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SparklingFuture
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Приєднався 10 жов 2013
Hello Friends, I am Sravana and I have this channel specially for technical discussions. The channel has videos on Apache Spark with Scala , PySpark, Scala tutorials and Python tutorials and much more are in queue.
Data Structures and Algorithms | Day 16 - Doubly Linked List | Appending an element
Hi Friends,
In this video, I have explained Python code to append an element in a Doubly Linked List
github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list
Please subscribe to my channel for more interesting learnings.
In this video, I have explained Python code to append an element in a Doubly Linked List
github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list
Please subscribe to my channel for more interesting learnings.
Переглядів: 68
Відео
Data Structures and Algorithms | Day 15 - Doubly Linked List | Introduction | Coding Interview Prep
Переглядів 42Місяць тому
Hi Friends, In this video, I have explained about Doubly Linked List github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 14 - Linked List | Coding Interview Questions
Переглядів 482 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of reversing a index in a linked list in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 13 - Linked List | Coding Interview Questions
Переглядів 502 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of removing a new node based on index in a linked list in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 12 - Linked List | Coding Interview Questions
Переглядів 272 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of inserting a new node in a linked list in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 11 - Linked List | Coding Interview Questions
Переглядів 223 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of get and set methods in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 10 - Linked List | Coding Interview Questions
Переглядів 163 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of pop_first() method in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 9 - Linked List | Coding Interview Questions
Переглядів 153 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of prepend() method in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 8 - Linked List | Coding Interview Questions
Переглядів 1553 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and implementation of pop() method in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 7 - Linked List | Coding Interview Questions
Переглядів 433 місяці тому
Hi Friends, In this video, I have explained Linked Lists class and a few methods implementation in Python. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 6 - Linked List | Coding Interview Questions
Переглядів 863 місяці тому
Hi Friends, In this video, I have explained about Linked Lists. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 5 - Classifications | Python | Coding Interview Questions
Переглядів 573 місяці тому
Hi Friends, In this video, I have explained categories of DS. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 4 - Recursion | Python | Coding Interview Questions
Переглядів 363 місяці тому
Hi Friends, In this video, I have explained Recursion with example python code. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 3 - Analyzing Time Complexity | Python | Coding Interview Ques
Переглядів 893 місяці тому
Hi Friends, In this video, I have explained how to calculate the time complexity for the given Python code. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 2 - Big O | Python | Coding Interview Questions
Переглядів 1334 місяці тому
Hi Friends, In this video, I have explained Big O notation with examples and explained how to calculate the time complexity of an algorithm. github.com/sravanapisupati/SampleDataSet/blob/main/UA-cam_videos_list Please subscribe to my channel for more interesting learnings.
Data Structures and Algorithms | Day 1 - Introduction | Python | Coding Interview Questions
Переглядів 2434 місяці тому
Data Structures and Algorithms | Day 1 - Introduction | Python | Coding Interview Questions
Union, UnionAll, UnionByName in PySpark | Spark Interview Questions Series
Переглядів 56810 місяців тому
Union, UnionAll, UnionByName in PySpark | Spark Interview Questions Series
Where Vs Filter in Spark SQL | Spark Interview Questions
Переглядів 50810 місяців тому
Where Vs Filter in Spark SQL | Spark Interview Questions
map Vs flatMap in Apache Spark | Spark Interview Questions
Переглядів 82710 місяців тому
map Vs flatMap in Apache Spark | Spark Interview Questions
Various Serializations and usages - Part 2 | Spark / Bigdata Interview Questions | Theory
Переглядів 64911 місяців тому
Various Serializations and usages - Part 2 | Spark / Bigdata Interview Questions | Theory
Serialization & Deserialization in Spark - Part 1 | Spark / Bigdata Interview Questions | Theory
Переглядів 1,2 тис.11 місяців тому
Serialization & Deserialization in Spark - Part 1 | Spark / Bigdata Interview Questions | Theory
SparkContext Vs SparkSession in Apache Spark | Spark / Bigdata Interview Questions | Theory
Переглядів 54511 місяців тому
SparkContext Vs SparkSession in Apache Spark | Spark / Bigdata Interview Questions | Theory
DAG Vs Lineage in Apache Spark | Spark / Bigdata Interview Questions | Theory
Переглядів 2,3 тис.11 місяців тому
DAG Vs Lineage in Apache Spark | Spark / Bigdata Interview Questions | Theory
Directed Acyclic Graph (DAG) | Apache Spark | Spark / Bigdata Interview Questions | Theory
Переглядів 1,1 тис.11 місяців тому
Directed Acyclic Graph (DAG) | Apache Spark | Spark / Bigdata Interview Questions | Theory
Executing Hive queries from Spark | Apache Spark | Interview Questions | Theory
Переглядів 327Рік тому
Executing Hive queries from Spark | Apache Spark | Interview Questions | Theory
Partitioning and Bucketing in Hive - Part 2 | Bigdata Interview Questions
Переглядів 241Рік тому
Partitioning and Bucketing in Hive - Part 2 | Bigdata Interview Questions
Partitioning and Bucketing in Hive - Part 1 | Bigdata Interview Questions
Переглядів 501Рік тому
Partitioning and Bucketing in Hive - Part 1 | Bigdata Interview Questions
Behavior-Driven Development (BDD) | Behave with Python
Переглядів 287Рік тому
Behavior-Driven Development (BDD) | Behave with Python
Caching and Broadcasting | Apache Spark | Interview Questions
Переглядів 694Рік тому
Caching and Broadcasting | Apache Spark | Interview Questions
Splitting DF single row to multiple rows based on range columns | PySpark | Realtime Scenario
Переглядів 545Рік тому
Splitting DF single row to multiple rows based on range columns | PySpark | Realtime Scenario
a small correction i think --num-executors is across all nodes in cluster so it should not be 3 it should be 3 * 5 = 15
Thank you for this very useful video!
Baaga chepparu madam It helped me a lot
@@NarutoUzumaki-zv4wm Thanks a lot.
If i want add double headers how can we proceed
@@U1-rz3qm please share some examples
everything is good, is there any git link for these it will help everyone ????
thanks so much for your help mam
Appreciate your efforts mam
@@maheshchandrar8448 Thanks a lot ☺️
Very helpful and well explained all the exercises!
Crystal clear explanation
@@RajKumar-zw7vt Thank you 😊
could not understand the lambda function in reduce in line 10.
HI Mam, thanks for the video. Here i have 1 doubt that for big size table where rows and column count are large and the result i want to show the actual value (no True false) then how to deal with that. Thank you.
Your contents are good
Nice explanation Sravana
Nice explanation sravana 👌 👍 👏
Thank you Sravan...
Good evening madam can you please give me how to write a star(⭐) program in scala
@aparnakatika1822 please give more details about the question. Are you talking about the star pattern code? Please use and tweak thr below as per your requirement. If its not, please give me the expected output. object PyramidPattern { def main(args: Array[String]): Unit = { val numberOfRows = 5 for (i <- 1 to numberOfRows) { // Print leading spaces for (j <- 1 to numberOfRows - i) { print(" ") } // Print stars for (k <- 1 to 2 * i - 1) { print("*") } println() } } }
Much needed for interviews, Thanks for sharing sravana.
Thanks for sharing..)
^[\w*]$ will match a string consisting of a single character, where that character is alphanumeric (letters, numbers) an underscore (_) or an asterisk (*).
The last part from the video was confusing... The regular expression. Can you please make a video on regular expression...
Thanks for sharing Sravana
Nice explanation sravana 👌 👍 👏
Thanks for sharing Shravana..)
I'm a beginner to this python language..ur explanation is simply gud
How 1TB is equals to 84 lakhs block, when each block is 128 MB.?
Actually it's: Thank you. Consider each hadoop block size as 128MB. 1TB = 1000000 MB 128MB = 1 block 1000000 /128 = 7813 blocks.
@@sravanalakshmipisupati6533 it’s not 84 lakhs na. You said its around 84 lakhs block. Am I right or missing something? 1TB =1048576 MB 1048576/128 MB= 86317 block Its 86thousand 3hundred and 17 block
@@Amarjeet-fb3lk yes, you are correct.
Super helpful. Helped me on my work.
Thank you
Superb explanation Sravana 👌 👏 👍
Thanks Sravan.
Insightful, thanks for sharing Shravana.
Thanks Venu 😊
Nice explanation sravana, very useful 👌 👍 👏
Thanks Sravan...
Great work and initiative...but I am bit confused, did u consider the list as already sorted or we sorted it in the code, if so then we have completely ignored the sorting process in our complexity right?
Thank you. Yes, the complexity will be changed based on the order of the list.
Thanks for the videos Sravana, very informative..)
Thanks a lot for the feedback.
You have nailed it . Would be looking to connect with you over Linkedin pls share your LinkedIn profile link
@kubersharma1971 Thank you. www.linkedin.com/in/sravana-lakshmi-pisupati-b2b6478a
Nice explanation Sravana 👌 👍 👏
Thank you Sravan.
Very informative, thanks for the video
First view..😅
Will this work if 2 dataframes have different number of rows?
We can tweak the method a little to have the columns filter for comparison.
I need help.. I will pay .. need assistance
Hi, Please share me your queries at sravana.pisupati@gmail.com
Thank you so much for this! For the record, you have a lovely speaking voice.
java.io.FileNotFoundException: Could not locate Hadoop executable: C:\Hadoop\bin\winutils.exe -see wiki.apache.org/hadoop/WindowsProblems at org.apache.hadoop.util.Shell.getQualifiedBinInner(Shell.java:619) at org.apache.hadoop.util.Shell.getQualifiedBin(Shell.java:592) at org.apache.hadoop.util.Shell.<clinit>(Shell.java:689) at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:79) at org.apache.hadoop.conf.Configuration.getBoolean(Configuration.java:1691) at org.apache.hadoop.security.SecurityUtil.setConfigurationInternal(SecurityUtil.java:104) at org.apache.hadoop.security.SecurityUtil.<clinit>(SecurityUtil.java:88) at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:312) at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:300) at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:575) at org.apache.spark.util.Utils$.$anonfun$getCurrentUserName$1(Utils.scala:2539) at scala.Option.getOrElse(Option.scala:201)
Excellent
Its long method, we can obly use split+ explode to solve this if any one wants the answer will post here
Sure, thanks
I have doubt if dag ha fault toranlence why lineage
Insightful, thanks for sharing..)
video is not clear , please make it little clear
good effort , when i tried with unionByName between df1 & df3 i got duplicate records please check and let me know your commends
Regarding duplicates, unionByName does not inherently remove duplicates. However, if you want to remove duplicates after performing the union, you can use the dropDuplicates() function.
Can u please provide the dataset as it is not there link you git repo.
github.com/sravanapisupati/SampleDataSet/blob/main/xml_data.csv Thanks for watching the video. Please find the link for the dataset.
Thank you so much :) @@sravanalakshmipisupati6533
Hey Sravana need your help in flattening one complex xml file
Please see if this is useful to you - ua-cam.com/video/qkiz53baIks/v-deo.htmlsi=3-m2lQDybWyjCzI7
Nice explanation ..appriciated madam
Explained in a very clear manner. Thanks.
Thanks
Thank you