Linkedin - Pandas Code Challenges

Torrent Details


Linkedin - pandas Code Challenges

NAME
Linkedin - pandas Code Challenges.torrent
CATEGORY
Other
INFOHASH
d4221632c7809d5b698342245d865408193734da
SIZE
246 MB in 41 files
ADDED
Uploaded on 10-04-2022 by our crawler pet called "Spidey".
SWARM
0 seeders & 0 peers
RATING
No votes yet.

Please login to vote for this torrent.


Description

[ DevCourseWeb.com ] pandas Code Challenges



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 23m | Size: 245.9 MB



Want to test your pandas skills? These concise challenges let you stretch your brain and test your talents. Instructor Harshit Tyagi shares over a dozen pandas challenges, as well as his own solutions to each problem. Harshit’s challenges cover: Reading files and initial exploration of data using pandas attributes; data cleaning; creating subsets of data using indexing and slicing; writing queries to filter out rows based on conditional statements and Boolean indexing; and grouping and aggregation to answer categorical questions. Learn to apply statistical functions to groups. And since each challenge is self-contained, you can complete the course in any order—and at your own pace. Tune in to get the hands-on practice you need to keep your skills sharp.



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



Get More Tutorials and Support Us -->> https://FreeCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



Image error



Image error

Discussion

Comments 0

Post Your Comment

Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/01 - Stretch and test your knowledge with pandas code challenges.mp411.9 MB
~Get Your Files Here !/01 - Introduction/01 - Stretch and test your knowledge with pandas code challenges.srt1.8 KB
~Get Your Files Here !/01 - Introduction/02 - What you should know.mp45.1 MB
~Get Your Files Here !/01 - Introduction/02 - What you should know.srt2.8 KB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/01 - Read data from CSV and Excel files.mp410.9 MB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/01 - Read data from CSV and Excel files.srt6 KB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/02 - Check DataFrame information and identify types of columns.mp410 MB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/02 - Check DataFrame information and identify types of columns.srt5.4 KB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/03 - The summary statistics of numerical and categorical features.mp411.4 MB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/03 - The summary statistics of numerical and categorical features.srt6.7 KB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/04 - Add new columns to a DataFrame.mp411.6 MB
~Get Your Files Here !/02 - 1. Reading and Initial Exploration of Data/04 - Add new columns to a DataFrame.srt5.9 KB
~Get Your Files Here !/03 - 2. Indexing and Slicing/01 - Select specific columns in a DataFrame.mp413.3 MB
~Get Your Files Here !/03 - 2. Indexing and Slicing/01 - Select specific columns in a DataFrame.srt6.2 KB
~Get Your Files Here !/03 - 2. Indexing and Slicing/02 - Subset the data from labels using .loc[] method.mp415.4 MB
~Get Your Files Here !/03 - 2. Indexing and Slicing/02 - Subset the data from labels using .loc[] method.srt7.2 KB
~Get Your Files Here !/03 - 2. Indexing and Slicing/03 - Subset the data from indexing using .iloc[] method.mp410.7 MB
~Get Your Files Here !/03 - 2. Indexing and Slicing/03 - Subset the data from indexing using .iloc[] method.srt4.8 KB
~Get Your Files Here !/04 - 3. Data Cleaning/01 - Check for missing values.mp419.2 MB
~Get Your Files Here !/04 - 3. Data Cleaning/01 - Check for missing values.srt11.1 KB
~Get Your Files Here !/04 - 3. Data Cleaning/02 - Correct the data type of a column.mp415.9 MB
~Get Your Files Here !/04 - 3. Data Cleaning/02 - Correct the data type of a column.srt7.6 KB
~Get Your Files Here !/04 - 3. Data Cleaning/03 - Parse dates in time series data.mp418.6 MB
~Get Your Files Here !/04 - 3. Data Cleaning/03 - Parse dates in time series data.srt10.9 KB
~Get Your Files Here !/05 - 4. Filtering Data/01 - Write conditional statements to filter rows.mp47.7 MB
~Get Your Files Here !/05 - 4. Filtering Data/01 - Write conditional statements to filter rows.srt3.1 KB
~Get Your Files Here !/05 - 4. Filtering Data/02 - Chain multiple conditionals to narrow down the search.mp412.3 MB
~Get Your Files Here !/05 - 4. Filtering Data/02 - Chain multiple conditionals to narrow down the search.srt6 KB
~Get Your Files Here !/05 - 4. Filtering Data/03 - Using bitwise operators to filter rows.mp411.9 MB
~Get Your Files Here !/05 - 4. Filtering Data/03 - Using bitwise operators to filter rows.srt5.8 KB
~Get Your Files Here !/05 - 4. Filtering Data/04 - Filtering to find target demography.mp412.2 MB
~Get Your Files Here !/05 - 4. Filtering Data/04 - Filtering to find target demography.srt6.1 KB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/01 - Apply the three-step process to group and aggregate data.mp412.1 MB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/01 - Apply the three-step process to group and aggregate data.srt5.8 KB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/02 - Group and aggregate multiple columns.mp47.7 MB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/02 - Group and aggregate multiple columns.srt3.9 KB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/03 - Apply a custom aggregate function.mp412.6 MB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/03 - Apply a custom aggregate function.srt6.9 KB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/04 - Calculate stock returns for every year since 2003.mp415.2 MB
~Get Your Files Here !/06 - 5. Grouping and Aggregation/04 - Calculate stock returns for every year since 2003.srt7.4 KB
~Get Your Files Here !/Bonus Resources.txt386 B

Alternative Torrents for 'Linkedin pandas Code Challenges'.

There are no alternative torrents found.