Mikulskibartosz.name recives any estimated n/a unique visitors and n/a unique page views per day. Revenue gained from these much visits may be n/a per day from various advertising sources. The estimated worth of site is n/a.
- Website Age
n/a
- Alexa Rank no-data
- Country
United States
- IP Address
13.226.217.11
google ads
HTML SIZE INFORMATION
Text / Code Ratio
11.01 %
mikulskibartosz.name has a website text/code ratio of 11.01 %. Search engine crawlers tend to not pick up pages with inadequate content.
IMPORTANT HTML TAGS AND COUNTS
Titles
- H11
- H218
- H30
- H415
- H50
- H60
H1
| No |
Text |
| 1 |
Bartosz mikulski |
H2
| No |
Text |
| 1 |
Featured |
| 2 |
How to train a reinforcement learning agent using tensorflow agents |
| 3 |
How to deal with underf****ing and overf****ing in deep learning |
| 4 |
How to split a list inside a dataframe cell into rows in pandas |
| 5 |
Monte carlo simulation in python |
| 6 |
All stories |
| 7 |
The problem with software testing in data engineering |
| 8 |
How does kafka connect work? |
| 9 |
Why my airflow tasks got stuck in "no_status" and how ı fixed it |
| 10 |
What is kafka log compaction, and how does it work? |
| 11 |
How does a kafka cluster work? |
| 12 |
Athena performance tips explained |
| 13 |
Data flow - what functional programming and unix philosophy can teach us about data streaming |
| 14 |
Aws ıam roles and policies explained |
| 15 |
How to be happy at work - lessons learned from "career superpowers" book |
| 16 |
How to send metrics to aws cloudwatch from custom python code |
| 17 |
How to unit test pyspark |
| 18 |
How to speed up a pyspark job |
H4
| No |
Text |
| 1 |
The reinforcement learning loop with tensorflow agents |
| 2 |
The lessons learned from andrew ng’s online course |
| 3 |
Step by step instructions to "explode" a list into dataframe rows. |
| 4 |
How to make business decisions using the monte carlo simulation? |
| 5 |
What if we found a bug in our data pipelines? what if that bug were easy to fix, but it would require a lot of time spent backfilling the data?... |
| 6 |
ın this article, ı am going to describe the internals of kafka connect, explain how it uses the sink and source connectors, and how it tracks the offsets of the... |
| 7 |
A story about debugging an airflow dag that was not starting tasks |
| 8 |
How the log compaction is implemented in apache kafka and how to configure it properly |
| 9 |
What is the difference between a leader and a replica broker? what is the cluster controller? how is the controller elected? |
| 10 |
How to use query execution plans to speed up athena queries |
| 11 |
What does stream processing have in common with functional programming and unix? |
| 12 |
ın this article, ı am going to explain the essential parts of ıam and describe how to grant permissions to your users or aws lambda functions you wrote. |
| 13 |
ın this article, ı share the lessons ı learned from james whittaker’s book “career superpowers: succeeding on purpose.” |
| 14 |
Recently, ı came across an interesting problem: how to speed up the feedback loop while maintaining a pyspark dag. of course, ı could just run the spark job and look... |
| 15 |
ı had a spark job that occasionally was running extremely slow. on a typical day, spark needed around one hour to finish it, but sometimes it required over four hours.... |
Text Styling
- STRONG0
- B0
- EM0
- I0
- U0
- CITE0
LINK ANALYSIS
Total Link Count: 104
Internal Link Count
: 99
| No |
Text |
Type |
| 1 |
Consulting |
text |
| 2 |
Speaker |
text |
| 3 |
Bartosz Mikulski |
text |
| 4 |
How to train a Reinforcement Learning Agent using Tensorflow Agents |
text |
| 5 |
The reinforcement learning loop with Tensorflow Agents |
text |
| 6 |
Bartosz Mikulski |
text |
| 7 |
#Reinforcement learning |
text |
| 8 |
#TensorFlow |
text |
| 9 |
How to deal with underf****ing and overf****ing in deep learning |
text |
| 10 |
The lessons learned from Andrew Ng’s online course |
text |
| 11 |
Bartosz Mikulski |
text |
| 12 |
#Deep learning |
text |
| 13 |
How to split a list inside a Dataframe cell into rows in Pandas |
text |
| 14 |
Step by step instructions to "explode" a list into DataFrame rows. |
text |
| 15 |
Bartosz Mikulski |
text |
| 16 |
#Data Science |
text |
| 17 |
Monte Carlo simulation in Python |
text |
| 18 |
How to make business decisions using the Monte Carlo simulation? |
text |
| 19 |
Bartosz Mikulski |
text |
| 20 |
#Data Science |
text |
| 21 |
The problem with software testing in data engineering |
text |
| 22 |
What if we found a bug in our data pipelines? What if that bug were easy to fix, but it would require a lot of time spent backfilling the data?... |
text |
| 23 |
Bartosz Mikulski |
text |
| 24 |
#Data Engineering |
text |
| 25 |
#Software Craft |
text |
| 26 |
How does Kafka Connect work? |
text |
| 27 |
In this article, I am going to describe the internals of Kafka Connect, explain how it uses the Sink and Source Connectors, and how it tracks the offsets of the... |
text |
| 28 |
Bartosz Mikulski |
text |
| 29 |
#Apache Kafka |
text |
| 30 |
#Data Engineering |
text |
| 31 |
Why my Airflow tasks got stuck in "no_status" and how I fixed it |
text |
| 32 |
A story about debugging an Airflow DAG that was not starting tasks |
text |
| 33 |
Bartosz Mikulski |
text |
| 34 |
#Airflow |
text |
| 35 |
#Data Engineering |
text |
| 36 |
What is Kafka log compaction, and how does it work? |
text |
| 37 |
How the log compaction is implemented in Apache Kafka and how to configure it properly |
text |
| 38 |
Bartosz Mikulski |
text |
| 39 |
#Apache Kafka |
text |
| 40 |
#Data Engineering |
text |
| 41 |
How does a Kafka Cluster work? |
text |
| 42 |
What is the difference between a leader and a replica broker? What is the cluster controller? How is the controller elected? |
text |
| 43 |
Bartosz Mikulski |
text |
| 44 |
#Apache Kafka |
text |
| 45 |
#Data engineering |
text |
| 46 |
Athena performance tips explained |
text |
| 47 |
How to use query execution plans to speed up Athena queries |
text |
| 48 |
Bartosz Mikulski |
text |
| 49 |
#AWS |
text |
| 50 |
#Data Engineering |
text |
External Link Count
: 5
| No |
Text |
Type |
| 1 |
- |
empty |
| 2 |
- |
empty |
| 3 |
- |
empty |
| 4 |
- |
empty |
| 5 |
Mediumish Jekyll Theme |
text |
Nofollow Link Count
: 0
Title Link Count
: 0
WEBSITE SERVER INFORMATION
- Service Provider (ISP)
- Amazon.com, Inc.
- Hosted IP Address
- 13.226.217.11
- Hosted Country
United States
- Host Region
- California , Los Angeles
- Latitude and Longitude
- 34.0522 : -118.244
WEBSITES USING THE SAME IP ADDRESS
WEBSITES USING THE SAME C CLASS IP