Plus, many games are simply not compatible with the Mac operating system. For the price of a Macbook (which certainly couldn’t run the latest game titles), you can pick up a PC computer with the hardware needed to run modern games. Computer games are becoming more advanced, and require a large amount of space and top-of-the-range graphics cards. Macs, on the other hand, have an almost universal price, so you’re less likely to get a good deal.

There are also thousands of PC computers sold at thousands of retailers, so there is a ton of variation when it comes to price. When you purchase a PC laptop or desktop computer, you get a lot more bang for your buck in terms of hardware. Here are 10 reasons PCs are better than Macs. Today, we’re going to argue in favour of the PC. Read our blog post 10 Reasons Macs are Better than PCs for the other side of the story.

You could make a solid argument either way.

R is very easy to install (check my repo here).The age-old debate: are PCs better than Macs? Python comes installed by default on most (probably all) Linux systems. Both have a huge user base, documentation & user base. The main difference is that R is not a general programming language like Python, rather its a statistical one. I use R and plan to learn Python in the future. Some tools used in Data Science & Analytics: R/Python, Rstudio/Ipython, Git, Github, TerminalĪs for the language: R & Python are competing indirectly on which is best. If you need help with this I'd be glad to support you. What I suggest is installing a Linux distro (go with Ubuntu if you're new) and during installation tell it to encrypt your HDD. MACS are nice but I don't use them because they limit the user (just like Windows is too).Īs for security, no system is fully secure. I personally use a PC but with Ubuntu/Linux. I have to tell you that a PC vs a MAC is not important. What matters most is knowing the tools to use as well as having hacking skills (not in cracking bit in installing software & working with the command line) as well as knowing how to use those tools.

Windows vs mac for big data