PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users across all the various domains of ...
This a group for anyone interested in developing applications for Android. I started this group to meet like minded individuals and to help others start developing for Android. Looking forward to making great apps
The Cape Town Python Users' Group.
We hold regular meetings to discuss various aspects of python - interesting modules and projects, recent developments and so forth. There are regular Python Hack-nights, where people can get together and work on various python projects and ask more experienced developers for help and guidance with learning the language.
We also organise regular sprints o...
The Jozi Java User Group (Jozi-JUG) is a Java User Group which meets monthly on the last Monday of every month in and around the Johannesburg area.
The Jozi Java User Group is for those who are interested in physically meeting to discuss Java and related technologies. Anyone is welcome, no matter where you live, age and skill level!
Please, this is for those who program...
The South African AI Meetup. Dedicated to helping the community learn and get hands on experience with AI development and research. No experience or knowledge about AI required. Just some basic programming skills and eagerness to learn! Each month we will have a short talk followed by a hackathon for everyone to collaborate, learn, and experiment with AI technologies.
There are a number of popular BI tools in the market at the moment, all of which have a defined set of strengths and differences. However, suitability of the tools is largely dependent on their use.
SQL and noSQL do the same thing: store data. However, comparing them is like saying speed boats were superseded by cars because they're a newer technology.
In a comparison between a Date Lake and Data Warehouses, we see that Data Warehouses are ideal for operational users due to their structure and ease of use, but Data Lakes provide the ability for data discovery.
In a recent analysis of the three top big data providers; Hortonworks, Cloudera and MapR, we see that their approach to the Hadoop stack framework differs quite significantly. What this means for your big data management will depend on your needs, as outlined below:
.NET Developer, Engineer