[FreeCoursesOnline.Me] Linkedin - Python for Data Engineering： from Beginner to Advanced

磁力链接/BT种子名称

[FreeCoursesOnline.Me] Linkedin - Python for Data Engineering： from Beginner to Advanced

磁力链接/BT种子简介

种子哈希：39b74e52f96c04c234a7fa228bf12faf9eca884f
文件大小：531.36M
已经下载：9521次
下载速度：极快
收录时间：2024-02-19
最近下载：2026-01-13

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文件列表

  • 09 - 8. Capstone Project/50 - Solution： Capstone project.mp4 53.1 MB
  • 05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.mp4 25.1 MB
  • 04 - 3. Python File Handling/22 - Working with CSV files.mp4 20.7 MB
  • 05 - 4. pandas DataFrame API/26 - Read files as DataFrames.mp4 19.5 MB
  • 03 - 2. Python Collections/19 - Python collections： Dictionaries.mp4 19.3 MB
  • 02 - 1. Python Basics/12 - String manipulation.mp4 18.3 MB
  • 06 - 5. NumPy/35 - Indexing and slicing.mp4 17.8 MB
  • 05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.mp4 17.1 MB
  • 05 - 4. pandas DataFrame API/29 - Data visualization.mp4 16.1 MB
  • 06 - 5. NumPy/34 - Array operations.mp4 15.4 MB
  • 02 - 1. Python Basics/08 - Operators and expressions.mp4 15.0 MB
  • 06 - 5. NumPy/33 - Array creation and attributes.mp4 14.4 MB
  • 02 - 1. Python Basics/10 - Functions.mp4 13.9 MB
  • 03 - 2. Python Collections/17 - Python collections： Lists.mp4 13.7 MB
  • 03 - 2. Python Collections/16 - Python collections： Tuples.mp4 13.4 MB
  • 04 - 3. Python File Handling/23 - Working with JSON files.mp4 13.3 MB
  • 02 - 1. Python Basics/13 - Error handling.mp4 12.5 MB
  • 02 - 1. Python Basics/09 - Control structures.mp4 12.3 MB
  • 06 - 5. NumPy/36 - Linear algebra and statistics.mp4 12.3 MB
  • 05 - 4. pandas DataFrame API/30 - Write DataFrames as files.mp4 12.3 MB
  • 02 - 1. Python Basics/11 - Modules and packages.mp4 12.0 MB
  • 03 - 2. Python Collections/18 - Python collections： Sets.mp4 11.2 MB
  • 06 - 5. NumPy/37 - Write DataFrames as files.mp4 11.2 MB
  • 02 - 1. Python Basics/07 - Variables and data types.mp4 10.8 MB
  • 02 - 1. Python Basics/06 - Explore a Google Colab worksheet.mp4 10.4 MB
  • 07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.mp4 10.0 MB
  • 08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.mp4 9.2 MB
  • 05 - 4. pandas DataFrame API/25 - Introduction to pandas.mp4 8.5 MB
  • 06 - 5. NumPy/32 - Introduction to NumPy.mp4 8.4 MB
  • 02 - 1. Python Basics/04 - Introduction to Python and data engineering.mp4 7.5 MB
  • 07 - 6. OOP with Python/42 - Solution： OOP.mp4 6.9 MB
  • 02 - 1. Python Basics/05 - Setting up your Python environment.mp4 6.7 MB
  • 08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.mp4 6.6 MB
  • 09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.mp4 6.4 MB
  • 04 - 3. Python File Handling/21 - File I⧸O overview.mp4 6.4 MB
  • 08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.mp4 6.3 MB
  • 04 - 3. Python File Handling/24 - Solution： File handling.mp4 6.3 MB
  • 08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.mp4 6.0 MB
  • 07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.mp4 6.0 MB
  • 08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.mp4 5.3 MB
  • 03 - 2. Python Collections/15 - Collection overview.mp4 5.2 MB
  • 01 - Introduction/03 - CoderPad tour.mp4 4.9 MB
  • 07 - 6. OOP with Python/39 - Understanding classes and objects.mp4 4.7 MB
  • 08 - 7. Advanced Data Engineering/45 - What is Hadoop？.mp4 4.5 MB
  • 05 - 4. pandas DataFrame API/31 - Solution： pandas.mp4 4.0 MB
  • 06 - 5. NumPy/38 - Solution： NumPy.mp4 3.9 MB
  • 02 - 1. Python Basics/14 - Solution： Conditions.mp4 3.4 MB
  • 03 - 2. Python Collections/20 - Solution： Collections.mp4 2.5 MB
  • 01 - Introduction/02 - What you should know.mp4 2.1 MB
  • 01 - Introduction/01 - Welcome to the course.mp4 1.9 MB
  • 10 - Conclusion/51 - Next steps.mp4 1.8 MB
  • Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip 453.2 kB
  • 09 - 8. Capstone Project/50 - Solution： Capstone project.en.srt 21.0 kB
  • 06 - 5. NumPy/35 - Indexing and slicing.en.srt 10.3 kB
  • 02 - 1. Python Basics/12 - String manipulation.en.srt 9.8 kB
  • 06 - 5. NumPy/34 - Array operations.en.srt 8.6 kB
  • 02 - 1. Python Basics/09 - Control structures.en.srt 8.6 kB
  • 03 - 2. Python Collections/19 - Python collections： Dictionaries.en.srt 8.4 kB
  • 02 - 1. Python Basics/10 - Functions.en.srt 8.3 kB
  • 02 - 1. Python Basics/08 - Operators and expressions.en.srt 8.2 kB
  • 05 - 4. pandas DataFrame API/27 - Data cleaning and preprocessing.en.srt 7.8 kB
  • 02 - 1. Python Basics/07 - Variables and data types.en.srt 7.6 kB
  • 05 - 4. pandas DataFrame API/26 - Read files as DataFrames.en.srt 7.4 kB
  • 06 - 5. NumPy/36 - Linear algebra and statistics.en.srt 7.3 kB
  • 06 - 5. NumPy/33 - Array creation and attributes.en.srt 7.2 kB
  • 03 - 2. Python Collections/16 - Python collections： Tuples.en.srt 7.1 kB
  • 04 - 3. Python File Handling/22 - Working with CSV files.en.srt 6.9 kB
  • 05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.en.srt 6.9 kB
  • 02 - 1. Python Basics/11 - Modules and packages.en.srt 6.5 kB
  • 02 - 1. Python Basics/13 - Error handling.en.srt 6.5 kB
  • 04 - 3. Python File Handling/23 - Working with JSON files.en.srt 6.4 kB
  • 03 - 2. Python Collections/17 - Python collections： Lists.en.srt 6.3 kB
  • 05 - 4. pandas DataFrame API/29 - Data visualization.en.srt 6.2 kB
  • 02 - 1. Python Basics/06 - Explore a Google Colab worksheet.en.srt 5.9 kB
  • 06 - 5. NumPy/37 - Write DataFrames as files.en.srt 5.7 kB
  • 03 - 2. Python Collections/18 - Python collections： Sets.en.srt 5.1 kB
  • 08 - 7. Advanced Data Engineering/43 - Tips to write efficient Python code.en.srt 4.9 kB
  • 08 - 7. Advanced Data Engineering/47 - Importance of visualization tools in DE.en.srt 4.7 kB
  • 08 - 7. Advanced Data Engineering/48 - On-prem vs. cloud data engineering.en.srt 4.7 kB
  • 08 - 7. Advanced Data Engineering/46 - Understand PySpark for data engineering.en.srt 4.6 kB
  • 07 - 6. OOP with Python/40 - Implementation： Classes and objects in Python.en.srt 4.6 kB
  • 08 - 7. Advanced Data Engineering/44 - What is ETL in the data engineering world？.en.srt 4.5 kB
  • 09 - 8. Capstone Project/49 - Capstone project： Retail sales analysis.en.srt 4.3 kB
  • 05 - 4. pandas DataFrame API/30 - Write DataFrames as files.en.srt 4.2 kB
  • 05 - 4. pandas DataFrame API/25 - Introduction to pandas.en.srt 4.0 kB
  • 02 - 1. Python Basics/04 - Introduction to Python and data engineering.en.srt 4.0 kB
  • 06 - 5. NumPy/32 - Introduction to NumPy.en.srt 4.0 kB
  • 07 - 6. OOP with Python/42 - Solution： OOP.en.srt 3.9 kB
  • 07 - 6. OOP with Python/41 - Understand OOP features： Abstraction, inheritance, and more.en.srt 3.8 kB
  • 08 - 7. Advanced Data Engineering/45 - What is Hadoop？.en.srt 3.7 kB
  • 02 - 1. Python Basics/05 - Setting up your Python environment.en.srt 3.6 kB
  • 04 - 3. Python File Handling/24 - Solution： File handling.en.srt 3.4 kB
  • 04 - 3. Python File Handling/21 - File I⧸O overview.en.srt 2.8 kB
  • 03 - 2. Python Collections/15 - Collection overview.en.srt 2.8 kB
  • 01 - Introduction/03 - CoderPad tour.en.srt 2.7 kB
  • 07 - 6. OOP with Python/39 - Understanding classes and objects.en.srt 2.4 kB
  • 05 - 4. pandas DataFrame API/31 - Solution： pandas.en.srt 2.2 kB
  • 06 - 5. NumPy/38 - Solution： NumPy.en.srt 2.1 kB
  • 01 - Introduction/02 - What you should know.en.srt 1.9 kB
  • 02 - 1. Python Basics/14 - Solution： Conditions.en.srt 1.8 kB
  • 03 - 2. Python Collections/20 - Solution： Collections.en.srt 1.5 kB
  • 10 - Conclusion/51 - Next steps.en.srt 1.2 kB
  • 01 - Introduction/01 - Welcome to the course.en.srt 873 Bytes
  • 0. Websites you may like/1. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
  • FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url 290 Bytes
  • 0. Websites you may like/2. FTUApps.com Download Cracked Developers Applications For Free.url 239 Bytes
  • Support Us.txt 185 Bytes

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！