| def find_next_prime(n): | |
| n+=1 | |
| for i in range(2, n): | |
| if n%i == 0: | |
| n += 1 | |
| else: | |
| print n | |
| pass | |
| find_next_prime(6) |
| server { | |
| listen 80; | |
| server_name localhost; # Change this with your domain name | |
| root /usr/share/nginx/html; # The place were you have setup your Grav install; | |
| index index.php; | |
| error_page 500 502 503 504 /50x.html; | |
| location = /50x.html { | |
| root html; |
| function multiplyByThree(array) { | |
| var multiplier = 3; | |
| // Handle undefined or null inputs | |
| if (!array) { | |
| throw new Error("Argument is undefined or null"); | |
| } | |
| // Handle non-array inputs | |
| if (!Array.isArray(array)) { |
| sample = ['GTA','GGG','CAC'] | |
| def read_dna(dna_file): | |
| dna_data = '' | |
| with open(dna_file, 'r') as f: | |
| for line in f: | |
| dna_data += line | |
| return dna_data | |
| DB: https://lagunita.stanford.edu/c4x/DB/SQL/asset/moviedata.html | |
| For all cases where the same reviewer rated the same movie twice and gave it a higher rating the second time, return the reviewer's name and the title of the movie. | |
| SELECT name, title | |
| FROM movie, reviewer, | |
| (SELECT rating1.rID, rating1.mID | |
| FROM rating rating1, rating rating2 | |
| WHERE rating1.rID = rating2.rID | |
| AND rating1.mID = rating2.mID |
| # Year -- the year the data in the row is for. | |
| # WHO Region -- the region in which the country is located. | |
| # Country -- the country the data is for. | |
| # Beverage Types -- the type of beverage the data is for. | |
| # Display Value -- the number of liters, on average, of the beverage type a citizen of the country drank in the given year. | |
| # Use the csv module to read world_alcohol.csv into the variable world_alcohol. | |
| # You can use the csv.reader method to accomplish this. | |
| # world_alcohol should be a list of lists. | |
| # Extract the first column of world_alcohol, and assign it to the variable years. |
| """This is the entry point of the program.""" | |
| def _is_prime(number): | |
| # import ipdb; ipdb.set_trace() | |
| for n in range((number - 1), 1, -1): | |
| if number % n == 0: | |
| return False | |
| return True |
| column_list = food_info.columns.tolist() | |
| gram_columns = [col for col in column_list if col.endswith('(g)')] | |
| gram_df = food_info[gram_columns] | |
| gram_df.head(3) |
| status_code_example = requests.get('http://api.open-notify.org/iss-pass.json').status_code | |
| params = {'lat': 37.78, 'lon': -122.41} | |
| response = requests.get('http://api.open-notify.org/iss-pass.json', params=params) | |
| content = response.content | |
Will use https://github.com/pcmanus/ccm
CCM needs 2.7, new venv and install (ccm installs pre-reqs)
mkvirtualenv -p /usr/local/bin/python2.7 datastax
pip install ccm
pip install cassandra-driver
Use this version, even though 3.9 is latest, this one is on the installation page
ccm create test -v 3.6