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Published in Towards Data Science

·Pinned

Are You Too Late to Start Your Data Science Journey?

I thought I was. — It has been almost three years since I took my first step into data science. When I first started, I thought I was too late. There were a lot of tools and concepts to learn, a ton of papers to read, countless certificates, and so on. What concerned me the…

Python

5 min read

Are You Too Late to Start Your Data Science Journey?
Are You Too Late to Start Your Data Science Journey?
Python

5 min read


Mar 20

A Simple Way to Compare Pandas DataFrames in Unit Tests

A single function for all your needs. Testing is a fundamental part of any software. Without a thorough testing process, no software product is deployed into production. Data analytics products also require testing. Let’s say you’re building a forecasting engine. No one can or should rely on the output of…

Data Science

4 min read

A Simple Way to Compare Pandas DataFrames in Unit Tests
A Simple Way to Compare Pandas DataFrames in Unit Tests
Data Science

4 min read


Published in Towards Data Science

·Mar 10

5 Functions is All You Need to Manage Your Data with dplyr

How to efficiently make your data ready-to-use — Those who have worked on real-life tasks with real-life data know that the bigger slice of pie belongs to data wrangling. What I mean by data wrangling covers operations done to make the data ready for other stakeholders or downstream processes. Whether you are a data analyst, data scientist, or…

Data Science

8 min read

5 Functions is All You Need to Manage Your Data with dplyr
5 Functions is All You Need to Manage Your Data with dplyr
Data Science

8 min read


Mar 5

5 Ways to Filter Data in R

A fundamental piece in data cleaning Python and R are the two key players in the data science ecosystem. While R is not as popular as Python, it is just as efficient and capable as R doing data manipulation and analysis, and even outperforms Python in some cases. In this…

Data Science

5 min read

5 Ways to Filter Data in R
5 Ways to Filter Data in R
Data Science

5 min read


Jan 4

4 Examples to Compare the Speed of Pandas and Vaex

Performance matters more as the data size increases. I admire Pandas. It’s one of the first tools I learned in my data science journey and I have been using it frequently ever since. Pandas was the only tool I needed to do data cleaning, manipulation, and analysis until I had…

Data Science

4 min read

4 Examples to Compare the Speed of Pandas and Vaex
4 Examples to Compare the Speed of Pandas and Vaex
Data Science

4 min read


Published in Towards Data Science

·Dec 31, 2022

2 Different Replace Functions of Python Pandas

And when to use which — Pandas is a highly efficient data analysis and manipulation analysis library for Python. Considering the dominance of Python in data science and the amount of data cleaning, manipulation, and analysis work, Pandas is one of the most widely-used tools in the field of data science. I have been using Pandas…

Data Science

6 min read

2 Different Replace Functions of Python Pandas
2 Different Replace Functions of Python Pandas
Data Science

6 min read


Published in Towards Data Science

·Dec 23, 2022

Improve Your SQL Skills Using Pure Python

Without having to install anything. — If you work in the field of data science, regardless of the job title or position, SQL is one of the most important skills you need to have. I would put it in the top 3 along with Python. When I first started learning data science, I found it a…

Data Science

5 min read

Improve Your SQL Skills Using Pure Python
Improve Your SQL Skills Using Pure Python
Data Science

5 min read


Published in Towards Data Science

·Dec 19, 2022

4 Techniques for Scaling Pandas to Large Datasets

Tips for increasing the efficiency — Pandas is one of the most frequently used tools in the data science ecosystem. It makes it quite easy to manipulate and analyze tabular data by providing numerous functions with an easy-to-understand syntax. While Pandas is on top of the competition in data analysis and manipulation, its performance starts to…

Artificial Intelligence

7 min read

4 Techniques for Scaling Pandas to Large Datasets
4 Techniques for Scaling Pandas to Large Datasets
Artificial Intelligence

7 min read


Dec 13, 2022

Create Your Dynamic Google Sheet for Stock Price Analysis with Python

A step-by-step tutorial with gspread and pandas-datareader — Google Sheets is a cloud-based spreadsheet program included in the Google Docs Editors suite. It’s free and all you need to use Google Sheets is a Google account. I have been using it for a few years and never felt the need to use Microsoft Excel in this period. In…

Data Science

5 min read

Create Your Dynamic Google Sheet for Stock Price Analysis with Python
Create Your Dynamic Google Sheet for Stock Price Analysis with Python
Data Science

5 min read


Published in Towards Data Science

·Dec 12, 2022

Python Tracebacks — Explained

A great helper for debugging — We rarely get a script running without any errors on the first try, which is absolutely normal when writing code. The important and sometimes challenging part is to fix these errors. The process of fixing the errors and making the script work as expected can take many iterations depending on…

Python

8 min read

Python Tracebacks — Explained
Python Tracebacks — Explained
Python

8 min read

Soner Yıldırım

Soner Yıldırım

20K Followers

Data Scientist | linkedin.com/in/soneryildirim/ | twitter.com/snr14

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