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[ FreeCourseWeb.com ] Python 101 - Basics for Beginners.zip 583.4 MB
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[ DevCourseWeb.com ] Udemy - Robot Framework Test Concepts (Python, Excel, and Selenium).zip 1.4 GB
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11 - Object Inheritance.mp4 120.3 MB
10 - Basic Object-Oriented Programming.mp4 111.4 MB
06 - Loops.mp4 101.1 MB
08 - Functions.mp4 98.4 MB
07 - Collections.mp4 90.8 MB
04 - Input and Output.mp4 82.7 MB
09 - Error Handling.mp4 77.0 MB
03 - Python Variables.mp4 76.3 MB
05 - If...Then...Else.mp4 75.5 MB
12 - Installing PyQt (On Mac OS X).mp4 67.3 MB
22 - Connecting to SQL Databases.mp4 65.1 MB
02 - Python Basics.mp4 63.9 MB
14 - PyQt Basics - Using Widgets.mp4 62.0 MB
21 - Deploying Python on GCE.mp4 61.9 MB
15 - PyQt Advanced - Working with Layouts.mp4 61.5 MB
13 - PyQt Basics - Getting Started with PyQt.mp4 60.4 MB
19 - Setting up a Simple HTTP Server.mp4 58.8 MB
16 - PyQt Advanced - Handling Events.mp4 55.1 MB
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~Get Your Files Here !/04. Making Your Application Production-ready/19. Adding Logging to the Product Service.mp4 29.6 MB
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~Get Your Files Here !/02. Getting Started with Python and Docker/06. Building a Flask Application-Code Execution.mp4 8.5 MB
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3. String Problems/9. Capitalize first letter of each word logic.mp4 64.7 MB
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3. String Problems/10. Capitalize first letter of each word implementation.mp4 56.2 MB
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2. Sequence and Series/8. Fibonacci Series implementation.mp4 53.0 MB
1. Basic Logical Problems/1. Prime number checking logic.mp4 53.0 MB
3. String Problems/8. First2, last2 characters and upperCase ,LowerCase problem.mp4 48.0 MB
3. String Problems/2. Implementation of String Problem1.mp4 43.5 MB
1. Basic Logical Problems/9. Armstrong Number in range.mp4 37.1 MB
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1. Basic Logical Problems/3. Prime number in range logic.mp4 34.8 MB
1. Basic Logical Problems/4. Prime number in range implementation.mp4 34.1 MB
3. String Problems/6. Program to remove the nth index value implementation.mp4 33.0 MB
1. Basic Logical Problems/8. Armstrong Number implementation.mp4 32.7 MB
1. Basic Logical Problems/14. Palindrome Number checking logic.mp4 32.0 MB
1. Basic Logical Problems/12. Leap Year checking logic.mp4 29.5 MB
3. String Problems/3. Remove the characters of odd index values in a string.mp4 29.0 MB
4. Lists/3. Add 5 with all odd values and 10 with all even values.mp4 28.6 MB
1. Basic Logical Problems/5. Sum of digits of a number logic.mp4 28.6 MB
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10. Object Oriented Programming (OOP)/6. PROJECT 10 - Make all the coins!! - Part 2.mp4 60.6 MB
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8. Going Loopy - Loops In Python/8. PROJECT 7 - Pig Latin Translator - Part 2.mp4 33.7 MB
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10. Object Oriented Programming (OOP)/4. PROJECT 9 - Make your own Coin! - Part 2.mp4 30.6 MB
9. Getting Funky - Functions in Python/7. Packing & Unpacking using args and kwargs.mp4 30.5 MB
4. The 123s - Numbers in Python/4. PROJECT 1 Crafting a Health Potion - Part 1.mp4 28.6 MB
10. Object Oriented Programming (OOP)/7. PROJECT 11 - Make Your Own Bank!.mp4 28.5 MB
8. Going Loopy - Loops In Python/2. While Loops.mp4 26.8 MB
7. Python Datastructures/6. More ways to add items to lists.mp4 25.9 MB
7. Python Datastructures/8. Dictionaries Part 1 - What are Dictionaries.mp4 25.6 MB
7. Python Datastructures/2. What are Lists.mp4 25.2 MB
5. The ABCs - How to use Strings to handle text in Python/6. PROJECT 2 Hello You! - Part 2 - Collecting Data.mp4 23.6 MB
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6. Logic and Conditional Flow/4. if Statements.mp4 22.6 MB
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Fullstack Flask and Python Bootcamp With Real Life Projects.zip 9.2 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes
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[TutsNode.com] - Python for Data Science and Data Analysis/8. Function and Module in Python/13. Function Practice-Sorting List in Python.mp4 146.2 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/14. Scikit-Learn for Machine Learning/3. Scikit-Learn for SVM and Random Forests.mp4 118.9 MB
[TutsNode.com] - Python for Data Science and Data Analysis/2. Basics of Programming/1. Understanding the Algorithm.mp4 116.4 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/12. Pandas for Data Manipulation/6. Pandas Practice-Using COVID19 Data -Part 1.mp4 99.2 MB
[TutsNode.com] - Python for Data Science and Data Analysis/7. Control Flow in Python/5. Comments and Problem Solving Practice With If.mp4 96.2 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/7. Control Flow in Python/4. Indentations.mp4 78.3 MB
[TutsNode.com] - Python for Data Science and Data Analysis/8. Function and Module in Python/12. Making Modules in Python.mp4 76.9 MB
[TutsNode.com] - Python for Data Science and Data Analysis/9. String in Python/4. String Methods.mp4 74.2 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/5. Variable and Operator/1. Variables.mp4 71.1 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/11. NumPy for Numerical Data Processing/2. NumPy Dimensions.mp4 67.3 MB
[TutsNode.com] - Python for Data Science and Data Analysis/7. Control Flow in Python/10. Loops Practice-Sorting Problem.mp4 66.9 MB
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[TutsNode.com] - Python for Data Science and Data Analysis/8. Function and Module in Python/7. Function Practice-Output Arguments and Return Statement.mp4 64.9 MB
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[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/2. Basics of XPath Expressions/6. Parents and Siblings.mp4 114.1 MB
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[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/5. Real Life Project #2 - Scrape Pokemon Table/3. Store and Prepare the Data.mp4 90.5 MB
[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/2. Basics of XPath Expressions/3. XPath - Syntax.mp4 88.6 MB
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[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/3. Basics of Selenium for Web Scraping/6. ID - Locator.mp4 63.7 MB
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[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/3. Basics of Selenium for Web Scraping/7. Name - Locator.mp4 46.3 MB
[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/5. Real Life Project #2 - Scrape Pokemon Table/4. Cleaning the Data.mp4 43.2 MB
[TutsNode.com] - Web Scraping for Data Science - Python & Selenium - Basics/3. Basics of Selenium for Web Scraping/11. (Optional) - Selenium in Headless Mode.mp4 41.4 MB
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1 Синтаксис Python/Занятие №1.mp4 1.0 GB
3. Pandas/Занятие №3.mp4 389.3 MB
2. Numpy/Занятие №2.mp4 353.0 MB
3. Pandas/Дополнительный вебинар по Python.mp4 332.2 MB
5. Функции и модули/Занятие №5.mp4 307.0 MB
4. Matplotlib и Seaborn/Занятие №4.mp4 303.9 MB
1 Синтаксис Python/Дополнительный вебинар по Python (НС февраль 2020).mp4 291.8 MB
3. Pandas/Python 3 материалы (База вин+тренировочные)/dpo_1-2_winemag-data_first150k_1.csv 49.8 MB
3. Pandas/data.csv 45.6 MB
4. Matplotlib и Seaborn/Занятие 4. Визуализация с помощью Matplotlib и Seaborn.html 6.9 MB
Colaboratory/4. Matplotlib и Seaborn/Занятие 4. Визуализация с помощью Matplotlib и Seaborn.html 6.9 MB
3. Pandas/Занятие 3. Pandas.html 3.2 MB
Colaboratory/3. Pandas/Занятие 3. Pandas.html 3.2 MB
2. Numpy/Занятие 2. Numpy.html 2.5 MB
Colaboratory/2. Numpy/Занятие 2. Numpy.html 2.5 MB
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Colaboratory/5. Функции и модули/Февральский курс. Light. Занятие 5. Модули и функции.html 1.9 MB
1 Синтаксис Python/Занятие 1. Синтаксис Python.html 1.8 MB
Colaboratory/1. Синтаксис Python/Занятие 1. Синтаксис Python.html 1.8 MB
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3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 182.4 MB
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7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 142.5 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 142.4 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 139.2 MB
10. Feature detection/7. Full width at half-maximum.mp4 137.7 MB
10. Feature detection/2. Local maxima and minima.mp4 132.8 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 128.5 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 127.8 MB
5. Filtering/3. FIR filters with firls.mp4 125.7 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 122.5 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4 120.8 MB
11. Variability/5. Entropy.mp4 117.8 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 116.1 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 114.6 MB
10. Feature detection/3. Recover signal from noise amplitude.mp4 109.4 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 105.8 MB
6. Convolution/3. Convolution in MATLAB.mp4 105.6 MB
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Lecture 6: Bisection Search.mp4 368.3 MB
Lecture 2: Strings, Input⧸Output, and Branching.mp4 327.3 MB
Lecture 22: Big Oh and Theta.mp4 319.5 MB
Lecture 4: Loops over Strings, Guess-and-Check, and Binary.mp4 315.0 MB
Lecture 20: Fitness Tracker Object-Oriented Programming Example.mp4 301.3 MB
Lecture 8: Functions as Objects.mp4 285.6 MB
Lecture 14: Dictionaries.mp4 282.5 MB
Lecture 23: Complexity Classes Examples.mp4 277.4 MB
Lecture 18: More Python Class Methods.mp4 277.2 MB
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging.mp4 269.6 MB
Lecture 25: Plotting.mp4 268.3 MB
Lecture 19: Inheritance.mp4 258.0 MB
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Lecture 10: Lists and Mutability.mp4 244.3 MB
Lecture 24: Sorting Algorithms.mp4 228.9 MB
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Lecture 15: Recursion.mp4 185.8 MB
Lecture 13: Exceptions and Assertions.mp4 173.2 MB
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[DesireCourse.Net] Udemy - Python for Finance Investment Fundamentals & Data Analytics.zip 1.5 GB
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3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 182.4 MB
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7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4 147.2 MB
7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 142.5 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 142.4 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 139.2 MB
10. Feature detection/7. Full width at half-maximum.mp4 137.7 MB
10. Feature detection/2. Local maxima and minima.mp4 132.8 MB
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3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 127.8 MB
5. Filtering/3. FIR filters with firls.mp4 125.7 MB
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