| 1. Experiencing with Udemy's Python Interpreter.mp4 | 7.5 MB | ||
| 1. Experiencing with Udemy's Python Interpreter.srt | 2.5 KB | ||
| 1. Functions in Python.mp4 | 15 MB | ||
| 1. Functions in Python.srt | 5.2 KB | ||
| 1. Introduction.mp4 | 33.8 MB | ||
| 1. Introduction.srt | 5.3 KB | ||
| 1. NumPy.mp4 | 43.2 MB | ||
| 1. NumPy.srt | 10.7 KB | ||
| 1. Understanding the Python List.mp4 | 17 MB | ||
| 1. Understanding the Python List.srt | 4.1 KB | ||
| 10. Function Package.mp4 | 64.3 MB | ||
| 10. Function Package.srt | 17.1 KB | ||
| 10. Manipulating List.mp4 | 57 MB | ||
| 10. Manipulating List.srt | 12.3 KB | ||
| 10. Other Variable Types.html | 204.8 B | ||
| 10. Subsetting NumPy Arrays.html | 204.8 B | ||
| 11. Importing Package.html | 204.8 B | ||
| 11. NumPy Statistics.mp4 | 46.9 MB | ||
| 11. NumPy Statistics.srt | 9.1 KB | ||
| 11. Replacing List Elements.html | 204.8 B | ||
| 11. String Concatenation.html | 204.8 B | ||
| 12. Conversion.html | 204.8 B | ||
| 12. Extending List Elements.html | 204.8 B | ||
| 12. Feel what data are saying.html | 204.8 B | ||
| 12. Selective Import.html | 204.8 B | ||
| 13. Continuing with the data story.html | 204.8 B | ||
| 13. Deleting List Elements.html | 204.8 B | ||
| 13. Different ways of importing.html | 204.8 B | ||
| 14. Final with Soccer story.html | 204.8 B | ||
| 15. A final note.mp4 | 13.2 MB | ||
| 15. A final note.srt | 921.6 B | ||
| 2. Different Types of Python List - in Code.mp4 | 71.2 MB | ||
| 2. Different Types of Python List - in Code.srt | 13.2 KB | ||
| 2. Examples of Python Functions.mp4 | 44.8 MB | ||
| 2. Examples of Python Functions.srt | 11.8 KB | ||
| 2. Getting started with NumPy.html | 204.8 B | ||
| 2. The Python Interface.html | 204.8 B | ||
| 2. The right development environment.mp4 | 51.1 MB | ||
| 2. The right development environment.srt | 6.1 KB | ||
| 3. A little we already know.html | 204.8 B | ||
| 3. Examples on all there are to Python Lists.mp4 | 177.6 MB | ||
| 3. Examples on all there are to Python Lists.srt | 32.4 KB | ||
| 3. NumPy Calculation.html | 204.8 B | ||
| 3. Python as a Calculator.mp4 | 22.9 MB | ||
| 3. Python as a Calculator.srt | 4.6 KB | ||
| 4. Create LIST.html | 204.8 B | ||
| 4. Help(Range).html | 204.8 B | ||
| 4. More NumPy Calculations.html | 204.8 B | ||
| 4. Python Mathematics warmup exercise.html | 204.8 B | ||
| 5. Boolean NumPy Array.html | 204.8 B | ||
| 5. List of Lists.html | 204.8 B | ||
| 5. Multiple Arguments.html | 204.8 B | ||
| 5. VS Code Tips Keyboard Shortcut to run Python File.mp4 | 6.3 MB | ||
| 5. VS Code Tips Keyboard Shortcut to run Python File.srt | 1.5 KB | ||
| 6. Methods in Python.mp4 | 59.6 MB | ||
| 6. Methods in Python.srt | 11.9 KB | ||
| 6. NumPy and List - difference.html | 204.8 B | ||
| 6. Sub-setting Python.html | 204.8 B | ||
| 6. Variables and Data Types.mp4 | 25.7 MB | ||
| 6. Variables and Data Types.srt | 7.7 KB | ||
| 7. Calculation from Subset.html | 204.8 B | ||
| 7. String Methods.html | 204.8 B | ||
| 7. Subsetting NumPy arrays.html | 204.8 B | ||
| 7. Variable Assignment.html | 204.8 B | ||
| 8. 2D NumPy arrays.mp4 | 32.7 MB | ||
| 8. 2D NumPy arrays.srt | 11.1 KB | ||
| 8. Calculate the coumpound interest.html | 204.8 B | ||
| 8. List Methods.html | 204.8 B | ||
| 8. Slicing and Dicing.html | 204.8 B | ||
| 9. 2D NumPy Array.html | 204.8 B | ||
| 9. Calculations with variable.html | 204.8 B | ||
| 9. List Method 2.html | 204.8 B | ||
| 9. Subsetting List of Lists - Quiz.html | 204.8 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 75 total files | |||
Introductory PYTHON for Data Science with Exercises and Quiz
https://DevCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 790 MB | Duration: 2h 26m
Learn about the Data Science and level up your Python Skills. Practice with 30+ coding exercises and quizzes
What you'll learn
Start with Basics of Python like Lists and Function and move up to Numpy
Coding Exercises for Python
Learn the best practices of using Python for Data Science
Complete Numpy Basics
Practice in coding exercises and participate in quizzes
Grasp on how to summarize large data using NumPy
Statistical Analysis using NumPy for Data Analysis
Summarizing using Numpy on large dataset
Description
The new gold is data. This statement nstrates how data capture, storage, and analysis are at the heart of every modern IT system. It doesn't matter if you're making a business choice, forecasting the weather, investigating protein structures in biology, or creating a marketing strategy. All of these scenarios call for a multidisciplinary approach that includes the use of mathematical models, statistics, graphs, databases, and, of course, the commercial or scientific rationale that underpins the data analysis. As a result, we need a programming language that can handle all of these different data science requirements. Python stands out as one of these languages since it comes with a plethora of libraries and built-in capabilities that make it simple to meet the demands of data research.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 817.9 MB | freecoursewb | 6 months | 2 | 23 | |
| 908.4 MB | freecoursewb | 2 years | 4 | 0 | |
| 1.2 GB | freecoursewb | 3 years | 0 | 0 | |
| 3.2 GB | freecoursewb | 3 years | 2 | 0 | |
| 3.8 GB | freecoursewb | 4 years | 1 | 0 |
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