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| 10 - Advanced-Pandas-Techniques.ipynb |
4.10KB |
| 10 - Combining-NumPy-with-Pandas.ipynb |
3.38KB |
| 10 - Harnessing the Power of Pandas.mp4 |
265.97MB |
| 10 - Slicing-and-Boolean-Indexing.ipynb |
1.89KB |
| 11 - Combining-NumPy-with-Pandas.ipynb |
3.38KB |
| 11 - Linear-Algebra-with-NumPy.ipynb |
3.14KB |
| 11 - Mastering-Advanced-NumPy-Techniques.ipynb |
1.76KB |
| 11 - NumPy The Engine of Numerical Computing.mp4 |
332.83MB |
| 12 - Introduction.mp4 |
44.88MB |
| 13 - Creating-a-Bar-Plot.ipynb |
25.75KB |
| 13 - Creating-Simple-Line-Plot.ipynb |
52.47KB |
| 13 - Foundations of Visualization with Matplotlib.mp4 |
300.24MB |
| 14 - Customizing-Plot-Styles-and-Themes.ipynb |
46.26KB |
| 14 - Customizing-the-Diagonal-with-KDE-Plots.ipynb |
272.60KB |
| 14 - Exploring-Relationships-with-Pair-Plots.ipynb |
240.22KB |
| 14 - Faceted-Visualizations-with-FacetGrid.ipynb |
60.24KB |
| 14 - Simple-Seaborn-Plot-with-Built-in-Datasets.ipynb |
70.77KB |
| 14 - The Art of Statistical Visualization with Seaborn.mp4 |
703.44MB |
| 14 - Visualizing-Distributions-with-Violin-Plots.ipynb |
309.50KB |
| 15 - Introduction.mp4 |
47.57MB |
| 16 - Harnessing the Power of Big Data with Apache Spark.mp4 |
710.82MB |
| 16 - spark-setup.ipynb |
67.24KB |
| 17 - docker-compose.yml |
3.22KB |
| 17 - Docker The Foundation for Seamless Workflow Integration Part 1.mp4 |
630.05MB |
| 17 - extract-data.ipynb |
3.88KB |
| 17 - financial-pipeline.py |
2.46KB |
| 17 - transform-data.ipynb |
3.01KB |
| 18 - Introduction.mp4 |
54.46MB |
| 19 - add-tickers-by-sector.ipynb |
8.13KB |
| 19 - analyze-data.ipynb |
12.57KB |
| 19 - data-pipeline-with-parallel-enrichment-solution.py |
11.98KB |
| 19 - docker-compose.yml |
3.32KB |
| 19 - Docker The Foundation for Seamless Workflow Integration Part 2.mp4 |
1.08GB |
| 19 - fetch-data-chunk.ipynb |
8.79KB |
| 19 - fetch-data-with-financials.ipynb |
6.87KB |
| 19 - generate-report.ipynb |
6.40KB |
| 19 - requirements.txt |
101B |
| 19 - serial-to-parallel-fetch-assignment-dag.py |
13.86KB |
| 1 - Introduction.mp4 |
74.28MB |
| 20 - Bridging Exploratory Analysis and Workflow Automation.mp4 |
286.70MB |
| 20 - docker-compose.yml |
3.22KB |
| 20 - extract-data.ipynb |
3.88KB |
| 20 - financial-pipeline.py |
2.46KB |
| 20 - new-data-Analysis.ipynb |
17.05KB |
| 20 - requirements.txt |
45B |
| 20 - Transcript-subtitles-The-key-features-of-a-real-world-financial-pipeline-DAG-en-US.txt |
27.94KB |
| 20 - transform-data.ipynb |
3.01KB |
| 21 - analyze-data.ipynb |
12.57KB |
| 23 - Community and Continued Learning.mp4 |
234.89MB |
| 2 - Introduction.mp4 |
53.54MB |
| 3 - Setting Up Your Environment Your Gateway to Productivity.mp4 |
67.86MB |
| 4 - Core Python Concepts Building Your Programming Foundation.mp4 |
290.79MB |
| 5 - Python Control Flow Mechanisms.mp4 |
139.56MB |
| 6 - Dictionaries-Solution.ipynb |
4.43KB |
| 6 - List.ipynb |
1.79KB |
| 6 - Python Data Structures.mp4 |
279.01MB |
| 6 - Tuples.ipynb |
1.63KB |
| 7 - Coding Challenge Solution.mp4 |
93.10MB |
| 7 - Dictionaries-Solution.ipynb |
4.43KB |
| 8 - ErrorHandling.ipynb |
1.17KB |
| 8 - Error Handling and Debugging Writing Resilient Code.mp4 |
304.76MB |
| 9 - Introduction.mp4 |
52.50MB |