- 【影视】 Cluster Analysis and Unsupervised Machine Learning in Python
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Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB
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Rewolwer Python 357 (1976) DVDRip XviD AC3 lekpl.avi 1.6 GB
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- 【影视】 Natural Language Processing - Machine Learning Models in Python
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收录时间:2024-07-23
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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.1 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.0 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 21.4 MB
Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.8 MB
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- 【影视】 Создаем корпоративного Telegram бота на Python с ChatGPT внутри [Codemoon]
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文档个数:17
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2.2 Разработка пользовательской части.Создание Базы Данных. SQL.mp4 1.0 GB
6. Модернизация функции добавления задач. – Stepik.mp4 110.6 MB
7. Модернизация функции добавления задач. – Stepik.mp4 110.6 MB
4. Разработка админской части.Создание функции добавления задач. – Stepik.mp4 106.1 MB
3.2.mp4 97.6 MB
11. Размещение бота на сервере. Putty и FileZilla.Работа с BotFather – Stepik.mp4 92.8 MB
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10. Подключение CHATGPT в бота. – Stepik.mp4 79.6 MB
2. Что такое асинхронность. Создание проекта и подключение бота. – Stepik.mp4 78.3 MB
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3.Проверка пользователя на существование. Работа с Базой Данных. – Stepik.mp4 58.3 MB
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2.1.pdf 120.3 kB
8.1.pdf 119.5 kB
3.1.pdf 114.1 kB
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- 【影视】 [ FreeCryptoLearn.com ] Udemy - Deep Learning for algorithmic trading using Python
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~Get Your Files Here !/4. Import and manage the data/2. Import & manage data from Metatrader 5.mp4 109.5 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/2. Quick recap of the DNN theory.mp4 90.0 MB
~Get Your Files Here !/3. Python for data science/4. Numpy Indexing Slicing transformation.mp4 89.6 MB
~Get Your Files Here !/2. Python basics/3. Type of object String.mp4 87.6 MB
~Get Your Files Here !/3. Python for data science/6. Pandas Cleaning and selection data.mp4 85.5 MB
~Get Your Files Here !/7. Vectorized backtesting/3. Beta ratio computation (CAPM metric).mp4 76.2 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/6. Create a DNN using Tensorflow 2.0.mp4 72.1 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/5. How to create a RNN using TensorFlow 2.0.mp4 70.4 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/7. RNN prediction to create a trading strategy.mp4 63.6 MB
~Get Your Files Here !/3. Python for data science/2. Numpy Array.mp4 63.0 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/7. Use the DNN predictions to create a trading strategy.mp4 62.2 MB
~Get Your Files Here !/7. Vectorized backtesting/2. Sortino ratio computation.mp4 60.3 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/11. Bagging method using the different ANNs.mp4 60.3 MB
~Get Your Files Here !/3. Python for data science/3. Numpy Random.mp4 56.8 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/3. Recap from the DNN chapter.mp4 54.1 MB
~Get Your Files Here !/2. Python basics/6. Type of object Tuple and list.mp4 52.3 MB
~Get Your Files Here !/2. Python basics/7. Type of object Dictionary.mp4 49.0 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/6. Get current positions.mp4 46.6 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/5. Send orders on the market using Python.mp4 46.6 MB
~Get Your Files Here !/4. Import and manage the data/3. Import & manage data from Yahoo Finance.mp4 46.0 MB
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- 【影视】 Natural Language Processing - Deep Learning Models in Python
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收录时间:2024-07-20
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Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 57.2 MB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 54.1 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 42.5 MB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 39.5 MB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 38.8 MB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 38.8 MB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 35.9 MB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 35.5 MB
Chapter 3 The Neuron/002. Fitting a Line.mp4 34.0 MB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 28.8 MB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 25.6 MB
Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp4 25.3 MB
Chapter 3 The Neuron/006. How does a model learn.mp4 23.6 MB
Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 23.5 MB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp4 21.5 MB
Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
Chapter 3 The Neuron/005. The Neuron.mp4 21.1 MB
Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 21.0 MB
Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).mp4 20.7 MB
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Modulo 02 - Aprendendo na Prática/31.mp4 104.4 MB
Modulo 5 - Desenvolvimento Avançado com Flask/93.mp4 91.2 MB
Modulo 4 - Desenvolvimento de APIs com Flask/76.mp4 91.0 MB
Modulo 5 - Desenvolvimento Avançado com Flask/96.mp4 87.0 MB
Modulo 3 - Programação Orientada a Objeto/47.mp4 85.5 MB
Modulo 5 - Desenvolvimento Avançado com Flask/86.mp4 84.4 MB
Modulo 5 - Desenvolvimento Avançado com Flask/97.mp4 81.6 MB
Modulo 5 - Desenvolvimento Avançado com Flask/98.mp4 81.0 MB
Modulo 02 - Aprendendo na Prática/16.mp4 79.1 MB
Modulo 02 - Aprendendo na Prática/14.mp4 78.1 MB
Modulo 4 - Desenvolvimento de APIs com Flask/65.mp4 78.1 MB
Modulo 01 - Introduçao ao Python/06.mp4 77.1 MB
Modulo 4 - Desenvolvimento de APIs com Flask/64.mp4 74.2 MB
Modulo 5 - Desenvolvimento Avançado com Flask/92.mp4 72.1 MB
Modulo 02 - Aprendendo na Prática/23.mp4 71.6 MB
Modulo 02 - Aprendendo na Prática/19.mp4 71.4 MB
Modulo 4 - Desenvolvimento de APIs com Flask/58.mp4 70.7 MB
Modulo 4 - Desenvolvimento de APIs com Flask/68.mp4 69.3 MB
Modulo 5 - Desenvolvimento Avançado com Flask/87.mp4 69.1 MB
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4 Other charts/12. Ribbon Chart.mp4 65.2 MB
4 Other charts/16. Map chart.mp4 62.6 MB
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4 Other charts/13. Table and Matrix.mp4 48.2 MB
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4 Other charts/14. Drill Down Table and Matrix.mp4 38.7 MB
3 Advanced Python charts/10. Boxplot Part-2.mp4 38.5 MB
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2 Data Visualization with Python/06. More on Violin chart.mp4 36.3 MB
2 Data Visualization with Python/05. Violin chart with seaborn.mp4 33.4 MB
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3 Advanced Python charts/09. Boxplot Part-1.mp4 29.1 MB
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- 【影视】 Natural Language Processing - Embeddings and Text Preprocessing in Python
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Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 61.5 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 54.4 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 48.9 MB
Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 39.9 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 36.8 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.mp4 35.6 MB
Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 32.1 MB
Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 31.7 MB
Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 31.7 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
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Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.mp4 28.7 MB
Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.mp4 26.0 MB
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- 【影视】 Data Science - Time Series Forecasting with Facebook Prophet in Python
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Chapter 3 Facebook Prophet/009. (The Dangers of) Prophet for Stock Price Prediction.mp4 66.2 MB
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Chapter 3 Facebook Prophet/005. Prophet in Code Holidays and Exogenous Regressors.mp4 49.3 MB
Chapter 3 Facebook Prophet/008. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4 48.6 MB
Chapter 3 Facebook Prophet/003. Prophet in Code Data Preparation.mp4 41.0 MB
Chapter 3 Facebook Prophet/004. Prophet in Code Fit, Forecast, Plot.mp4 39.8 MB
Chapter 2 Time Series Basics/002. Forecasting Metrics.mp4 35.2 MB
Chapter 2 Time Series Basics/003. The Naive Forecast and the Importance of Baselines.mp4 35.0 MB
Chapter 3 Facebook Prophet/001. How Does Prophet Work.mp4 34.1 MB
Chapter 3 Facebook Prophet/006. Prophet in Code Cross-Validation.mp4 33.2 MB
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Chapter 3 Facebook Prophet/007. Prophet in Code Changepoint Detection.mp4 29.8 MB
Chapter 2 Time Series Basics/001. Time Series Basics Section Introduction.mp4 23.9 MB
Chapter 2 Time Series Basics/005. Suggestion Box.mp4 18.6 MB
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Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 84.9 MB
Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 55.8 MB
Chapter 6 Machine Learning Basics/002. What Is Classification.mp4 52.2 MB
Chapter 2 NumPy/007. Generating Data.mp4 50.1 MB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 45.3 MB
Chapter 2 NumPy/005. Matrices.mp4 44.8 MB
Chapter 6 Machine Learning Basics/005. Regression in Code.mp4 43.5 MB
Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4 39.9 MB
Chapter 2 NumPy/002. Arrays Versus Lists.mp4 39.8 MB
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Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 35.2 MB
Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4 32.7 MB
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Chapter 5 Packet Sniffing and Analysis/005. TCP Segments.mp4 132.8 MB
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Chapter 1 Introduction to Python for Security Testing/002. Create a Socket Connection.mp4 117.4 MB
Chapter 5 Packet Sniffing and Analysis/002. Packet Capture Output.mp4 111.1 MB
Chapter 7 Comprehensive Project/001. Forwarding Packet Sniffer.mp4 105.1 MB
Chapter 4 SSH Brute Force Attacks/001. Brute Forcing an SSH Connection.mp4 100.5 MB
Chapter 6 Building a TCP Server/001. Creating a TCP Server.mp4 100.4 MB
Chapter 5 Packet Sniffing and Analysis/001. Packet Sniffing with Python.mp4 94.4 MB
Chapter 5 Packet Sniffing and Analysis/003. Ethernet Frames from RAW Packets.mp4 93.5 MB
Chapter 5 Packet Sniffing and Analysis/004. IP Headers from Ethernet Frames.mp4 89.5 MB
Chapter 5 Packet Sniffing and Analysis/006. UDP Segments.mp4 81.0 MB
Chapter 1 Introduction to Python for Security Testing/001. Overview.mp4 14.4 MB
Chapter 4 SSH Brute Force Attacks/002. Brute Forcing an SSH Connection Part 2.en.srt 54.9 kB
Chapter 3 Banner Grabbing and Enumeration/001. Banner Reading from Open Ports.en.srt 52.4 kB
Chapter 2 Port Scanning Techniques/001. Create a Port Scanner.en.srt 45.7 kB
Chapter 5 Packet Sniffing and Analysis/005. TCP Segments.en.srt 43.0 kB
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MPFC S01E05.mkv 1.1 GB
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收录时间:2024-07-11
文档个数:83
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Rutles DGA DV.mov 9.6 GB
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收录时间:2024-07-11
文档个数:77
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3. Python Game Development - Advanced/1. Introduction to Project.mp4 120.8 MB
2. Python Game Development - Intermediate/2. Input Device.mp4 86.5 MB
2. Python Game Development - Intermediate/10. Font for Pygame.mp4 77.6 MB
5. Python Game Development Case Study - Flippy Flip Game/5. Set up Pygame Program.mp4 74.0 MB
1. Python Game Development - Beginners/2. Installation of python anaconda and pygame.mp4 72.0 MB
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1. Python Game Development - Beginners/3. Creation of new file in Jupiter notebook.mp4 62.6 MB
4. Python Game Development Case Study - Snake Game/4. Movement to Snake Using Event Keys and Type.mp4 62.5 MB
4. Python Game Development Case Study - Snake Game/10. Boundaries Setting.mp4 60.0 MB
5. Python Game Development Case Study - Flippy Flip Game/11. Game Closure.mp4 56.2 MB
3. Python Game Development - Advanced/2. Sprite Code Part 1.mp4 56.1 MB
5. Python Game Development Case Study - Flippy Flip Game/18. Create GUI for Game Part 3.mp4 55.7 MB
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07 - Dictionaries/001 The Dictionary Data Type.mp4 369.1 MB
11 - Files/001 Filenames and AbsoluteRelative File Paths.mp4 305.2 MB
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10 - Regular Expressions/007 Regex Example Program A Phone and Email Scraper.mp4 288.6 MB
06 - Lists/004 Similarities Between Lists and Strings.mp4 254.8 MB
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10 - Regular Expressions/005 Regex Dot-Star and the CaretDollar Characters.mp4 244.7 MB
10 - Regular Expressions/004 Regex Character Classes and the findall() Method.mp4 242.5 MB
05 - Writing a Complete Program Guess the Number/001 Writing a Guess the Number Program.mp4 241.1 MB
09 - Running Programs from the Command Line/001 Launching Python Programs from Outside IDLE.mp4 231.7 MB
12 - Debugging/003 Using the Debugger.mp4 228.4 MB
06 - Lists/003 List Methods.mp4 228.1 MB
10 - Regular Expressions/001 Regular Expression Basics.mp4 222.7 MB
14 - Excel, Word, and PDF Documents/003 Reading and Editing PDFs.mp4 220.2 MB
12 - Debugging/001 The raise and assert Statements.mp4 218.9 MB
08 - More About Strings/002 String Methods.mp4 217.3 MB
14 - Excel, Word, and PDF Documents/004 Reading and Editing Word Documents.mp4 203.6 MB
03 - Functions/002 Writing Your Own Functions.mp4 198.2 MB
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收录时间:2024-07-10
文档个数:396
文档大小:8.5 GB
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01 - Introduction/011 The Terminal & Linux Commands.mp4 158.7 MB
09 - Writing a Code Injector/010 BeEF Overview & Basic Hook Method.mp4 155.6 MB
10 - Bypassing HTTPS/001 How to Bypass HTTPS.mp4 152.6 MB
16 - Website Web Application Hacking/001 Introduction & Teaser.mp4 120.3 MB
01 - Introduction/003 Introduction to Python Programming & Ethical Hacking.mp4 114.4 MB
14 - Writing Malware - Backdoors/021 Using the Backdoor to Hack Windows, Linux & OS X.mp4 112.0 MB
15 - Writing Malware - Packaging/007 Running Programs on Startup.mp4 102.4 MB
19 - Writing a Vulnerability Scanner/004 Extracting HTML Attributes.mp4 101.8 MB
14 - Writing Malware - Backdoors/010 Serialisation - Theory.mp4 100.9 MB
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06 - Writing a Packet Sniffer/004 Analysing Sniffed Packets & Extracting Fields From Layers.mp4 95.4 MB
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08 - Writing a File Interceptor/005 Modifying HTTP Responses on The Fly.mp4 92.8 MB
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17 - Website Hacking - Writing a Crawler/005 Extracting Useful Data From Response.mp4 88.8 MB
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