[Udemy] Библиотеки Python и обработки данных, полный диплом (2021) [En]

磁力链接/BT种子名称

[Udemy] Библиотеки Python и обработки данных, полный диплом (2021) [En]

磁力链接/BT种子简介

种子哈希：ed57f34563fa311ef6198401905d511124b38e57
文件大小： 1.47G
已经下载：603次
下载速度：极快
收录时间：2022-03-01
最近下载：2025-05-27

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文件列表

  • 3. Python Data Structures/1. Structure Data using lists.mp4 84.1 MB
  • 4. The Fundamentals of Python/6. Python Library Functions.mp4 58.3 MB
  • 2. The Basics of Python/4. Strings full tutorial.mp4 55.8 MB
  • 2. The Basics of Python/5. Numbers, Math and f-string tutorial.mp4 53.9 MB
  • 5. OOP in Python/1. Core Python OOP Classes and Instances.mp4 48.7 MB
  • 3. Python Data Structures/2. Structure data using tuples.mp4 43.0 MB
  • 6. Advanced Foundations/6. Exceptions Playground.mp4 39.2 MB
  • 5. OOP in Python/2. Core Python OOP Exploring Inheritance.mp4 38.3 MB
  • 4. The Fundamentals of Python/3. Conditional Statements.mp4 37.9 MB
  • 4. The Fundamentals of Python/8. The lambda power.mp4 36.5 MB
  • 3. Python Data Structures/3. Structure Data using Dictionaries.mp4 35.9 MB
  • 4. The Fundamentals of Python/2. Output from Logics.mp4 33.0 MB
  • 6. Advanced Foundations/1. Concise Comprehensions.mp4 32.8 MB
  • 8. Numerical Python - NumPy/5. NumPy Level 5.mp4 32.7 MB
  • 4. The Fundamentals of Python/5. The for loop in Python.mp4 32.4 MB
  • 7. Python Data Handling/5. Zipping and Unzipping Data.mp4 30.8 MB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/4. Using Jupyter Notebook for coding with Python.mp4 30.7 MB
  • 3. Python Data Structures/4. Structure Data using sets.mp4 29.6 MB
  • 4. The Fundamentals of Python/7. User-Defined Functions.mp4 29.5 MB
  • 4. The Fundamentals of Python/1. Comparing Values.mp4 28.9 MB
  • 8. Numerical Python - NumPy/1. NumPy Level 1.mp4 27.4 MB
  • 7. Python Data Handling/1. IO data in memory.mp4 26.3 MB
  • 7. Python Data Handling/4. Data will be in the trash bin.mp4 25.1 MB
  • 6. Advanced Foundations/2. Constructed modules and random.mp4 24.3 MB
  • 7. Python Data Handling/3. Moving data files between directories.mp4 22.7 MB
  • 8. Numerical Python - NumPy/6. NumPy Level 6.mp4 22.5 MB
  • 9. Analyze Data with Pandas/6. Pandas data analysis level 6.mp4 21.8 MB
  • 8. Numerical Python - NumPy/2. NumPy Level 2.mp4 21.4 MB
  • 6. Advanced Foundations/5. Errors Exploration.mp4 21.1 MB
  • 2. The Basics of Python/2. Describe what's inside the code.mp4 20.8 MB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/5. Using Anaconda Prompt.mp4 19.9 MB
  • 2. The Basics of Python/3. Define Blocks and Avoid IndentationError.mp4 19.5 MB
  • 9. Analyze Data with Pandas/2. Pandas data analysis level 2.mp4 19.1 MB
  • 2. The Basics of Python/6. Handling inputs and outputs.mp4 18.8 MB
  • 4. The Fundamentals of Python/10. The continue statement.mp4 18.6 MB
  • 6. Advanced Foundations/3. Doing mathematics.mp4 18.5 MB
  • 7. Python Data Handling/2. Interacting with operating system data.mp4 18.3 MB
  • 8. Numerical Python - NumPy/7. NumPy Level 7.mp4 18.2 MB
  • 6. Advanced Foundations/4. Doing statistics.mp4 17.5 MB
  • 4. The Fundamentals of Python/9. The break statement.mp4 17.4 MB
  • 2. The Basics of Python/1. Variables and Types Tutorial.mp4 17.2 MB
  • 9. Analyze Data with Pandas/4. Pandas data analysis level 4.mp4 16.6 MB
  • 9. Analyze Data with Pandas/5. Pandas data analysis level 5.mp4 16.6 MB
  • 8. Numerical Python - NumPy/8. NumPy Level 8.mp4 16.3 MB
  • 9. Analyze Data with Pandas/1. Pandas data analysis level 1.mp4 14.9 MB
  • 10. Visualize Data with Matplotlib/4. Matplotlib data visualization level 4.mp4 14.3 MB
  • 10. Visualize Data with Matplotlib/3. Matplotlib data visualization level 3.mp4 13.9 MB
  • 8. Numerical Python - NumPy/4. NumPy Level 4.mp4 13.6 MB
  • 11. Advanced Data graphs with Seaborn/1. Seaborn statistical graphs level 1.mp4 13.0 MB
  • 8. Numerical Python - NumPy/9. NumPy Level 9.mp4 13.0 MB
  • 10. Visualize Data with Matplotlib/1. Matplotlib data visualization level 1.mp4 13.0 MB
  • 4. The Fundamentals of Python/4. The while loop in Python.mp4 12.6 MB
  • 10. Visualize Data with Matplotlib/6. Matplotlib data visualization level 6.mp4 12.1 MB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/1. Welcome to Mastering Python, Data Handling.mp4 11.4 MB
  • 11. Advanced Data graphs with Seaborn/5. Seaborn statistical graphs level 5.mp4 11.3 MB
  • 10. Visualize Data with Matplotlib/7. Matplotlib data visualization level 7.mp4 11.2 MB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/3. Jupyter Overview Markdown in Jupyter tutorial.mp4 10.8 MB
  • 9. Analyze Data with Pandas/3. Pandas data analysis level 3.mp4 10.4 MB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/2. Download and Install the working tools.mp4 9.8 MB
  • 4. The Fundamentals of Python/11. The for else statement.mp4 9.7 MB
  • 8. Numerical Python - NumPy/3. NumPy Level 3.mp4 9.7 MB
  • 11. Advanced Data graphs with Seaborn/6. Seaborn statistical graphs level 6.mp4 9.2 MB
  • 12. Resources/1. Python Programming.mp4 8.3 MB
  • 4. The Fundamentals of Python/12. Program to Put all together.mp4 7.8 MB
  • 10. Visualize Data with Matplotlib/5. Matplotlib data visualization level 5.mp4 7.3 MB
  • 11. Advanced Data graphs with Seaborn/4. Seaborn statistical graphs level 4.mp4 7.1 MB
  • 11. Advanced Data graphs with Seaborn/7. Seaborn statistical graphs level 7.mp4 6.6 MB
  • 12. Resources/4. Matplotlib.mp4 5.6 MB
  • 10. Visualize Data with Matplotlib/2. Matplotlib data visualization level 2.mp4 5.4 MB
  • 11. Advanced Data graphs with Seaborn/2. Seaborn statistical graphs level 2.mp4 5.3 MB
  • 11. Advanced Data graphs with Seaborn/3. Seaborn statistical graphs level 3.mp4 4.8 MB
  • 12. Resources/3. Pandas.mp4 3.1 MB
  • 12. Resources/5. Seaborn.mp4 2.8 MB
  • 12. Resources/2. NumPy.mp4 2.1 MB
  • Working_Files+(3).zip 446.8 kB
  • Working_Files+(3)_2.zip 446.8 kB
  • Working_Files+(3)_3.zip 446.8 kB
  • Working_Files.zip 311.2 kB
  • Working_Files_2.zip 311.2 kB
  • Working_Files_3.zip 311.2 kB
  • Working_Files_4.zip 311.2 kB
  • Working_Files_5.zip 311.2 kB
  • Working_Files_6.zip 311.2 kB
  • Working_Files_7.zip 311.2 kB
  • Working_Files_8.zip 311.2 kB
  • Python+for+Data_2.pdf 111.2 kB
  • Python+for+Data.pdf 111.2 kB
  • 3. Python Data Structures/1. Structure Data using lists.srt 27.9 kB
  • 2. The Basics of Python/5. Numbers, Math and f-string tutorial.srt 18.9 kB
  • 2. The Basics of Python/4. Strings full tutorial.srt 17.7 kB
  • 5. OOP in Python/1. Core Python OOP Classes and Instances.srt 14.7 kB
  • 2. The Basics of Python/1. Variables and Types Tutorial.srt 14.2 kB
  • 3. Python Data Structures/2. Structure data using tuples.srt 13.8 kB
  • 4. The Fundamentals of Python/6. Python Library Functions.srt 13.6 kB
  • 4. The Fundamentals of Python/3. Conditional Statements.srt 11.9 kB
  • 5. OOP in Python/2. Core Python OOP Exploring Inheritance.srt 11.6 kB
  • 3. Python Data Structures/3. Structure Data using Dictionaries.srt 10.5 kB
  • 4. The Fundamentals of Python/8. The lambda power.srt 10.4 kB
  • 4. The Fundamentals of Python/1. Comparing Values.srt 10.2 kB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/3. Jupyter Overview + Markdown in Jupyter tutorial.srt 9.8 kB
  • 4. The Fundamentals of Python/7. User-Defined Functions.srt 9.2 kB
  • 7. Python Data Handling/1. IO data in memory.srt 9.1 kB
  • 3. Python Data Structures/4. Structure Data using sets.srt 9.0 kB
  • 4. The Fundamentals of Python/5. The for loop in Python.srt 8.7 kB
  • 8. Numerical Python - NumPy/1. NumPy Level 1.srt 8.6 kB
  • 4. The Fundamentals of Python/2. Output from Logics.srt 8.6 kB
  • 7. Python Data Handling/5. Zipping and Unzipping Data.srt 8.4 kB
  • 6. Advanced Foundations/6. Exceptions Playground.srt 8.3 kB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/4. Using Jupyter Notebook for coding with Python.srt 8.3 kB
  • 6. Advanced Foundations/2. Constructed modules and random.srt 8.0 kB
  • 6. Advanced Foundations/1. Concise Comprehensions.srt 6.7 kB
  • 2. The Basics of Python/2. Describe what's inside the code.srt 6.3 kB
  • 8. Numerical Python - NumPy/5. NumPy Level 5.srt 6.1 kB
  • 8. Numerical Python - NumPy/2. NumPy Level 2.srt 6.0 kB
  • 6. Advanced Foundations/3. Doing mathematics.srt 5.9 kB
  • 7. Python Data Handling/3. Moving data files between directories.srt 5.9 kB
  • 2. The Basics of Python/6. Handling inputs and outputs.srt 5.8 kB
  • 2. The Basics of Python/3. Define Blocks and Avoid IndentationError.srt 5.7 kB
  • 6. Advanced Foundations/4. Doing statistics.srt 5.5 kB
  • 7. Python Data Handling/4. Data will be in the trash bin.srt 5.5 kB
  • 4. The Fundamentals of Python/10. The continue statement.srt 5.3 kB
  • 4. The Fundamentals of Python/9. The break statement.srt 5.3 kB
  • 6. Advanced Foundations/5. Errors Exploration.srt 5.3 kB
  • 9. Analyze Data with Pandas/6. Pandas data analysis level 6.srt 5.2 kB
  • 9. Analyze Data with Pandas/2. Pandas data analysis level 2.srt 5.0 kB
  • 9. Analyze Data with Pandas/1. Pandas data analysis level 1.srt 4.6 kB
  • 8. Numerical Python - NumPy/7. NumPy Level 7.srt 4.5 kB
  • 8. Numerical Python - NumPy/4. NumPy Level 4.srt 4.5 kB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/5. Using Anaconda Prompt.srt 4.5 kB
  • 11. Advanced Data graphs with Seaborn/1. Seaborn statistical graphs level 1.srt 4.4 kB
  • 8. Numerical Python - NumPy/8. NumPy Level 8.srt 4.2 kB
  • 8. Numerical Python - NumPy/6. NumPy Level 6.srt 4.1 kB
  • 7. Python Data Handling/2. Interacting with operating system data.srt 3.9 kB
  • 4. The Fundamentals of Python/4. The while loop in Python.srt 3.8 kB
  • 10. Visualize Data with Matplotlib/1. Matplotlib data visualization level 1.srt 3.8 kB
  • 10. Visualize Data with Matplotlib/4. Matplotlib data visualization level 4.srt 3.8 kB
  • 10. Visualize Data with Matplotlib/6. Matplotlib data visualization level 6.srt 3.7 kB
  • 10. Visualize Data with Matplotlib/3. Matplotlib data visualization level 3.srt 3.6 kB
  • 9. Analyze Data with Pandas/5. Pandas data analysis level 5.srt 3.4 kB
  • 9. Analyze Data with Pandas/4. Pandas data analysis level 4.srt 3.3 kB
  • 8. Numerical Python - NumPy/3. NumPy Level 3.srt 3.3 kB
  • 8. Numerical Python - NumPy/9. NumPy Level 9.srt 3.2 kB
  • 10. Visualize Data with Matplotlib/7. Matplotlib data visualization level 7.srt 3.0 kB
  • 4. The Fundamentals of Python/11. The for else statement.srt 2.8 kB
  • 11. Advanced Data graphs with Seaborn/6. Seaborn statistical graphs level 6.srt 2.8 kB
  • 11. Advanced Data graphs with Seaborn/5. Seaborn statistical graphs level 5.srt 2.7 kB
  • 9. Analyze Data with Pandas/3. Pandas data analysis level 3.srt 2.6 kB
  • 11. Advanced Data graphs with Seaborn/2. Seaborn statistical graphs level 2.srt 2.4 kB
  • 11. Advanced Data graphs with Seaborn/7. Seaborn statistical graphs level 7.srt 2.3 kB
  • 4. The Fundamentals of Python/12. Program to Put all together.srt 2.1 kB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/1. Welcome to Mastering Python, Data Handling, Analysis and Visualization.srt 2.0 kB
  • 11. Advanced Data graphs with Seaborn/4. Seaborn statistical graphs level 4.srt 2.0 kB
  • 10. Visualize Data with Matplotlib/2. Matplotlib data visualization level 2.srt 1.9 kB
  • 1. Mastering Python, Data Handling, Analysis and Visualization/2. Download and Install the working tools.srt 1.9 kB
  • 10. Visualize Data with Matplotlib/5. Matplotlib data visualization level 5.srt 1.7 kB
  • 11. Advanced Data graphs with Seaborn/3. Seaborn statistical graphs level 3.srt 1.6 kB
  • 12. Resources/1. Python Programming.srt 822 Bytes
  • 12. Resources/4. Matplotlib.srt 761 Bytes
  • 12. Resources/2. NumPy.srt 629 Bytes
  • 12. Resources/5. Seaborn.srt 587 Bytes
  • 12. Resources/3. Pandas.srt 534 Bytes

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