBSCAN for anomaly detection
Apply and interpret two types of dimensionality reduction models: Principal Component Analysis (PCA) and t-SNE
Build recommendation engines using content-based and collaborative filtering techniques, including Cosine Similarity and Singular Value Decomposition (SVD)

Requirements
We strongly recommend taking our Data Prep & EDA course before this one
Jupyter Notebooks (free download, we’ll walk through the install)
Familiarity with base Python and Pandas is recommended, but not required

Description
This is a hands-on, project-based course designed to help you master the foundations for unsupervised machine learning in Python.We’ll start by reviewing the Python data science workflow, discussing the techniques & applications of unsupervised learning, and walking through the data prep steps required for modeling. You’ll learn how to set the correct row granularity for modeling, apply feature engineering techniques, select relevant features, and scale your data using normalization and standardization.From there we’ll fit, tune, and interpret 3 popular clustering models using scikit-learn. We’ll start with K-Means Clustering, learn to interpret the output’s cluster centers, and use inertia plots to select the right number of clusters. Next, we’ll cover Hierarchical Clustering, where we’ll use dendrograms to identify clusters and cluster maps to interpret them. Finally, we’ll use DBSCAN to detect clusters and noise points and evaluate the models using their silhouette score.We’ll also use DBSCAN and Isolation Forests for anomaly detection, a common application of unsupervised learning models for identifying outliers and anomalous patterns. You’ll learn to tune and interpret the results of each model and visualize the anomalies using pair plots.Next, we’ll introduce the concept of dimensionality reduction, discuss its benefits for data science, and explore the stages in the data science workflow in which it can be applied. We’ll then cover two popular techniques: Principal Component Analysis, which is great for both feature extraction and data visualization, and t-SNE, which is ideal for data visualization.Last but not least, we’ll introduce recommendation engines, and you’ll practice creating both content-based and collaborative filtering recommenders using techniques such as Cosine Similarity and Singular Value Decomposition.Throughout the course you’ll play the role of an Associate Data Scientist for the HR Analytics team at a software company trying to increase employee retention. Using the skills you learn throughout the course, you’ll use Python to segment the employees, visualize the clusters, and recommend next steps to increase retention.COURSE OUTLINE:Intro to Data Science in PythonIntroduce the fields of data science and machine learning, review essential skills, and introduce each phase of the data science workflowUnsupervised Learning 101Review the basics of unsupervised learning, including key concepts, types of techniques and applications, and its place in the data science workflowPre-Modeling Data PrepRecap the data prep steps required to apply unsupervised learning models, including restructuring data, engineering & scaling features, and moreClusteringApply three different clustering techniques in Python and learn to interpret their results using metrics, visualizations, and domain expertiseAnomaly DetectionUnderstand where anomaly detection fits in the data science workflow, and apply techniques like Isolation Forests and DBSCAN in PythonDimensionality ReductionUse techniques like Principal Component Analysis (PCA) and t-SNE in Python to reduce the number of features in a data set without losing informationRecommendersRecognize the variety of approaches for creating recommenders, then apply unsupervised learning techniques in Python, including Cosine Similarity and Singular Vector Decomposition (SVD)__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:16.5 hours of high-quality video22 homework assignments7 quizzes3 projectsPython Data Science: Unsupervised Learning ebook (350+ pages)Downloadable project files & solutionsExpert support and Q&A forum30-day satisfaction guaranteeIf you’re a business intelligence professional or data scientist looking for a practical overview of unsupervised learning techniques in Python with a focus on interpretation, this is the course for you.Happy learning!-Alice Zhao (Python Expert & Data Science Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!See why our courses are among the TOP-RATED on :"Some of the BEST courses I’ve ever taken. I’ve studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I’ve seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I’m running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on !" Jonah M.

Who this course is for:
Data scientists who want to learn how to build and interpret unsupervised learning models in Python, Analysts or BI experts looking to learn about unsupervised learning or transition into a data science role, Anyone interested in learning one of the most popular open source programming languages in the world

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Free Download Python Coding Practice with AI – The Coding5s Method
Published 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 47m | Size: 797.91 MB
Practice Python by debugging broken code, completing missing logic, refactoring messy scripts and extending code.

What you’ll learn
Master Python through an active training system, instead of just passively watching videos.
Leverage AI tools (ChatGPT/Gemini) as your personal Tech Lead to accelerate your learning curve.
Develop 5 critical coding skills: Active Practice, Debugging, Logic Completion, Refactoring, and Feature Extension.
Move from watching code to confidently writing your own Python programs through hands-on practice.
Requirements
No prior programming experience needed. You will learn everything from scratch using our structured AI-powered method.
A computer (Windows, Mac, or Linux) and a free account on ChatGPT or Gemini.
A strong desire to get your hands dirty with real code through active practice.
Description
Watching tutorials can be a great way to start learning programming. But the real breakthrough happens when you begin actively working with code. This course helps you make that transition using the Coding5s practice system.
Python Coding Practice with AI – The Coding5s Method is not a traditional programming course. It is a training simulator designed to turn you from a spectator into a developer from day one.
Throughout the course, you will learn Python from beginner to advanced, focusing on the core language and practical scripting skills used in real programming environments.
Instead of relying only on passive explanations, you will actively work with Python code while learning topics such as variables, data types, control flow, functions, collections, and practical scripting techniques.
The goal is not just to understand Python concepts, but to develop real coding ability by interacting with code every day.
The Coding5s Method
I have designed a unique 5-stage system that transforms how you interact with Artificial Intelligence to learn programming
• Stage 1 – Practice
Build muscle memory by writing real syntax and understanding core Python concepts.
• Stage 2 – Debug
Develop a "clinical eye" by finding and fixing bugs in broken code.
• Stage 3 – Complete
Train your logic by filling in the gaps of unfinished programs.
• Stage 4 – Refactor
Learn to write cleaner and more efficient code by improving programs that already work.
• Stage 5 – Extend
Simulate real development work by adding new features to existing programs.
Why this course is different
• The Coding5s Training File
You get an exclusive, ready-to-work resource (Excel / Google Sheets) containing the full learning path to master Python, containing all the AI prompts ready to copy and paste.
• Zero Friction Learning
No more wondering "what should I practice today?" The system tells you exactly what to do next.
• Hybrid Learning
Short, focused explanations followed immediately by intensive, AI-guided practice.
• Real-World Focus
Forget boring, abstract examples. Train with coding challenges that simulate real development tasks.
Learning Python becomes much easier when you practice with the right system. The Coding5s method is designed to help you actively work with code and develop real programming skills step by step.
If you’re ready to move from watching code to actually writing, debugging, and improving Python programs, I’ll see you inside the course.
Who this course is for
Absolute beginners who want to learn Python and gain real coding confidence without wasting months in the process.
Tech-curious individuals looking to use AI professionally to supercharge their learning and career.
Students ready to move from watching tutorials to actively writing their own code.

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Free Download Python Beginner Bootcamp 2026 Learn Python with ChatGPT
Published 3/2026
Created by Being Commerce
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 23 Lectures ( 14h 40m ) | Size: 9.54 GB

Python + ChatGPT = Unstoppable Beginner Bootcamp: Write Code, Fix Errors, and Learn Fast with ChatGPT!
What you’ll learn
✓ Python programming from scratch
✓ How to set up and configure Python and Visual Studio Code
✓ Variables, data types, strings, lists, tuples, and dictionaries
✓ Loops, conditions, and control structures
✓ Input, output, and data conversion
✓ Math operators, logic, and precedence
✓ Functions, decorators, generators, and lambda expressions
✓ Exception handling and file operations
✓ Object-Oriented Programming: class, object, self, constructors
✓ Inheritance, polymorphism, abstraction, encapsulation
✓ How to debug and build faster using ChatGPT
Requirements
● No prior coding experience is required
● A computer (Windows, macOS, or Linux)
● Internet connection
● Curiosity and willingness to learn with AI guidance
Description
Learning Python has never been easier-or smarter.
Welcome to the Python Beginner Bootcamp: Learn Python with ChatGPT, where total beginners can learn Python step-by-step with the help of AI. Whether you’ve never written a single line of code or you’ve struggled to stay motivated while learning, this course will change the way you learn programming forever.
Why? Because this isn’t just a Python course. This is a smart learning system that fuses traditional coding with the power of ChatGPT-your personal tutor, assistant, debugger, and productivity booster.
In this course, you won’t just learn Python. You’ll
• Understand the real difference between an interpreter and a compiler.
• Discover how to install and configure your environment like a pro.
• Learn about variables, lists, tuples, strings, loops, conditions, functions, and more-with real examples and practice.
• Master key mathematical operators, logic, and conversions.
• Dive into complete OOP (Object-Oriented Programming) with Python-from basic concepts like classes and objects to advanced structures like inheritance, encapsulation, polymorphism, and abstraction.
• Leverage ChatGPT in every step-ask it questions, debug with it, and even solve assignments together.
And yes, we included everything-from data types to exception handling to decorators and generators. No fluff. Just the fundamentals and the future-all in one course.
What Makes This Course Different?
Most Python courses are either boring or overwhelming. They drop you into dry syntax with no support. This bootcamp is different.
You’re not alone. You’ve got ChatGPT on your side-to guide you, explain errors, generate code examples, test your logic, and help you build confidence faster than ever before.
With over 50 detailed lectures and more than 11 hours of content, you’ll go from clueless to confident. And if you’ve ever found it hard to stay consistent, don’t worry-each concept is broken into short, sharp, engaging lessons you can actually finish.
By the end, you’ll be able to
• Build real projects using Python
• Debug your code confidently
• Use AI as a coding companion
• Grasp the complete flow of Python-from basic logic to advanced object-oriented architecture
But here’s the truth
If you delay learning Python today, you’re not just postponing a new skill-you’re risking being left behind.
AI is rewriting the rules of coding and problem-solving. Those who understand how to code + use AI will lead. Those who don’t. will struggle to keep up.
Don’t waste years Googling errors and hopping between tutorials. Learn it all in one place, from scratch, the smart way.
Who this course is for
■ Absolute beginners who want to learn Python quickly
■ Students and freshers preparing for tech careers
■ Professionals switching to tech or automation roles
■ Entrepreneurs who want to automate tasks with Python
■ Anyone curious about combining AI with programming
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/python-beginner-bootcamp-2026-learn-python-with-chatgpt

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Free Download Python Astronomical Data Analysis & Visualization
Published 4/2026
Created by DESI ASTRO
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 6 Lectures ( 33m ) | Size: 407 MB

Astronomical Data Analysis & Visualization
What you’ll learn
✓ Installing Python Library
✓ ing FITS Astronomical Data: Image/Spectra/Data Cube/Light Curve
✓ Learn how to read and visualize observational data from telescope : FITS Image/Spectra/Data Cube/Light Curve
✓ Learn how to manipulate and analyse: FITS Image/Spectra/Data Cube/Light Curve
Requirements
● Basic Python Coding such as: Numpy ,Matplotlib and Astropy
Description
This course on astronomical observational data visualization provides a comprehensive dive into the multidimensional world of spectroscopic image data cubes, the gold standard for modern observational astronomy. While a standard digital photograph captures two spatial dimensions (x, y), astronomical instruments like Integral Field Units (IFUs) capture a third dimension: wavelength. Participants will learn to navigate and manipulate FITS (Flexible Image Transport System) files, the universal data format in astronomy. We will deconstruct the "cube" architecture, where every spatial pixel (spaxel) contains a full spectrum, allowing us to map chemical compositions, temperatures, and velocities across celestial objects. Key Learning Objectives
• Data Structure: Master the coordinate systems (WCS) that link pixel indices to Right Ascension, Declination, and Frequency/Wavelength.
• Slicing & Dicing: Techniques for collapsing cubes into 2D intensity maps or extracting 1D spectra from specific regions of interest.
• Visualization Tools: Hands-on experience with Python libraries (SpectralCube, Astropy) and software like DS9 or Glue to render 3D volumes.
• Kinematic Analysis: Using the Doppler shift within the cube to visualize the internal rotation of galaxies or the expansion of nebulae.
By the end of this course, you will transform raw, high-dimensional datasets into intuitive, scientifically robust visualizations that reveal the hidden physics of the universe.
Who this course is for
■ Beginners course for undergraduate and graduate students
Homepage
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https://www.udemy.com/course/python-astronomical-data-analysis-visualization

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