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种子名称： [GigaCourse.com] Udemy - Python for Data Science and Data Analysis Masterclass 2020
文件类型： 视频
文件数目： 47个文件
文件大小： 2.12 GB
收录时间： 2021-1-10 14:23
已经下载： 3次
资源热度： 159
最近下载： 2024-6-25 07:17

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[GigaCourse.com] Udemy - Python for Data Science and Data Analysis Masterclass 2020.torrent

1. Welcome to the Course !/2. Introduction to Google Colab.mp438.92MB

2. Python Crash Course Part 1 Data Types/1. Data Types Introduction.mp422.77MB

2. Python Crash Course Part 1 Data Types/10. Sets.mp423.78MB

2. Python Crash Course Part 1 Data Types/11. Booleans.mp417.34MB

2. Python Crash Course Part 1 Data Types/2. Numbers.mp429.74MB

2. Python Crash Course Part 1 Data Types/3. Strings Part 1 - Basics.mp441.47MB

2. Python Crash Course Part 1 Data Types/4. Strings Part 2 - Indexing and Slicing.mp440.74MB

2. Python Crash Course Part 1 Data Types/5. Strings Part 3 - Properties and Methods.mp426.29MB

2. Python Crash Course Part 1 Data Types/6. Strings Part 4 - String Formatting.mp444.97MB

2. Python Crash Course Part 1 Data Types/7. Lists.mp459.42MB

2. Python Crash Course Part 1 Data Types/8. Dictionaries.mp456.73MB

2. Python Crash Course Part 1 Data Types/9. Tuples.mp437.39MB

3. Python Crash Course Part 2 Python Statements/1. If, Elif and Else.mp432.62MB

3. Python Crash Course Part 2 Python Statements/2. For loop.mp489.62MB

3. Python Crash Course Part 2 Python Statements/3. While Loop.mp457.97MB

3. Python Crash Course Part 2 Python Statements/4. Useful functions in Python.mp477.45MB

4. Python Crash Course Part 3 Functions/1. Functions Part 1.mp455.4MB

4. Python Crash Course Part 3 Functions/2. Functions Part 2.mp447.81MB

4. Python Crash Course Part 3 Functions/3. args and kwargs.mp454.62MB

4. Python Crash Course Part 3 Functions/4. Map, Filter and Lambda Expression.mp458.81MB

5. Python Crash Course Part 4 Object Oriented Programming (OOP)/1. Introduction of Object Oriented Programming.mp429.99MB

5. Python Crash Course Part 4 Object Oriented Programming (OOP)/2. Class and Attributes.mp437.82MB

5. Python Crash Course Part 4 Object Oriented Programming (OOP)/3. Methods.mp458.92MB

5. Python Crash Course Part 4 Object Oriented Programming (OOP)/4. Inheritance.mp443.18MB

6. Data Analysis with Numpy/1. Introduction to NumPy.mp416.26MB

6. Data Analysis with Numpy/2. Numpy Arrays Part 1.mp416.76MB

6. Data Analysis with Numpy/3. Numpy Arrays Part 2.mp453.96MB

6. Data Analysis with Numpy/4. Numpy Arrays Part 3.mp427.26MB

6. Data Analysis with Numpy/5. Numpy Indexing and Selection Part 1.mp445.15MB

6. Data Analysis with Numpy/6. Numpy Indexing and Selection Part 2.mp426.61MB

6. Data Analysis with Numpy/7. Numpy Operations.mp429.26MB

7. Data Analysis with pandas/1. Pandas Introduction.mp412.55MB

7. Data Analysis with pandas/10. Reading and Writing Files in Pandas.mp446.47MB

7. Data Analysis with pandas/2. Pandas Series.mp470.01MB

7. Data Analysis with pandas/3. DataFrames Part 1.mp478.01MB

7. Data Analysis with pandas/4. DataFrames Part 2.mp455.29MB

7. Data Analysis with pandas/5. DataFrames Part 3.mp456.43MB

7. Data Analysis with pandas/6. Missing Data.mp435.29MB

7. Data Analysis with pandas/7. Groupby Method.mp449.12MB

7. Data Analysis with pandas/8. Merging, Joining and Concatenating DataFrames.mp457.27MB

7. Data Analysis with pandas/9. Pandas Operations.mp438.82MB

8. Data Visualization with matplotlib/1. Matplotlib Part 1 - Functional Method.mp490.65MB

8. Data Visualization with matplotlib/2. Matplotlib Part 1 - Object Oriented Method.mp444.02MB

8. Data Visualization with matplotlib/3. Matplotlib Part 2 - Subplots Method.mp437.78MB

8. Data Visualization with matplotlib/4. Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp453.95MB

8. Data Visualization with matplotlib/5. Matplotlib Part 3.mp450.1MB

8. Data Visualization with matplotlib/6. Matplotlib Part 4.mp491.2MB