Udemy - Python for Effect Apache Airflow, Visualize & Analyze Data (1.2025)

磁力链接/BT种子名称

Udemy - Python for Effect Apache Airflow, Visualize & Analyze Data (1.2025)

磁力链接/BT种子简介

种子哈希：94c66522ccbeb042c95c02a4968e158634b20fef
文件大小： 5.93G
已经下载：226次
下载速度：极快
收录时间：2025-07-29
最近下载：2025-10-12

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磁力链接

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文件列表

  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - Docker The Foundation for Seamless Workflow Integration Part 2.mp4 1.2 GB
  • 5 - Mastering Big Data Tools and Workflow Automation/16 - Harnessing the Power of Big Data with Apache Spark.mp4 745.3 MB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - The Art of Statistical Visualization with Seaborn.mp4 737.6 MB
  • 5 - Mastering Big Data Tools and Workflow Automation/17 - Docker The Foundation for Seamless Workflow Integration Part 1.mp4 660.7 MB
  • 3 - Mastering Data Manipulation with Python Libraries/11 - NumPy The Engine of Numerical Computing.mp4 349.0 MB
  • 2 - Python Fundamentals/8 - Error Handling and Debugging Writing Resilient Code.mp4 319.6 MB
  • 4 - Transforming Data into Insightful Visual Narratives/13 - Foundations of Visualization with Matplotlib.mp4 314.8 MB
  • 2 - Python Fundamentals/4 - Core Python Concepts Building Your Programming Foundation.mp4 304.9 MB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - Bridging Exploratory Analysis and Workflow Automation.mp4 300.6 MB
  • 2 - Python Fundamentals/6 - Python Data Structures.mp4 292.6 MB
  • 3 - Mastering Data Manipulation with Python Libraries/10 - Harnessing the Power of Pandas.mp4 278.9 MB
  • 7 - Community and Continued Learning/23 - Community and Continued Learning.mp4 246.3 MB
  • 2 - Python Fundamentals/5 - Python Control Flow Mechanisms.mp4 146.3 MB
  • 2 - Python Fundamentals/7 - Coding Challenge Solution.mp4 97.6 MB
  • 1 - Course Introduction/1 - Introduction.mp4 77.9 MB
  • 2 - Python Fundamentals/3 - Setting Up Your Environment Your Gateway to Productivity.mp4 71.2 MB
  • 6 - Mastering Workflow Orchestration with Python and Docker/18 - Introduction.mp4 57.1 MB
  • 2 - Python Fundamentals/2 - Introduction.mp4 56.1 MB
  • 3 - Mastering Data Manipulation with Python Libraries/9 - Introduction.mp4 55.0 MB
  • 5 - Mastering Big Data Tools and Workflow Automation/15 - Introduction.mp4 49.9 MB
  • 4 - Transforming Data into Insightful Visual Narratives/12 - Introduction.mp4 47.1 MB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Visualizing-Distributions-with-Violin-Plots.ipynb 316.9 kB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Customizing-the-Diagonal-with-KDE-Plots.ipynb 279.1 kB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Exploring-Relationships-with-Pair-Plots.ipynb 246.0 kB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Simple-Seaborn-Plot-with-Built-in-Datasets.ipynb 72.5 kB
  • 5 - Mastering Big Data Tools and Workflow Automation/16 - spark-setup.ipynb 68.9 kB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Faceted-Visualizations-with-FacetGrid.ipynb 61.7 kB
  • 4 - Transforming Data into Insightful Visual Narratives/13 - Creating-Simple-Line-Plot.ipynb 53.7 kB
  • 4 - Transforming Data into Insightful Visual Narratives/14 - Customizing-Plot-Styles-and-Themes.ipynb 47.4 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - Transcript-subtitles-The-key-features-of-a-real-world-financial-pipeline-DAG-en-US.txt 28.6 kB
  • 4 - Transforming Data into Insightful Visual Narratives/13 - Creating-a-Bar-Plot.ipynb 26.4 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - new-data-Analysis.ipynb 17.5 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - serial-to-parallel-fetch-assignment-dag.py 14.2 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - analyze-data.ipynb 12.9 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/21 - analyze-data.ipynb 12.9 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - data-pipeline-with-parallel-enrichment-solution.py 12.3 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - fetch-data-chunk.ipynb 9.0 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - add-tickers-by-sector.ipynb 8.3 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - fetch-data-with-financials.ipynb 7.0 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - generate-report.ipynb 6.5 kB
  • 2 - Python Fundamentals/6 - Dictionaries-Solution.ipynb 4.5 kB
  • 2 - Python Fundamentals/7 - Dictionaries-Solution.ipynb 4.5 kB
  • 3 - Mastering Data Manipulation with Python Libraries/10 - Advanced-Pandas-Techniques.ipynb 4.2 kB
  • 5 - Mastering Big Data Tools and Workflow Automation/17 - extract-data.ipynb 4.0 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - extract-data.ipynb 4.0 kB
  • 3 - Mastering Data Manipulation with Python Libraries/10 - Combining-NumPy-with-Pandas.ipynb 3.5 kB
  • 3 - Mastering Data Manipulation with Python Libraries/11 - Combining-NumPy-with-Pandas.ipynb 3.5 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - docker-compose.yml 3.4 kB
  • 5 - Mastering Big Data Tools and Workflow Automation/17 - docker-compose.yml 3.3 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - docker-compose.yml 3.3 kB
  • 3 - Mastering Data Manipulation with Python Libraries/11 - Linear-Algebra-with-NumPy.ipynb 3.2 kB
  • 5 - Mastering Big Data Tools and Workflow Automation/17 - transform-data.ipynb 3.1 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - transform-data.ipynb 3.1 kB
  • 5 - Mastering Big Data Tools and Workflow Automation/17 - financial-pipeline.py 2.5 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - financial-pipeline.py 2.5 kB
  • 3 - Mastering Data Manipulation with Python Libraries/10 - Slicing-and-Boolean-Indexing.ipynb 1.9 kB
  • 2 - Python Fundamentals/6 - List.ipynb 1.8 kB
  • 3 - Mastering Data Manipulation with Python Libraries/11 - Mastering-Advanced-NumPy-Techniques.ipynb 1.8 kB
  • 2 - Python Fundamentals/6 - Tuples.ipynb 1.7 kB
  • 2 - Python Fundamentals/8 - ErrorHandling.ipynb 1.2 kB
  • 6 - Mastering Workflow Orchestration with Python and Docker/19 - requirements.txt 101 Bytes
  • 6 - Mastering Workflow Orchestration with Python and Docker/20 - requirements.txt 45 Bytes

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