Create a program or script for Python / Notepad++ or another application for data filtering.

Budget: 4000 UAH Deadline: 3 days

I have experience in similar Data Science projects where it is necessary to read and process millions of rows. I specialize in Python development and am ready to develop a program for you for reading + a GUI interface for filtering and displaying data. I can work with various file formats such as txt, csv, xlsx, json, or others.

I am ready to offer the following solution:
- a custom Python program for quickly reading csv or txt files using pandas/polars;
- we can consider options for changing file formats before processing to speed up reading or processing (to csv, or importing into a database);
- a convenient GUI interface through PyQT/tkinter with filtering and visualization of data;
- export to any format upon completion of processing;

Write to me, we can discuss any unclear points and start development!

Budget: 5000 UAH Deadline: 3 days

Hello! This is a very interesting and classic task in the field of data processing. You are absolutely right: text editors, even powerful ones like Notepad++, are not designed for processing and filtering data. They can display a file by quickly reading it in parts, but any "Find" or "Filter" operation will cause it to freeze.

The problem you are facing is a lack of RAM (Random Access Memory). 20 million lines is too much to load them into memory all at once for analysis.

The solution I propose will not freeze and will handle this task.

Budget: 5000 UAH Deadline: 1 day

I carefully read your technical specification and recommend that you transfer all data from the CSV files to the database because it will be the easiest way to do everything you need. Alternatively, you need to write Python scripts for this task.

It is also very difficult to assess the work without seeing the structure of the files. Is the structure the same for all or different? Can you send a couple of files for review?

I am ready to perform everything with quality.
Feel free to contact me.

Budget: 1000 UAH Deadline: 1 day

Hello, I worked on the "Folder" Project: processed CSV files with over 15 million rows, optimized filtering and export to XLSX.

How do you want to prioritize processing the rows: in order or selectively, to ensure speed and convenience?

I suggest we get in touch, I will provide you with a free consultation on the technical side and we will create a development plan + I will tell you about my team!

Budget: 4500 UAH Deadline: 3 days

Great request — I have a ready technical approach that can handle 10–20 million rows without lag and provides fast filters + export.

What I will do
I will open large CSV/TXT files without lag: line-by-line/columnar loading and lazy reading (without fully reading into memory).
Instant filtering by: city, age, date of birth, any fields (multi-filters, AND/OR, contains/equals/ranges).
Selection of N rows (in order or randomly) — for example, exactly 500.
Export to CSV or Excel (XLSX).
Marking "used" rows: we do not take them again; if there are not enough, I will suggest "adding" from already used ones with an indication of how much to add.
Very fast viewing of large files with pagination (virtual table, non-blocking UI).

How it will work (under the hood)
Python + Polars/DuckDB for processing 10–20 million rows with streaming and predicate pushdown.
Desktop application (PySide6/Qt): table with virtual page loading, instant filters, saved presets.
Index of "used" rows — a separate lightweight database (SQLite) with keys by file and offsets/hashes: we do not rewrite the huge file, but remember what we have already given out.
Random selection — deterministic/truly random sampling (of choice).
TXT — parsed by delimiter or by pattern (I will set a default, can be changed in settings).

Advantages of my approach
Does not crash on files with 10–20 million rows (streaming/lazy loading).
Filters are very fast (reading only the necessary columns).
"Used" rows are marked without rewriting the source.
Ready for growth: later, indexes can be added, conversion to Parquet for ultra-speed.
What you will get
.exe/.app (portable build) + source files.

Simple interface:
1) Open file - 2) Select filters - 3) Specify "500, order/random" - 4) Save CSV/XLSX.
Action log and repeat last scenario launch.

A little about me
Python developer, I create fast data tools and bots. I have experience with Flask/integrations and processing large data.

Ready to start immediately. If you send a sample of a large CSV/TXT (or a column schema) — I will assemble a test demo build for your cases. Expand

Budget: 4500 UAH Deadline: 3 days

Good day. I am engaged in development in Python. I can develop a program for you for convenient and fast processing of large CSV files, stack: Python + Pandas + SQLite + graphical interface through Streamlit (perfectly suited for data processing). Write to me - we will discuss the details and I will immediately start working.

Budget: 5000 UAH Deadline: 3 days

Hello. I am ready to complete your project. Write to me and we will discuss the details.

Budget: 5000 UAH Deadline: 12 days

Good day, it will be possible to create a small program with a graphical interface and the ability to select any file and filter it, I can arrange this for you in Python+PyQt5.

Budget: 5000 UAH Deadline: 7 days

I will do it in C++, it will work independently of Sublime, Notepad, or anything else. Contact me to discuss the details of the task.

Budget: 5000 UAH Deadline: 3 days

Hello 👋🏻
I am ready to develop a program in Python for processing large CSV and TXT files (up to tens of millions of rows) without freezing.
The script will open files line by line, filter data based on necessary criteria (city, age, date of birth, etc.), consider row limits (for example, 500), mark already used records, and suggest additional entries if there is a shortage.
Results are saved in Excel or CSV, with the possibility of re-filtering without overlaps.
I use streaming processing and memory optimization (pandas/polars, chunksize) to ensure everything works quickly even on a weak PC.
The deadline is 3–5 days, and the cost is 5,000 UAH.
I am ready to discuss the details and show a demo example. 💻

Budget: 5000 UAH Deadline: 5 days

Hello! I am ready to implement your project in Python.
I can create an application that opens large CSV/TXT files (10–20 million rows) without freezing, supports filtering by city, age, date of birth, etc., with the option to select the number of rows (in order or randomly).
I will also implement marking of used rows, reusing when data is insufficient, and saving in CSV or Excel.
I would like to clarify the details — file format, data examples, and desired interface.

Budget: 1200 UAH Deadline: 2 days

Hello, Igor!
I would like to ask you a couple of questions that interest me for working with such a project brief. It would also be good to see an approximate structure of the files, to hear what types of files you need, and so on.
I will be waiting!

Budget: 2000 UAH Deadline: 1 day

Good evening, Igor!
In general, the task is clear, but for an accurate response regarding deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.

Budget: 4000 UAH Deadline: 1 day

Hello! I am ready to complete this project and have extensive experience in developing various applications.

Budget: 3000 UAH Deadline: 30 days

I can write in Python or Bash, possibly with a web interface,

many years of experience in processing text files and others,

Budget: 777 UAH Deadline: 2 days

I will consider an example of the file, I will propose a specific software implementation.

Budget: 1500 UAH Deadline: 2 days

Good day. I have extensive experience with such tasks. I will create filters and save in any format. I need a more detailed technical specification and a sample of the data. I will be happy to help.

Budget: 995 UAH Deadline: 1 day

My name is Roman, and I am in the top 5 developers in the category of "Artificial Intelligence and Machine Learning" among ~1600 specialists on the platform. I guarantee: - Fast and quality execution of the task - Clear adherence to deadlines - Regular communication throughout the entire process I would be happy to discuss the details of your project in private messages.