How to resolve TensorFlow 2.0 Error – Could not load dynamic library ‘cudart64_100.dll’

Recently I came across an issue while building ANN with TensorFlow 2.0, where IntelliJ complained about not being able to load the dynamic library ‘cudart64_100.dll’. The below instructions outline the approach for fixing the issue and would apply also to errors that refer to other NVIDIA GPU Computing Toolkit dynamic libraries, such as cufft64_100.dll, cufftw64_100.dll, cuinj64_100.dll, nppig64_100.dll,  nppim64_100.dll, nppist64_100.dll, nppisu64_100.dll, nppitc64_100.dll, npps64_100.dll, nppif64_100.dll, nppia164_100.dll or nppicc64_100.dll, all of which are part of the older version of CUDA platform for general computing on graphical processing units (GPUs) developed by NVIDIA . [Read more…]

Python: How to Create/Edit Windows Registries with Python 3.7

Just a short demo of how to go about creating/editing of Windows registry keys by using Python. This should be trivial, but as a matter of fact, not that many examples I could find online were working with Python 3.7. Below code should be pretty self-explanatory. Anyways, to put in in good use, let’s disable Cortana Assistant in Windows 10. If you have any questions about the process, just text me below.

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Visualizing JPEG Exif using Python: How to convert JPEG Meta-Data into Excel Travel Log and Google Map of All Visited Places

Over the past 20+ years, my family took tens of thousands of photos while visiting countries all around the world. As the years went by, the total number of stored images seems to grow every time we travel and even though we organize our images, sometimes it’s hard to recall when (exactly which year and month) we visited a specific place. Thinking about it, I realized that nowadays most photos are captured on smartphones or digital cameras that come equipped with GPS and automatically geotag each photo with GPS coordinates, as well as date and time of each image capture. That said, it shouldn’t be hard to convert the Exif information stored inside photo meta-data into easily readable Excel Travel Log, or too complicated to create a Google Map of all places I ever visited.

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How to create a spell check enabled MySQL query by leveraging SOUNDEX and Levenshtein Distance algorithms

Recently I came across a situation where I needed to perform the MySQL search in such way, that it would account for typos in user search queries. For example, if the database of words in MySQL contained only the word “assistance” and the user typed the misspelled word “asistence”, I had to be able to return the correct word “assistance” as a closest possible suggestion from the database. It seemed like a trivial task at first, but it took me quite a while to figure the SQL query that had a good balance between performance and overall quality of results.  [Read more…]

How to use Python global keyboard hooks (& SQLite) to automatically add foreign accents to any text typed in Windows/Linux

The following article presents the programming solution to automatically add the diacritics to unaccented words typed using a regular English keyboard. There are solutions for Chrome browser or Firefox, but I wanted to have this option everywhere, in any program on any OS. Hence I decided to code it in Python. In this short article, I demonstrate how to use global keyboard hooks and SQLite database in Python to automatically add Slovak accents (diacritics) to text typed to any program running under Windows or Linux. This example can be easily used to adjust the program to any other foreign language. [Read more…]

How to query and visualize Apache logs in Splunk with Python

Splunk Enterprise is presumably one of the best platforms for gaining real-time intelligence from data. The following short tutorial explains how to install Splunk server (on Windows or Linux server) and how to use Python to programmatically query Splunk and visualize Apache data by plotting them on a graph by using the Matplotlib library. In this post, show step by step, how to add Apache logs to Splunk, and illustrate how relatively easy is to use Python to query how much bandwidth was consumed by one of my websites (in the past week, in megabytes). [Read more…]