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Download Torrent "Udemy | Data Processing with Python [FTU]"

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Title:Udemy | Data Processing with Python [FTU]
Description:
For More Udemy Free Courses >>> https://freetutorials.us/
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Forum for discussion >>> https://1hack.us/




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.




Category:Tutorials > Tutorials
Lang:English  English
Total Size:1.33 GB
Info Hash:54d3157b177ca6533f3dcf146bc17c597496158f
Added By:Prom3th3uS
Date Added:08-11-2019 15:38:36

  

Files

File List: 
 File Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url377.00 B
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url328.00 B
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url286.00 B
0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url163.00 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url239.00 B
0. Websites you may like/How you can help Team-FTU.txt229.00 B
1. Getting Started/1. Installing Python and Python libraries.mp4104 MB
1. Getting Started/1. Installing Python and Python libraries.srt9.75 kB
1. Getting Started/1. Installing Python and Python libraries.vtt8.85 kB
1. Getting Started/2. Python editors - Spyder and iPython.mp437 MB
1. Getting Started/2. Python editors - Spyder and iPython.srt4.23 kB
1. Getting Started/2. Python editors - Spyder and iPython.vtt3.83 kB
10. Putting everything together/1. User interaction.mp424 MB
10. Putting everything together/1. User interaction.srt7.20 kB
10. Putting everything together/1. User interaction.vtt6.53 kB
10. Putting everything together/2. Exercise User interaction.html1.93 kB
10. Putting everything together/3. Exercise User interaction Solution.html711.00 B
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp427 MB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.srt6.14 kB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.vtt5.60 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp438 MB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.srt6.33 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.vtt5.73 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp434 MB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.srt5.82 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.vtt5.29 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp432 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.srt12.77 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.vtt11.54 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4123 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.srt9.52 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.vtt8.58 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2.1 thefts_and_pop.xls.xls452.00 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4240 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.srt19.87 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.vtt17.87 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/4. Bonus Lecture.html2.26 kB
2. Downloading Many Files with Python/1. Section introduction.mp48 MB
2. Downloading Many Files with Python/1. Section introduction.srt1.92 kB
2. Downloading Many Files with Python/1. Section introduction.vtt1.75 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp422 MB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.srt8.78 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.vtt7.98 kB
2. Downloading Many Files with Python/3. Storing Python code.mp418 MB
2. Downloading Many Files with Python/3. Storing Python code.srt5.72 kB
2. Downloading Many Files with Python/3. Storing Python code.vtt5.14 kB
2. Downloading Many Files with Python/4. Creating an FTP function.mp49 MB
2. Downloading Many Files with Python/4. Creating an FTP function.srt3.05 kB
2. Downloading Many Files with Python/4. Creating an FTP function.vtt2.79 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.mp451 MB
2. Downloading Many Files with Python/5. Downloading an FTP file.srt9.75 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.vtt8.82 kB
2. Downloading Many Files with Python/5.1 FtpPDFDownloader.py.py346.00 B
2. Downloading Many Files with Python/6. About the next lecture.html613.00 B
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp455 MB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.srt14.11 kB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.vtt12.81 kB
2. Downloading Many Files with Python/7.1 Ftp Downloader.py805.00 B
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp442 MB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.srt3.85 kB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.vtt3.50 kB
3. Extracting Data from Archive Files/1.1 Four Files Inside Extract Me.zip48.31 kB
3. Extracting Data from Archive Files/2. Extracting RAR files.mp49 MB
3. Extracting Data from Archive Files/2. Extracting RAR files.srt2.15 kB
3. Extracting Data from Archive Files/2. Extracting RAR files.vtt1.94 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp432 MB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.srt6.73 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.vtt6.12 kB
3. Extracting Data from Archive Files/3.1 Extractor.py1.21 kB
4. Working with TXT and CSV Files/1. Section introduction.mp414 MB
4. Working with TXT and CSV Files/1. Section introduction.srt1.86 kB
4. Working with TXT and CSV Files/1. Section introduction.vtt1.67 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp427 MB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.srt11.42 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.vtt10.40 kB
4. Working with TXT and CSV Files/2.1 Comma Separated.txt33.58 kB
4. Working with TXT and CSV Files/2.2 Space Separated.txt34.32 kB
4. Working with TXT and CSV Files/3. Reading Excel files.html612.00 B
4. Working with TXT and CSV Files/4. Exporting data from Python to files.mp421 MB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.srt4.79 kB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.vtt4.35 kB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.mp49 MB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.srt2.26 kB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.vtt2.12 kB
4. Working with TXT and CSV Files/5.1 Fixed Width.txt3 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.mp412 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.srt1.26 kB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.vtt1.15 kB
4. Working with TXT and CSV Files/7. Data Analysis Exercise 1.html11.55 kB
4. Working with TXT and CSV Files/7.1 Income-By-State-1984.xls.xls26.00 kB
4. Working with TXT and CSV Files/8. Data Analysis Exercise 1 Solution.html255.00 B
5. Getting Started with Pandas/1. Get started with Pandas.mp425 MB
5. Getting Started with Pandas/1. Get started with Pandas.srt7.63 kB
5. Getting Started with Pandas/1. Get started with Pandas.vtt6.92 kB
5. Getting Started with Pandas/1.1 SmallFile.csv.csv264.00 B
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp426 MB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.srt5.44 kB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.vtt4.96 kB
5. Getting Started with Pandas/2.1 Add Field.py1.59 kB
5. Getting Started with Pandas/2.2 All_Data_Files.zip.zip875.99 kB
5. Getting Started with Pandas/3. Data Analysis Exercise 2.html4.95 kB
5. Getting Started with Pandas/3.1 Income-By-State-1984.zip.zip461.00 B
5. Getting Started with Pandas/4. Data Analysis Exercise 2 Solution.html670.00 B
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp438 MB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.srt6.46 kB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.vtt5.87 kB
6. Merging Data/1.1 CSV_Files.zip.zip824.41 kB
6. Merging Data/1.2 Concatenator.py2.13 kB
6. Merging Data/2. Data Analysis Exercise 3.html3.20 kB
6. Merging Data/2.1 Income-By-State.zip.zip147.04 kB
6. Merging Data/3. Data Analysis Exercise 3 Solution.html1.52 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp440 MB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.srt9.33 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.vtt8.54 kB
6. Merging Data/4.1 Join.py2.57 kB
6. Merging Data/4.2 station-info.txt.txt3 MB
6. Merging Data/4.3 Concatenated.zip.zip815.49 kB
6. Merging Data/5. Data Analysis Exercise 4.html5.20 kB
6. Merging Data/5.1 Income-By-State-By-Year.zip.zip5.83 kB
6. Merging Data/6. Data Analysis Exercise 4 Solution.html912.00 B
6. Merging Data/7. Data Analysis Exercise 5.html4.60 kB
6. Merging Data/7.1 Two-Files-Inside.zip.zip5.20 kB
6. Merging Data/8. Solution 5 of 6.html372.00 B
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp448 MB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.srt8.77 kB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.vtt7.93 kB
7. Data Aggregation/1.1 Concatenated-Merged.zip.zip1,023.68 kB
7. Data Aggregation/1.2 Pivot.py2.88 kB
8. Visualizing Data/1. Data visualization with Python.mp423 MB
8. Visualizing Data/1. Data visualization with Python.srt13.32 kB
8. Visualizing Data/1. Data visualization with Python.vtt12.03 kB
8. Visualizing Data/2. More visualization techniques.mp471 MB
8. Visualizing Data/2. More visualization techniques.srt13.79 kB
8. Visualizing Data/2. More visualization techniques.vtt12.52 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp416 MB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.srt3.80 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.vtt3.43 kB
8. Visualizing Data/3.1 Plot.py3.06 kB
8. Visualizing Data/4. Data Analysis Exercise 6.html4.52 kB
8. Visualizing Data/4.1 US-States-Median-Income-Data.zip.zip5.09 kB
8. Visualizing Data/5. Data Analysis Exercise 6 Solution.html456.00 B
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp419 MB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.srt5.33 kB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.vtt4.83 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp457 MB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.srt8.49 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.vtt7.72 kB
9. Mapping Spatial Data/2.1 Kml.py3.46 kB



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