Using Python to mine Tweets from Twitter API and map them

General information for the business: Dissertation research
Description of requirements/functionality: The help I need is writing the code and using it to interact with Twitter's API to create maps which I can then use as data sources for my dissertation topic. I know this is possible from the link here, but I don't have the knowledge it assumes or the skills needed. From here I will then go on to do the socioeconomic analysis which will form the dissertation, but i cant access the means of acquiring the data I need.

I am a Geography student who is currently trying to conduct research on using geotagged tweets to infer socioeconomic information about users in relation to the subjects that they discuss on twitter. This requires me to create maps of tweets which include certain hashtags, in an attempt to find what topics are being discussed from which areas. I found a step by step guide which attempts to use Twitter API to do this (link below) but due to my complete lack of coding experience I have found it impossible to follow. I was therefore hoping for some help in making these maps.

The tweets I am interested in will have been sent between 6-8am and 7pm-2am on Tuesday and Wednesday evenings in London. These day and time constraints are an attempt to find tweets sent from a Twitter users home address and whilst not perfect are in line with studies which have previously attempted to do similar things, whilst London is an attempt to make the maps manageable for me when i come to do the socioeconomic analysis. I think there will have to be several days worth of tweets collected in order to get a reasonable number of tweets collected but this will become clearer later in the process I guess. The hashtags involved will be car companies, as these are aspirational products with loyal fan bases and vastly different price tags (all useful for the socioeconomic analysis) and therefore hopefully a widespread topic for discussion. All of the tweets will need to have had location enabled when they were posted.

https://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/

https://marcobonzanini.com/2015/06/16/mining-twitter-data-with-python-and-js-part-7-geolocation-and-interactive-maps/
OS requirements: Windows
Extra notes: