Udemy | Data Processing with Python [FTU]

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name:	Udemy \| Data Processing with Python [FTU]
说明: Learn how to use Python and Pandas for cleaning and reorganizing huge amounts of data. Created by: Ardit Sulce Last updated: 10/2019 Language: English Subs + Caption: Included Torrent Contains: 148 Files, 12 Folders Course Source: https://www.udemy.com/course/python-step-by-step-build-a-data-analysis-program/ What you'll learn • Build 10 advanced Python scripts which together make up a data analysis and visualization program. • Solve six exercises related to processing, analyzing and visualizing US income data with Python. • Learn the fundamental blocks of the Python programming language such as variables, datatypes, loops, conditionals, functions and more. • Use Python to batch download files from FTP sites, extract, rename and store remote files locally. • Import data into Python for analysis and visualization from various sources such as CSV and delimited TXT files. • Keep the data organized inside Python in easily manageable pandas dataframes. • Merge large datasets taken from various data file formats. • Create pivot tables in Python out of large datasets. • Perform various operations among data columns and rows. • Query data from Python pandas dataframes. • Export data from Python into various formats such as TXT, CSV, Excel, HTML and more. • Use Python to perform various visualizations such as time series, plots, heatmaps, and more. • Create KML Google Earth files out of CSV files. Course content all 50 lectures 03:46:33 Requirements • A working computer (Windows, Mac, or Linux) • No prior knowledge of Python is required Description Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happen because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data. This course assumes you have basic knowledge of variables, functions, for loops, and conditionals. In the course you will be given access to a million records of raw historical weather data and you will use Python in every single step to deal with that dataset. That includes learning how to use Python to batch download and extract the data files, load thousands of files in Python via pandas, cleaning the data, concatenating and joining data from different sources, converting between fields, aggregating, conditioning, and many more data processing operations. On top of that, you will also learn how to calculate statistics and visualize the final data. The course also covers a series of exercises where you will be given some sample data then practice what you learned by cleaning and reorganizing those data using Python. Who this course is for: • Those who come from any technology field that deals with any kind of data. • Those who want to leverage the power of the Python programming language for handling data. • Those who need to learn Python basics and want to quickly advance their skills by learning how to perform data cleaning, analysis and visualization with Python - all in one single course. • Those who want to switch from programming languages such as Java, C, R, Matlab, etc. to Python.
YouTube 视频:
类别:	Tutorials
语言:	English
总大小:	1.33 GB
哈希信息:	54D3157B177CA6533F3DCF146BC17C597496158F
增加:	Prom3th3uS
加入的日期:	2019-11-08 23:38:20
洪流地位:	Torrent Verified

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文件列表:

文件	大小
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	328.00 B
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url	163.00 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help Team-FTU.txt	229.00 B
1. Getting Started/1. Installing Python and Python libraries.mp4	104.26 MB
1. Getting Started/1. Installing Python and Python libraries.srt	9.75 kB
1. Getting Started/1. Installing Python and Python libraries.vtt	8.85 kB
1. Getting Started/2. Python editors - Spyder and iPython.mp4	37.26 MB
1. Getting Started/2. Python editors - Spyder and iPython.srt	4.23 kB
1. Getting Started/2. Python editors - Spyder and iPython.vtt	3.83 kB
10. Putting everything together/1. User interaction.mp4	23.59 MB
10. Putting everything together/1. User interaction.srt	7.20 kB
10. Putting everything together/1. User interaction.vtt	6.53 kB
10. Putting everything together/2. Exercise User interaction.html	1.93 kB
10. Putting everything together/3. Exercise User interaction Solution.html	711.00 B
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp4	27.34 MB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.srt	6.14 kB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.vtt	5.60 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp4	38.44 MB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.srt	6.33 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.vtt	5.73 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp4	34.02 MB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.srt	5.82 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.vtt	5.29 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4	32.16 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.srt	12.77 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.vtt	11.54 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4	122.86 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.srt	9.52 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.vtt	8.58 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2.1 thefts_and_pop.xls.xls	452.00 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4	240.21 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.srt	19.87 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.vtt	17.87 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/4. Bonus Lecture.html	2.26 kB
2. Downloading Many Files with Python/1. Section introduction.mp4	7.72 MB
2. Downloading Many Files with Python/1. Section introduction.srt	1.92 kB
2. Downloading Many Files with Python/1. Section introduction.vtt	1.75 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp4	21.73 MB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.srt	8.78 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.vtt	7.98 kB
2. Downloading Many Files with Python/3. Storing Python code.mp4	18.17 MB
2. Downloading Many Files with Python/3. Storing Python code.srt	5.72 kB
2. Downloading Many Files with Python/3. Storing Python code.vtt	5.14 kB
2. Downloading Many Files with Python/4. Creating an FTP function.mp4	9.34 MB
2. Downloading Many Files with Python/4. Creating an FTP function.srt	3.05 kB
2. Downloading Many Files with Python/4. Creating an FTP function.vtt	2.79 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.mp4	50.51 MB
2. Downloading Many Files with Python/5. Downloading an FTP file.srt	9.75 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.vtt	8.82 kB
2. Downloading Many Files with Python/5.1 FtpPDFDownloader.py.py	346.00 B
2. Downloading Many Files with Python/6. About the next lecture.html	613.00 B
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp4	54.89 MB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.srt	14.11 kB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.vtt	12.81 kB
2. Downloading Many Files with Python/7.1 Ftp Downloader.py	805.00 B
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4	41.91 MB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.srt	3.85 kB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.vtt	3.50 kB
3. Extracting Data from Archive Files/1.1 Four Files Inside Extract Me.zip	48.31 kB
3. Extracting Data from Archive Files/2. Extracting RAR files.mp4	8.63 MB
3. Extracting Data from Archive Files/2. Extracting RAR files.srt	2.15 kB
3. Extracting Data from Archive Files/2. Extracting RAR files.vtt	1.94 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4	32.28 MB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.srt	6.73 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.vtt	6.12 kB
3. Extracting Data from Archive Files/3.1 Extractor.py	1.21 kB
4. Working with TXT and CSV Files/1. Section introduction.mp4	14.04 MB
4. Working with TXT and CSV Files/1. Section introduction.srt	1.86 kB
4. Working with TXT and CSV Files/1. Section introduction.vtt	1.67 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4	27.20 MB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.srt	11.42 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.vtt	10.40 kB
4. Working with TXT and CSV Files/2.1 Comma Separated.txt	33.58 kB
4. Working with TXT and CSV Files/2.2 Space Separated.txt	34.32 kB
4. Working with TXT and CSV Files/3. Reading Excel files.html	612.00 B
4. Working with TXT and CSV Files/4. Exporting data from Python to files.mp4	21.06 MB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.srt	4.79 kB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.vtt	4.35 kB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.mp4	8.96 MB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.srt	2.26 kB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.vtt	2.12 kB
4. Working with TXT and CSV Files/5.1 Fixed Width.txt	2.83 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.mp4	11.73 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.srt	1.26 kB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.vtt	1.15 kB
4. Working with TXT and CSV Files/7. Data Analysis Exercise 1.html	11.55 kB
4. Working with TXT and CSV Files/7.1 Income-By-State-1984.xls.xls	26.00 kB
4. Working with TXT and CSV Files/8. Data Analysis Exercise 1 Solution.html	255.00 B
5. Getting Started with Pandas/1. Get started with Pandas.mp4	25.48 MB
5. Getting Started with Pandas/1. Get started with Pandas.srt	7.63 kB
5. Getting Started with Pandas/1. Get started with Pandas.vtt	6.92 kB
5. Getting Started with Pandas/1.1 SmallFile.csv.csv	264.00 B
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4	26.50 MB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.srt	5.44 kB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.vtt	4.96 kB
5. Getting Started with Pandas/2.1 Add Field.py	1.59 kB
5. Getting Started with Pandas/2.2 All_Data_Files.zip.zip	875.99 kB
5. Getting Started with Pandas/3. Data Analysis Exercise 2.html	4.95 kB
5. Getting Started with Pandas/3.1 Income-By-State-1984.zip.zip	461.00 B
5. Getting Started with Pandas/4. Data Analysis Exercise 2 Solution.html	670.00 B
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4	38.33 MB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.srt	6.46 kB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.vtt	5.87 kB
6. Merging Data/1.1 CSV_Files.zip.zip	824.41 kB
6. Merging Data/1.2 Concatenator.py	2.13 kB
6. Merging Data/2. Data Analysis Exercise 3.html	3.20 kB
6. Merging Data/2.1 Income-By-State.zip.zip	147.04 kB
6. Merging Data/3. Data Analysis Exercise 3 Solution.html	1.52 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp4	39.93 MB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.srt	9.33 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.vtt	8.54 kB
6. Merging Data/4.1 Join.py	2.57 kB
6. Merging Data/4.2 station-info.txt.txt	2.80 MB
6. Merging Data/4.3 Concatenated.zip.zip	815.49 kB
6. Merging Data/5. Data Analysis Exercise 4.html	5.20 kB
6. Merging Data/5.1 Income-By-State-By-Year.zip.zip	5.83 kB
6. Merging Data/6. Data Analysis Exercise 4 Solution.html	912.00 B
6. Merging Data/7. Data Analysis Exercise 5.html	4.60 kB
6. Merging Data/7.1 Two-Files-Inside.zip.zip	5.20 kB
6. Merging Data/8. Solution 5 of 6.html	372.00 B
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4	48.20 MB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.srt	8.77 kB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.vtt	7.93 kB
7. Data Aggregation/1.1 Concatenated-Merged.zip.zip	1,023.68 kB
7. Data Aggregation/1.2 Pivot.py	2.88 kB
8. Visualizing Data/1. Data visualization with Python.mp4	22.77 MB
8. Visualizing Data/1. Data visualization with Python.srt	13.32 kB
8. Visualizing Data/1. Data visualization with Python.vtt	12.03 kB
8. Visualizing Data/2. More visualization techniques.mp4	71.39 MB
8. Visualizing Data/2. More visualization techniques.srt	13.79 kB
8. Visualizing Data/2. More visualization techniques.vtt	12.52 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp4	15.99 MB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.srt	3.80 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.vtt	3.43 kB
8. Visualizing Data/3.1 Plot.py	3.06 kB
8. Visualizing Data/4. Data Analysis Exercise 6.html	4.52 kB
8. Visualizing Data/4.1 US-States-Median-Income-Data.zip.zip	5.09 kB
8. Visualizing Data/5. Data Analysis Exercise 6 Solution.html	456.00 B
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp4	18.98 MB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.srt	5.33 kB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.vtt	4.83 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4	56.94 MB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.srt	8.49 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.vtt	7.72 kB
9. Mapping Spatial Data/2.1 Kml.py	3.46 kB

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Udemy | Data Processing with Python [FTU]