>> HOPE YOU CAN HEAR ME ALL RIGHT. 
HELLO, MY NAME IS JEN STIRRUP AND 
WE ARE GOING TO TALK TODAY ABOUT 
AS AZURE NOTEBOOKS. YOU SHOULD SAY 
THAT PEOPLE ARE PROBABLY WONDERING 
WHERE THE ACCENT IS FROM. I'M SCOTTISH 
AND THIS TIME OF THE AFTERNOON AFTER 
LUNCH I'M MOST LIKELY TO SEND YOU 
TO SLEEP THAN ANYTHING ELSE, IT 
IS QUITE WARM IN HERE, DARK, COZY, 
SO HOPEFULLY YOU WILL GET SO EXCITED 
ABOUT AZURE NOTEBOOKS SO DON'T HAVE 
TOO MANY PEOPLE SNORING. IF ANYONE 
HAS QUESTIONS AS WE GO ALONG I WILL 
BE HAPPY TO TAKE THEM AND SEE FEW 
ROSE FROM THE FRONT SO PEOPLE THROUGHOUT 
THE BACK AND QUESTIONS, YOU MIGHT 
HAVE TO STAND, DO MEXICAN WEAVE, 
SOMETHING LIKE THAT AND I HAD GET 
TO YOU WHEN SEE IT, BIG LIGHT, SMALL 
PERSON. SO THE PURPOSE OF THIS SESSION 
AND FOR THOSE PEOPLE THAT ARE INTERESTED 
IN GETTING STARTED WITH JUPYTER 
-- D DATA SCIENCE AND END ZONE AZURE 
NOTEBOOKS. THERE'S A AZURE NOTEBOOKS 
ANDTHS OWE HEAD TO GET STARTED WITH 
DATA SCIENCE. ALSO ALLOWS YOU OPPORTUNITIES 
FOR COLLABORATION, WHICH IS GREAT. 
YOU COULD START TO SHARE YOUR WORK. 
WE CAN USE DIFFERENT LANGUAGES IN 
IT AND GREAT POWER AND GREAT FLEXIBILITY 
AND IN THIS SESSION WHAT WE WOULD 
DO IS WE WOULD TALK ABOUT AZURE 
NOTEBOOKS, WHY THEY ARE USEFUL AND 
ALSO SEE THEM IN ACTION. IF THAT'S 
NOT YOUR SESSION, NOW GOOD TIME 
TO LEAVE. NO ONE WILL LOOK AT YOU. 
IT HAS HAPPENED BEFORE. THAT'S WHO 
I AM. I WORK FOR MYSELF BECAUSE 
I'M A TERRIBLE EMPLOYEE BASICALLY 
AND NOT UNHIGHHIGHABLE BUT UNEMPLOWABLE 
AND WORKED FOR MYSELF LAST NINE 
YEARS AND I HAVE A GREAT BOSS, WHAT 
CAN I SAY? WHICH IS GREAT BECAUSE 
CHANGE TO THINGS LIKE AND NOTHING 
BETTER THAN DOING TECHNOLOGY AND 
DOING THINGS YOU LOVE. MY BACKGROUND 
ORIGINALLY WAS ARTIFICIAL INTELLIGENCE 
AND POST GRADUATE DEGREE IN THAT 
23 YEARS AGO. VERY LONG TIME. TIME 
GOES BY VERY QUICKLY. ARTIFICIAL 
INTELLIGENCE EVERYONE WAS WORRIED 
ABOUT THE YEAR 2000 PROBLEM AND 
ANYONE UNDER 40 PROBABLY DOESN'T 
REMEMBER THAT BUT IT WAS A BIG THING 
AT THE TIME AND EVERYONE BECAME 
Y2K INTELLIGENCE AND GOOGLE CAME 
ALONG AND RENAMED ITSELF TECHNOLOGIES 
AND INTELLIGENCE ENTERED ANOTHER 
WINTER. VERY GLAD TO SEE THE AI 
STARTED TO BECOME COOL AGAIN AND 
WAITED THIS LONG IN MY LIFE TO BE 
COOL SO I FINALLY MADE IT, WHICH 
IS GREAT. BEEN A LONG TIME. SO WHILE 
I WASN'T DOING ARTIFICIAL INTELLIGENCE, 
I DID BUSINESS INTELLIGENCE, AND 
CUSTOMS TO PULLING DOWN LOTS OF 
DATA SO IF ANYBODY HERE DOES BUSINESS 
INTELLIGENCE, YOU'RE FAMILIAR WITH 
SQL, REPORTS, PUSH DATA AROUND AND 
THAT'S A REALLY GOOD PLACE TO BE 
AND SPRINGBOARD FROM THOSE SKILLS 
TO LEARNING ABOUT AI AND CONCEPTS 
ARE QUITE SIMILAR AND BELIEVE ME 
THERE'S DATA EVERYWHERE AS AI, BUSINESS 
INTELLIGENCE, IT IS NOT GOING ANYWHERE 
I'M HAPPY FOR PEOPLE TO TAKE PHOTOS 
OF THE SLIDES ANY TIME. IF YOU WANT 
TO GET IN TOUCH AFTERWARDS, MY DETAILS 
ARE THERE AND I AM IN CHARACTER 
AND -- ON TWITTER AND HAVING 160 
CHARACTERS AND YOU CAN FIT MUCH 
IN AND HAPPY TO TAKE LINKED IN CONNECTIONS 
AS WELL AND SOMEWHERE MVP AND I 
LIKE THE SOUND OF MY OWN VOICE AND 
REGIONAL DIRECTOR AS WELL AND THERE'S 
IN THE HAVE MANY OF US, 180, AND 
WE INTERACT WITH MORE SENIOR LEVEL 
WITH MICROSOFT AND PRESUMABLY TALK 
EVEN MORE IN THAT ROLE AS WELL. 
>> THE WAY IT WORKS IS ACTUALLY 
REALLY INTERESTING. QUITE A DIFFERENCE 
BETWEEN PRASE AND NOTEBOOK AND PROGRAMMING 
IN SOMETHING LIKE SQL MANAGEMENT 
STUDIO, AZURE STUDIO, SOMETHING 
LIKE THAT. DIFFERENT STYLE OF PROGRAMMING. 
VERY MINIMALIST WHICH I PERSONALLY 
QUITE LIKE, NOT TOO MUCH HAPPENING 
IN THE SCREEN AND WE LIKE NET BOOKS 
BECAUSE BASICALLY WE CAN SEE THE 
COMMENTS AND RESULTS ALL IN ONE 
PLACE. I DON'T KNOW ABOUT YOU BUT 
I DON'T OFTEN SEE COMMENTS. I LIKE 
COMMENTS IN IT. GET ME TO UNDERSTAND 
PEOPLE'S CODE REALLY QUICKLY. I 
DON'T OFTEN SEE THEM AS MUCH AS 
I LIKE. THE REALLY NICE THING ABOUT 
JUPYTER IN PARTICULAR IS IT ENCOURAGES 
YOU TO HAVE THE CORD, COMMENTS AND 
RESULTS. I DON'T KNOW ABOUT YOU 
BUT I DON'T TEND TO PROGRAM DATA 
VERY LINEARLY. I DON'T THINK IN 
LINEAR FASHION AND PARTLY BECAUSE 
MY CUSTOMERS DON'T THINK IN A LINEAR 
FASHION EITHER. THEY JUMP AROUND 
WITH DATA AND ANYONE HANDLED ANY 
TYPE OF DATA CUSTOMERS AND USER 
NEVER SEEN I GOT ENOUGH DATA NOW, 
GOT ENOUGH REPORTS, WE ARE DONE. 
THAT NEVER HAPPENS. OKAY? SO IF 
ANYONE LOOKING FOR CAREER MOVE, 
BEING IN DATA IS REALLY GOOD PLACE 
TO BE. GETTING PEOPLE WHAT THEY 
WANT AND THE MORE THEY GET MORE 
THEY WANT, IT IS A GOOD THING. LOOKING 
THROUGH CORD AND DATA GET IN PARTICULAR 
PATH AND THEN GET BACK UP TO THE 
ORIGINAL QUESTION I WAS THINKS ABOUT 
AND THEN MIGHT GET DOWN IN ANOTHER 
PATH. JUPYTER IS NICE BECAUSE ALLOWS 
ME TO DO THAT BECAUSE I CAN GO BACK, 
RUN THE CORDS DID FIVE MINUTES AGO, 
SEE THE RESULTS AND MOVE FORWARD 
FROM THERE. SOME OF THE THINGS I 
DO ARE QUITE COMPLEX AND WORK WITH 
CHARITY CALLED DATA KIND AS VOLUNTEER 
AND I DO NOTHING BUT WORK ALL THE 
TIME BECAUSE I JAY IT. WHAT DATA 
DOES IS BRING TO SKILL SET TO CHARITY 
DATA AND HAVE DATA SIGNS HACK-A-THONS 
WHERE WE HELP A CHARITY GET TO GOOD 
PLACE WITH THEIR DATA. SO IF ANYONE 
IS INTERESTED IN LANDING DATA SIGNS, 
RECOMMEND YOU LOOK UP THE CHARITIES 
SUCH AS DATA KIND BECAUSE IT MEANS 
THAT YOU GET TO JOIN IN AND MAKE 
A GREAT IMPACT STRAIGHT AWAY. IF 
IT IS NOT YOUR DATASET YOU'RE THINKING 
ABOUT THAT'S WHERE NOTEBOOKS COMING 
QUITE HANDY. IN DEMO DON'T JUST 
HAVE CORDS, HAVE IMAGES IN THERE 
AND COULD HAVE CHARTS AND GRAPHS 
AS WELL SO THE VERY FLEXIBLE AND 
VERY ENGAGING AND I BELIEVE PERSONALLY 
AND VIS VISUALIZING DATA AND I KNOW 
THAT SOUNDS LIKE SOFT FINISHING 
OF TECH INDUSTRY DATA VISUALIZATION 
AND PEOPLE WORRY ABOUT COLOR PALLETS 
AND THINGS LIKE THAT. IT IS AN IMPORTANT 
SKILL TO HAVE AND IT BECOMES EVEN 
MORE IMPORTANT WHEN YOU'RE DEALING 
WITH THINGS LIKE DATA SIGNS AND 
ARTIFICIAL INTELLIGENCE BECAUSE 
YOU HAVE TO EXPLAIN VERY DIFFICULT 
CONCEPTS TO PEOPLE THAT HAVE NEVER 
COME ACROSS THE THING BEFORE. LIKE 
CHARITIES, FOR EXAMPLE, SO THAT'S 
WHAT I FIND SO ENGAGING ABOUT JUPYTER 
NOTEBOOKS, MEETS USER WHERE THEY 
ARE AND VERY SYMPATHETIC AND DON'T 
THINK LINEARLY AND ALSO A GREAT 
WAY OF COMMUNICATING THE INSIGHTS 
FROM YOUR DATA TO EVERYONE THAT'S 
LOOKING AT YOUR NOTEBOOK BECAUSE 
YOU CAN SHARE THEM. BECAUSE WE ARE 
MOVING TOWARD A MUCH MORE COLLABORATIVE 
WORLD AND IT IS A NICE PLACE TO 
BE. SO JUPYTER ITSELF IS OPEN SOURCE. 
WE DO KNOW THAT MICROSOFT SOFTWARE 
VERY INTERACTIVE WAY OF DOING DATA 
SCIENCE AS WELL. YOU CAN ALSO USE 
IT FOR SCIENTIFIC COMPUTING AS WELL 
AND IT HAS LOTS OF DIFFERENT PROGRAMMING 
LANGUAGES IN IT AND TALK ABOUT THAT 
SHORTLY. BUT ESSENTIALLY JUPYTER 
NOTEBOOK IS WEB APPLICATION AND 
ALLOWS YOU TO CREATE AND SHARE CORD 
IN DOCUMENT FORMAT AND YOU CAN USE 
IT FOR ANYTHING THAT YOU MIGHT WANT 
TO DO WITH DATA SUCH AS COLIN KROLL 
DATA, TRANSFORMING THE DATA, KIND 
OF THING PEOPLE ISN'T ISN'T COLENGINEER 
THE DATA AND FIND IT PERSONALLY 
REWARDING AND LIKE SEEING THE DATA 
STARTING IN ABOUT A BAD PLACE AND 
THEN MOVING IT AND CLEANING IT SO 
IT BECOMES BETTER AND I PERSONALLY 
LIKE THAT. ALSO USE IT FOR STATISTICAL 
MODELING AND AMERICAN SIMULATION 
AS WELL AND USE FOR MACHINE. JUPYTER 
ITSELF HAS SUPPORT FOR OVER 40 PROGRAMMING 
LANGUAGES BUT WHAT WE DO HAVE IN 
AZURE NOTEBOOKS SUPPORTS PYTHON, 
SUPPORTS R AND F# AS WELL. THAT'S 
WHERE THEY ARE FOCUSING RIGHT NOW. 
WHEN WE LOOK IN DEMO WE CAN SEE 
IT AND HOW EASY IT IS TO SWAP THEM 
BACK AND FORTH. SO CAN ALSO USE 
IT TO ACCESS BIG DATA AS WELL AND 
I FEEL THAT PEOPLE GET SOMETIMES 
QUITE HUNG UP ON HOW MUCH DATA THEY 
HAVE BUT MAIN THING IS HAVING THE 
TOOLS AND CONCEPTS IN ORDER TO HANDLE 
THE BIG DATA. NOW, THE REALLY NICE 
THING ABOUT USING AZURE NOTEBOOKS, 
USING JUPYTER NOTEBOOKS MEANS JUPYTER 
CAN BE STORED IN AZURE. SHOW YOU 
HOW WE PUT THE DATA AND BLOCK STORAGE 
AND ACCESS IT USING AZURE NOTEBOOKS. 
THAT'S VERY NICE BECAUSE IT IS A 
VERY CHEAP WAY OF STORING DATA. 
IT IS ALREADY AZURE STORIES AND 
PLOP IT UP THERE. I THINK THAT'S 
ONE OF THE ADVANTAGES OF AZURE NOTEBOOKS 
IS HOW DO YOU SUPPORT THAT AND HOW 
DO YOU MAKE SURE IT IS PART OF THE 
WAY THAT YOUR ORGANIZATION STARTS 
TO SUPPORT DATA SCIENCE. SO TO SUMMARIZE 
JUPYTER ITSELF CAN DO REALLY COOL 
THINGS WITH IT, WE HAVE SAMPLE VISUALLYSATIONS 
THERE AND WE CAN HAVE THOSE EMBEDDED 
IN OUR CORD. SO I'M GOING TO FOCUS 
PARTICULARLY IN JUPYTER. WE COULD 
HAVE USED R OR F# AS WELL AND ALSO 
GET CORD SAMPLES FROM GET HUB AND 
I I WAS HAPPY THEY BOUGHT GET HUB. 
I CAN SEE IT JOINING TOGETHER AND 
I CAN GO TO GET SAMPLES FROM GET 
HUB, PUT THEM IN AZURE NOTEBOOKS 
REALLY EASILY. I DON'T KNOW HOW 
YOU LEARN. I PERSONALLY LEARN BY 
BREAKING THINGS AND THEN APOLOGIZING 
PROFUSELY AFTERWARDS AND REALLY 
GOOD AT APOLOGIZING AND GET PLENTY 
OF PRACTICE AND SAW BREAKING AND 
TRYING TO WORK OUT STUFF. SOME PEOPLE 
LEARN BY LISTENING, LEARNING, SOME 
BY DOING. I'M A DOING TYPE OF LEARNER. 
I LIKE JUPYTER NOTEBOOKS BECAUSE 
THEY ALLOW ME TO DO, UNDO, APOLOGIZE 
AND REDO AND ALLOW THE FORMATS TO 
TAKE PLACE QUITE EASILY, SO I LIKE 
THAT. FACILITATES MY WAY OF APPROACHED 
PROBLEMS BUT TO TRY SOMETHING, SEE 
IF IT WORKS AND THEN KEEP GOING 
FROM THERE. SO WE HAVE -- THE WAY 
WE USE THIS PUT CORD INTO CELLS 
AND PUT IT IN SHELL AND SHOW YOU 
HOW THAT WORKS. THE NOTEBOOK KNOWN 
AS LITERAL COMPUTING AND MEAN YOU 
COULD REPRODUCE BY SHARING IT AND 
BE ABLE TO DO RESEARCH AND SHARE 
YOUR NOTEBOOK AND SHARE CORD AND 
SHARE DATA BECAUSE IT IS AZURE AND 
DO THAT VERY, VERY EASILY. STREAMLINING 
THE DATA LINE PROCESS. I DON'T KNOW 
IF YOU SEE THIS IN THE INDUSTRY 
BUT CERTAINLY SEE THE BUSINESS USERS 
AND THEY WANT EVERYTHING TO WORK 
YESTERDAY AND THEY ARE NOT GOING 
TO WAIT TWO YEARS TO BUILD DATA 
WAREHOUSE SO THEY CAN THEN HAVE 
THEIR DATA. THAT USED TO BE THE 
CASE 20 YEARS AGO. IT IS NOT NOW. 
EVERYTHING SPEED UP SO QUICKLY. 
THE NICE THING HAVING DATA IN AZURE 
♪ AND SHARE THOSE IN PROGRESS TO 
MEET THE SPEED OF THE BUSINESS, 
BUSINESS SPEED THAT THEY REQUIRE 
THINGS IN. THE WAY WE WORK DEAL 
WITH CORD AND DATA AND DATA IMPORTANT 
PART OF WHAT WE DO AND FIGURE OUT 
HOW THAT WORK IN JUPYTER AND SHOW 
YOU THAT. SO JUST WANTED TO GIVE 
YOU JUST A FEW POINTERS IN ORDER 
TO GET STARTED AND WE WILL HAVE 
A LOOK AT NOTEBOOK OURSELVES. BASICALLY 
HTML NOTEBOOK ENVIRONMENT AND HAS 
THE KERNEL BEHIND IT AND NICE THING 
ABOUT HAVING IT IN AZURE IS THAT 
AZURE TAKES CARE OF THE PERFORMANCE 
AND THE SET-UP FOR YOU. NOW, I DON'T 
KNOW IF YOU HAVE STARTED TO USE 
THE AZURE DATA SCIENCE FOR YOUR 
MACHINE AND THAT'S ANOTHER OPPORTUNITY 
TO LAND DATA SIGNS. ACTUALLY THINK 
IT IS BETTER TO GET AZURE STARTED 
WITH NOTEBOOKS BECAUSE IN THE VIRTUAL 
MACHINE YOU HAVE TO SPIN UP A LOT 
OF SERVICES AND SOMETIMES IT CAN 
BE HARD TO INSTALL PYTHON ENVIRONMENT 
VARIABLE AND MAYBE IT DOESN'T GET 
SET PROPERLY, DON'T KNOW WHICH FASHION 
YOU'RE USING AND HARDER TO INSTALL 
THAN PEOPLE THINK UNLESS YOU INSTALL 
A ANACONDA . GOOD THING ABOUT AZURE 
NOTEBOOKS YOU SET UP THE NOTEBOOK 
AND AZURE WORKS IT OUT FOR YOU BEHIND 
THE SCENES, THAT'S WHAT'S LOVELY 
ABOUT IT. SO VISUALIZE IT AS WELL 
AND FEW MORE REFERENCES IN CASE 
YOU WANT TO START TO PICK UP MORE, 
GO INTO THE DEMOW AND G DEMOW AND 
GIVE YOU REFERENCES. I REALIZE PEOPLE 
LEARN BETTER BY READING BUT I LEARN 
BETTER BY DOING. HERE ARE GREAT 
OPPORTUNITIES TO RECOMMEND TAKING 
SCREEN SHOT OF THAT AND I ALSO LIKE 
PYTHON DATA ANALYSIS PUBLISHED AND 
GREAT WAYS TO GET STARTED. SO THIS 
IS WHERE YOU COULD STARTED TO SEE 
THE PYTHON DOCUMENTATION AND THE 
JUPYTER DOCUMENTATION COMING IN 
AS WELL. SO THAT'S ANOTHER GOOD 
PLACE TO GET SOME MORE RESOURCES 
YOU. HERE ARE FEW MORE EXAMPLES 
TOGETHER. I DON'T UNTIL POWERPOINTING 
PEOPLE TO DEATH, ESPECIALLY AT 2:00 
IN A WARM COZY ROOM. YOU KNOW, YOU 
WILL FALL ASLEEP. THAT'S WHAT HAPPENS. 
SO WHAT I WOULD LIKE TO DO IS GO 
MANY AND SHOW YOU THE AZURE NOTEBOOKS. 
SO I'M GOING TO USE ZOOM IT AND 
SHOW YOU HOW WE ACCESS IT . SO THE 
URL THAT YOU'RE LOOKING FOR, WE 
CAN SEE IS HTTPS NOTEBOOK . AZURE. 
COM AND THAT'S IN PREVIEW. NOT SHOWING. 
OKAY. LET'S SEE . OKAY. THANKS FOR 
THAT. SORRY. IN THE BACK IT STARTED 
TO MOVE DOWN. SO GET BACK THROUGH 
THAT AGAIN. SO THE URL THAT YOU'RE 
LOOKING FOR IS NOTEBOOK AZURE. COM 
AND CURRENTLY IT IS IN PREVIEW. 
SO IT IS A GOOD TIME TO GET STARTED 
WITH IT. IT IS IN PREVIEW WHICH 
MEANS IT MAY CHANGE NOW AND AGAIN. 
THERE WILL BE THINGS HAPPENING BEHIND 
THE SCENES. SO I'M JUST WARNING 
YOU SOME PREVIEW SO YOU HAVE HAD 
THAT CAVEAT BEFORE WE GOT STARTED. 
SO WHAT DO YOU NEED IS AZURE SUBSCRIPTION 
OBVIOUSLY YOU CAN START TO SIGN 
UP FOR THOSE FOR FREE. ONCE YOU 
SIGNED UP FOR AZURE WHAT WE GOT 
HERE IS MY PROJECTS. SO I TALKED 
A LOT ABOUT NOTEBOOKS BUT NOTEBOOKS 
ARE ACTUALLY ORGANIZED INTO PROJECTS 
AND JUST SUCH A NICE WAY OF ORGANIZING 
THINGS BY TOPIC AND I WORK FOR MYSELF 
SO DO THINGS FOR DIFFERENT CUSTOMERS. 
MIGHT HAVE A CUSTOMER PAIR PROJECT. 
SO WHEN WE COLLECT ON PROJECTS YOU 
CAN START TO SEE THERE'S A LOT OF 
PROJECTS DOWN HERE I WILL GO TO 
THE ONE WHICH I'M GOING TO USE. 
WHAT WE CAN SEE HERE IS INSIDE THIS 
PROJECT AND I CALLED THIS PARTICULAR 
PROJECT MINE 2019. NOT TOO IMAGINATIVE. 
WHAT WE GOT HERE IS WE GOT THIS 
RUNNING ON FREE COMPUTE. SO WHEN 
YOU SIGN UP ORIGINALLY YOUR ON THE 
FREE COMPUTER SERVICE BUT IF YOU 
HAVE ANY AZURE VIRTUAL MACHINES 
WHAT YOU CAN DO IS YOU WOULD HAVE 
-- YOU WOULD BE ABLE TO CLICK ON 
THE DROP-DOWN LIST AND BE ABLE TO 
RUN -- RUN IN EXAMINE CONNECT TO 
THE VIRTUAL MACHINE, RUN PYTHON 
FROM THERE, FOR EXAMPLE, AND FREE 
ONE JUST NOW AND TAKES SOMETIME 
-- WE HAVE ONLY GOT AN HOUR AND 
LOOK AT THAT. NOW, I HAVE GOT SOME 
INTERESTING THINGS TO DO SO WHEN 
GO BACK TO PROJECTS, WHAT YOU CAN 
DO AND YOU GOT THIS WHERE YOU CAN 
UPLOAD GET HUB AND CAN DO AND GET 
UP AND ONE OF THERE AND ONE THERE 
REPOSITORIES. SO SAY YOU GOT THAT. 
ONCE YOU QUIT WITH THAT AND PICK 
THE ONE. THERE'S BEEN TALK ABOUT 
CHANCE AND SOMETHING QUITE POPULAR. 
WHAT YOU COULD DO IS UPLOAD ONE 
OF THESE TUTORIALS AND WHAT YOU 
COULD DO THERE IS START TO UPLOAD 
ONE OF FOR AZURE NOTEBOOKS AND REASON 
I MENTION THAT I TEND TO WORK WITH 
SCIENTISTS AND WORK WITH IT DEPARTMENTS 
QUITE OFTEN GOT INDUSTRY OF TECHNOLOGY 
AND SO THEY GOT DIFFERENT TYPES 
OF TECHNOLOGIES ALL OVER THE PLACE 
AND MAKE IT QUITE HARD TO SUPPORT 
AND MOVING THINGS INTO AZURE MEANS 
IT IS SOMETIMES EASIER FOR THE IT 
TEAMS TO STREAMLINE THAT SUPPORT 
AND KNOW WHERE THEY ARE AND NOT 
LOOKING AFTER TEN DITCH THINGS AND 
ENOUGH TO DO USUALLY. SO START TO 
UPLOAD THIS AS WELL AND AND TUTORIALS 
AND WE GOT -- UPLOAD JUST ANY ONE 
OF THESE AND GO TO THIS ONE AND 
PARTICULAR UR URL AND IMPORT INTO 
THE NOTEBOOK AND TAKE TIME AND URL 
FROM THE TOP AND THEN UPLOAD IT 
FROM HERE. AND UPLOAD FROM HERE 
AND CLONE AND THEN WE ARE READY 
TO GO. SO THE ONE THAT I'M GOING 
TO USE IS I'M GOING TO SET UP EXPERIMENT 
WHICH IS LOOKING AT THE NUMBER OF 
SUN SPOTS AND TRYING TO WORK OUT 
IF WE CAN PREDICT HOW THOSE APPEAR 
IN THE FUTURE AND BEFORE WE DO ANYTHING 
ELSE I WANT TO AZURE YOU EXACTLY 
WHERE WE GET THE DATA FROM SO CREDIT 
TO THE SUN SPOT INDEX IN LONG-TERM 
SOLAR OBSERVATIONS WHAT WE ARE GOING 
TO DO IS TAKE THE DATA, I WILL SHOW 
YOU HOW WE UPLOAD IT INTO AZURE 
AND THEN WE WILL WORK WITH THE DATA 
USING THE AZURE NOTEBOOKS. NOW, 
IT IS REALLY HARD TO GET DATASET 
WHICH IS NEUTRAL AND ONE TEAM GUARANTEES 
TO UPSET SOMEONEELS AND ALL GOES 
WRONG AND WE WILL ALL START WITH 
SUN SPOTS BECAUSE WE KNOW WHERE 
THAT IS. SO CREDIT TO THEM AND TAKE 
ANY ONE OF THE DATASETS. ONE WE 
ARE GOING TO USE IS THIS ONE AND 
LOOK AT AVERAGE NUMBER OF SUN SPOTS 
THAT APPEAR EVERY MONTH. SO WHEN 
WE DOWNLOAD THIS DATA GO TO EXCEL 
ALREADY. I STILL LOVE EXCEL AND 
CHOSE NOW BUT STILL LOVE EXCEL, 
ALWAYS SPECIAL PLACE IN MY HEART, 
SO HERE IS WHAT THE DATA ACTUALLY 
LOOKS LIKE. EXCEL IS JUST A NICE 
WAY OF SHOWING AZURE HAS POWER BI. 
SO THIS IS WHAT THE DATA LOOKS LIKE 
AND DATA GOES BACK FOR VERY LONG 
PERIOD OF TIME, SO GOES BACK TO 
1749 SO THAT'S WHEN PEOPLE STARTED 
TO RECALL THE NUMBER OF SUN SPOTS. 
SO GOT THE YEAR. GOT THE YEAR IN 
FRACTIONS BECAUSE I HOPE WE CAN 
SEE THE DATA IS RECORDED MONTHLY. 
SO THAT SAYS 1749. THEN WE SEE THE 
MONTHLY AVERAGE, NUMBER OF SUN SPOTS 
WHICH IS THIS COLUMN HERE. THEN 
WE CAN SEE THE DATA IS PROVISIONAL, 
FOR EXAMPLE, OR WHETHER IT IS CONFIRM 
OR NOT. THE WAY THAT THIS PARTICULAR 
LAB WORKS IS THEY WILL GO AND VERIFY 
THE DATA BUT SOMETIMES THAT MIGHT 
TAKE A LITTLE WHILE. SO IF THE DATA 
STARTS TO BE VERIFIED, MOCKING IT 
IN THAT -- MARKERS IN THE COLUMN 
AS PROVISIONAL. THAT'S WHAT THE 
DATA LOOKS LIKE IN EXCEL. WHEN WE 
GO TO THE AZURE P PORTAL. LOOK UP 
HERE. SO THIS IS MY AZURE PORTAL 
AND WHAT I HAVE GOT HERE IS I GOT 
SOME STORAGE AND THIS IS ESSENTIALLY 
JUST BLOB STORAGE. I GOT CONTAINER 
CALLED DATA SIGNS, DEMOS . THEN 
WE CAN SEE ALREADY GOT A LOT OF 
FILES IN HERE AND CSV FILES AND 
IF ANYONE WANTS TO TRY THE EXERCISES 
AND THING THAT I'M DOING, IT IS 
A NICE EASY FORMAT. IT IS LOWEST 
COMMON DENOMINATOR . WE CAN NOT 
LURE QUITE EASILY . GOT THE FILE 
HERE. OTHER THING THAT I DO NEED 
TO HAVE IS I NEED TO HAVE THE KEY 
AND DETAILS. IN ORDER TO BE AN TO 
ACCESS THE AZURE STORAGE BLOB. SO 
LET'S GET BACK TO THE COURT AND 
I WILL HAVE A QUICK LOOK IN HOW 
WE DO THAT. SO JUST TO SUMMARIZE 
BEFORE WE PROCEED, WHAT WE ARE DOING 
IS I HAVE DOWNLOADED THE SUN SPOT 
NUMBER DATA FROM THE SCIENTIFIC 
REPOSITORY HERE AND BASED IN BRUSSELS 
IN CASE ANYONE IS INTERESTED. WHAT 
WE ARE GOING -- WHAT I HAVE DONE 
IS I HAVE UPLOADED CSV DATA IN AZURE 
BLOB STORAGE AND THAT'S THE NAME 
OF THE FILE HERE AND THAT'S A MONTHLY 
FORMAT WHICH WE KNOW FROM THE TITLE 
JUST THERE. SO THEN WHEN UPLOADED 
THE DATA THE FIRST THING I DO NEED 
TO DO IS HAVE A THING ABOUT HOW 
CAN I GET MY AZURE NOTEBOOK TO REALLY 
UNDERSTAND AND SEE THAT DATA THAT'S 
AZURE BLOB STORAGE. I WILL SHOW 
YOU HOW WE DO THAT. THERE'S A FEW 
CHARACTERISTICS OF THE GLOB STORAGE 
WE ACTUALLY NEED. FIRST THING WE 
ACTUALLY NEED IS ACCOUNT NAME AND 
HERE IT IS CALLED DATA DEMOS AND 
AZURE PORTAL AND GO TO ALL RESOURCES 
AND LOOK FOR STORAGE COUNT ASK AND 
SEE HERE DATA DEMO ACTUALLY THE 
NAME OF THE STORAGE ACCOUNT AND 
THAT MATCHES WHAT I HAVE GOT HERE 
IN THIS PIECE. I JUST NEED THE ACCOUNT 
NAME. SO THEN NEED TO GO BACK TO 
THE PORTAL AND NEED TO GET THE STORAGE 
KEY. SO CAN GET THE ACCESS KEYS 
IN THE LEFT-HAND SIDE AND THE ACCESS 
FOR DOING THAT IS OVER HERE. SO 
I CAN SEE I JUST DOUBLE-CHECKED 
THAT'S THE STORAGE NAME DATA DEMOS 
AND I GOT ONE OF THE KEYS MORE. 
ALSO GOT THE CONNECTION STRING WHICH 
I WILL USE THIS PARTICULAR KEY HERE 
IN GREEN. STORAGE KEY BEGINS WITH 
SAME KIND, SAME ONE. ONCE WE HAVE 
DONE THAT IT NEEDS TO CONTAINER 
NAME, WHICH ARE CALLED DEMO AND 
THEN IT NEEDS THE NAME OF THE FILE 
AND ALSO NEEDS OUTPUT AS WELL WHICH 
I SIMPLY CALLED OUTPUT CSV. WHEN 
WE GO BACK TO THE PORTAL WE CAN 
SEE AND WE WILL GO BACK TO DEMO 
JUST THEREY. I GOT BLOBS DOWN HERE 
ON LEFT-HAND SIDE AND ACCESS IN 
THE BLOB STORAGE AND DEMO NAME OF 
THE CONTAINER AND SEE FILES IN HERE 
IN THIS FOLDER. THAT'S HOW WE ACTUALLY 
ACCESS TOGETHER AZURE NOTEBOOKS 
WITH THE DATA. AS WE ARE USING THE 
STORAGE YOU CAN IMAGINE PUSH A LOT 
OF DATA INTO AZURE AND THAT'S WHAT'S 
INTERESTING ABOUT IT, THINK ABOUT 
USING BIG DATA SOURCES. WE WILL 
LEAVE THE PORTAL NOW AND LOOK AT 
THE NOTEBOOK BEFORE WE DIVE IN. 
FIRST THING TO NOTICE IS THIS IS 
THE NOTEBOOK AND PROJECT. FIRST 
THING I WOULD LIKE TO DO IS DRAW 
YOUR ATTENTION TO THE LANGUAGES 
THAT ARE AVAILABLE IN THE AZURE 
NOTEBOOKS AT THE MOMENT. BASICALLY 
IT IS A NOTEBOOK AND MICROSOFT AZURE 
WILL WORK OUT AND SET UP AND CONFIGURE 
THIS FOR YOU AND IT IS UP SAVE A 
GREAT WAY TO GET STARTED WITH DATA 
SIGNS, I THINK, BECAUSE DON'T HAVE 
TO INSTALL ANYTHING. SOMETIMES IT 
CAN BE QUITE DIFFICULT TO INSTALL 
PYTHON MORE THAN IT SHOULD BE UNLESS 
YOU USE ANACONDA AND HERE WE HAVE 
DEFINITE FLAVORS OF PYTHON, TWO, 
THREE, 3. 6 AND ALSO GOT R AS WELL 
AND ALSO GOT F#. SO THE NICE THING 
ABOUT THAT IS YOU CAN CHANGE KERNEL 
INSIDE THE NOTEBOOK AS YOU GO ALONG 
AND IT IS NICE BECAUSE IT MEANS 
YOU CAN GET STARTED, YOU DON'T HAVE 
TO ACTUALLY TRY TO INSTALL ANYTHING. 
SO FEW THINGS TO NOTE. SO WHAT WE 
CAN DO IS CHECKPOINT THE FILE IF 
YOU WANT TO DO THAT AND DIFFERENT 
VERSIONS OF IT. ALWAYS GOOD AND 
KIND OF PERSON I AM AND LIKE TO 
BRING STUFF BACK, FIX IT AND MOVE 
FORWARD AND ENTERTAIN THE NOTEBOOK 
YOU SEE HERE WE HAVE THE CELLS. 
HOPEFULLY YOU COULD SEE THAT AND 
HERE ARE ONE OF THE CELLS HERE. 
CLICK THAT ONE. THIS IS BASICALLY 
MARKED AND ALL I HAVE DONE HERE 
IS JUST MEMOIR AND CREDIT TO THE 
PEOPLE WHO ACTUALLY GENERATED THE 
DATA IN THE FIRST PLACEY. THESE 
PEOPLE HERE WHAT WE CAN DO IS ADD 
IN DIFFERENT PACKAGES TO THE PYTHON 
CANDLE AND IN THE CANDLE HERE ON 
RIGHT-HAND SIDE. NAME OF THE PROJECT 
IS HERE CALLED MS BUILD. GOT THE 
VERSION OF THE PYTHON MORE WHICH 
IS PYTHON 3. 6 AND THIS IS TRUSTED 
-- TRUSTED NOTEBOOK AND THEN WE 
HAVE ALSO GOT PYTHON LOGO AT THE 
TOP. SO THE FIRST THING I HAVE DONE 
IS PUT IN COMMENTS. WHAT YOU CAN 
DO IS YOU CAN ADD EXTRA CELL AT 
THE TOP, CELL ABOVE, TAKE THIS AS 
COMMENT CELL AND WHAT WE CAN DO 
IS SEE THESE ARE DIFFERENT THINGS 
WE CAN DO WITH THE CELL. WE CAN 
HAVE IT AS HEADING , HAVE CALLED 
AND MARKED OUT AND DO THAT AS MARKED 
OUT AND GOING TO CLICK ON IT AND 
CELL AND WHETHER IT IS A COMMENT 
OR CALLED OR RESULTS. NEXT THING 
HERE IS PYTHON AND STARTED TO IMPORT 
A LOT OF LIBRARIES. A LOT OF THESE 
WILL BE FAMILIAR TO ANYBODY THAT 
USED PYTHON AND WE HAVE GREAT ONE 
FOR TRYING TO MERGE DATA AND TRYING 
TO CRUNCH THROUGH DATAY. FIRST THING 
WE NEED TO DO IS IMPORT LIBRARIES 
AND THAT MAKES IT REALLY FLEXIBLE. 
THE NECK THING WE DO AFTER THAT 
IS JUST GET PRACTICE TO ALL THE 
LIBRARIES AT THE TOP SO YOU CAN 
-- IS THERE A QUESTION? LIBRARIES 
HAVE NOT BEEN INSTALLED. YOU COULD 
BE ABLE TO CALL THEM AND INSTALL 
IT FOR THEM BEHIND THE SCENES. END 
I WILL GET SOME NOTES FOR YOU BECAUSE 
I'M SURE INSTALL IT FOR YOU USING 
PEP AND COOL ACTUALLY. SO MANY DIFFERENT 
THINGS TO DO WITH LANGUAGE. VERY 
INTERESTING. HELLO ? >> COULD YOU 
REPEAT? >> CAN YOU TOUCH GET REPOSITORY 
? >> YES. CHANGING OF THE NOTEBOOK. 
>> WE WILL LOOK AT THEEND AND NOT 
SOMETHING I HAVE LOOKED AT AND DEFINITELY 
IMPORT SO SHOULD BE ABLE TO PUSH 
BACK AS WELL. SO GOT AZURE COMMENTING 
HERE AND THOSE ARE DETAILS I LEARNED 
EARLIER. WOULDN'T GO AND RUN AGAIN 
BECAUSE IT WILL TIME TO GET AND 
HERE WHAT YOU DO NEED AND ACTUALLY 
CAN GET THIS FROM AZURE OR GET THE 
DOCUMENTATION ON HOW TO DO THIS 
BUT YOU HAVE TO GO AND IMPORT AND 
FROM AZURE BLOB SERVICE AND REASON 
FOR THAT IS SO IT CAN GO IN ACCESS 
THE DATA IN AZURE. NOW, THIS IS 
VERY EASY TO SET UP AND CAN GET 
THE DOCUMENTATION ON THAT. IT IS 
ON THE MICROSOFT WEBSITE. ALL I 
HAVE DONE HERE ALL THE VARIABLES 
USED PREVIOUS LEASE FOR AZURE, THEY 
HAVE BEEN TOGETHER AND THEY GET 
-- GO TO THIS PARTICULAR FUNCTION 
HERE, GET BLOB TO PATH AND EVERYTHING 
YOU NEED TO KNOW TO GO AND GET THE 
DETAIL. SO ALL I HAVE DONE HERE 
IS WHEN I GOT THE DATA READING ON 
THE CSV FILE. CSV FILE ASSIGNED 
TO AVAILABLE CODE FILE AND ALL OF 
THAT GETS ASSIGNED TO THIS PARTICULAR 
NAME HERE DATA. THAT VARIABLE NAME 
WILL HOLD THE DATA NAME FOR MOW 
AND THE DATA NAME WILL BE RETRIEVED 
FROM BLOB STORAGE AND POPPED INTO 
THE VARIABLE THERE. I HAVE GONE 
AND GONE A FEW DIFFERENT FILES HERE. 
EVERYONE CAN THROW THOSE. BASICALLY 
IT IS THE SAME PROCESS. YOU CANNOT 
USE MORE THAN ONE FILE, YOU HAVE 
TO CALL THIS PARTICULAR SERVICE. 
INSTALLED THE LIBRARIES AND DATA 
AND START TO USE IT PRETTY MUCH 
LIKE ANY OTHER AND ANY OTHER PIECE 
DOING AND REALLY COOL AND GET UP 
TO SPEED QUICKLY AND NOT INSTALLED 
ANYTHING. WHAT WE GOT HERE IS WANTED 
TO PRINT OUT THE DATA FOR YOU, WE 
CAN SEE WHAT IT LOOKS LIKE AND YEAR 
IN FRACTIONS, MONTHLY MEANS SUN 
SPOT NUMBER AND SEE IT ACTUALLY 
MATCHES THE HEADINGS HEREY. SAME 
FILE. NOTICE THIS THING UP HERE 
AND ABSOLUTELY NOT GOING TO DO THAT 
IN MIDDLE OF THE DEMOW AND HAVE 
DEMO AND HAVE TO WAIT UNTIL AFTERWARDS. 
ONE THING TO DO THAT YOURSELF, WATCHING 
SOMEONE ELSE DO IT. BE WITH ME, 
I'M SURE EXCEL WILL STRUGGLE THROUGH 
THE END OF THE SESSION. THEN START 
TO INSTALL THE DATA. I WORK FOR 
MYSELF AND OFTEN GET DATASETS WHICH 
I HAVE NEVER SEEN BEFORE AND LIKELIHOOD 
DONE ANYTHING BEFORE DATA DICTIONARY 
IS PRETTY LAW. I HAVE BEEN IN BUSINESS 
INTELLIGENCE FOR 23 YEARS AND I 
THINK I HAVE SEEN TWO CUSTOMERS 
WHO HAVE DONE DATA DICTIONARY. DOES 
ANYONE HERE HAVE ONE. PEOPLE DON'T 
REALLY EXPLORE THE DATA. REASON 
THEY DON'T WANT TO DO IT IS BECAUSE 
GET NASTIES IN THERE AND PROBABLY 
RIGHT AND THAT'S THE PROBLEM. START 
TO LOOK AT THE DATA. SO WHAT WE 
CAN DO IS THIS. DESCRIBE I THINK 
ON THE COMMAND ACTUALLY AND IT IS 
SQL AND HELP AND WHAT WE GOT HERE 
IS COLUMN NAMES AND IT DOES A NICE 
THING WHERE IT IS GOING TO TRY AND 
WORK OUT THE STATISTICS OF THE DATA 
FOR YOU. BUILDING DATA WAREHOUSES 
AND THINGS LIKE THAT, VERY RARELY 
SEE ANYONE USE STATISTICS AT ALL 
FOR ANY DATA AND POINT OF THAT AND 
GIVE YOU EXAMPLE AND SOME WORK FOR 
THE NHS AND U. K. AND ALL THEY WANTED 
TO KNOW WAS THE AVERAGE NUMBER OF 
BEDS DAYS -- PEOPLE SLEEPING IN 
BEDS, WHO HAS DIABETES AND THINK 
OH, THAT'S EASY, RIGHT? OVERNIGHT 
STAYS IN HOSPITALS AND DIVIDED BY 
NUMBER OF PATIENTS THAT HAVE DIABETES 
THAT GIVES THE AVERAGE. DIDN'T WORK 
LIKE THAT BECAUSE A LOT OF DATAD 
HAD GOT MIXED UP AND IT WAS ACTUALLY 
ABOUT THE DATES AND ACTUALLY ADMISSIONS 
DATE OF PATIENT GOING INTO HOSPITAL 
WAS ACTUALLY THE RELEASE DATE AND 
WHEN YOU -- DIFFERENCE BETWEEN THE 
TWO NUMBERS, IT WAS NEGATIVE NUMBER 
BECAUSE RELEASE DATE WAS BEFORE 
ADMISSION DATE -- DOES THAT MAKE 
SENSE? IT SHOULDN'T BUT THAT'S KIND 
OF THE POINT. SO YOU HAVE PEOPLE 
STAYING IN HOSPITAL FOR NEGATIVE 
NUMBER OF DAYS AND AT ONE PER PERSON 
IN HOSPITAL FOR MINUS 189 DAYS BECAUSE 
SWAPPED ADMISSION AND RELEASE DATE. 
THE REASON I FOUND WAS IT DID VERY 
SIMPLE DESTRUCTIVE STATISTICS JUST 
LIKE THIS. WHAT WAS THE MINIMUM 
NUMBER? MINIMUM NUMBER CAME UP AS 
NEGATIVE AND TOLD ME SOMETHING WRONG 
HERE. IF YOU ARE NOT DOING SIMPLE 
BASIC STATISTICS RECOMMENDS THAT 
YOU DO. PEOPLE THINK YOU'RE A GENIUS 
IN THE OFFICE AND PECK OUT THAT 
KIND OF THING. IT IS A BIG BUSINESS 
IMPACT. SOMETIMES THE STUFF I DO 
IS NOT VERY SMART. I ASK THE RIGHT 
QUESTION AND NOBODY REQUESTED BEFORE. 
DOING SOMETHING LIKE THIS IS ACTUALLY 
REALLY PORT AUTHORITY FROM A BUSINESS 
POINT OF VIEW. SOME OF IT DOESN'T 
MAKE SENSE. ONE CUSTOMER THAT COULDN'T 
WORK OUT THE MEDIAN FOR FOUR YEARS. 
I DON'T KNOW WHY. WHEN YOU START 
TO HELP PEOPLE TO DO THINGS REALIZE 
THEY ARE A MESS WITH THE DATA. SO 
YOU CAN SEE HERE VARIABLE WITH SUN 
SPOT DATA AND TWO COLUMNS AND GIVEN 
IT THE YEAR MONTH AND GIVEN IT SUN 
SPORT NUMBER AND TAKEN THIS TO SET 
AND CUT OUT COLUMNS THAT DON'T NEED 
AND DO NICE THINGS AND THEN START 
TO PRINT THE DATA WHICH IS WHAT 
WE SEE HERE. WE GOT THE YEAR MONTH 
AND THEN WE GOT THE MONTHLY SUN 
SPOT NUMBER AND REALLY INTERESTING 
THINGS ABOUT THIS IS WHEN WE START 
TO LOOK AT IT, WE CAN START TO SEE 
PATTERNS. I LIKE PATTERNS OF DATA 
AND TELLS ME SOMETHING INTERESTING 
HAPPENING. WE ACTUALLY HAVE PATTERNS 
AND DATA ALL THE TIME. THAT COULD 
BE SEASONABLE CHRISTMAS SHOPPING, 
IT COULD BE PEOPLE BUYING CONCERT 
TICKETS, PEAKS AND TROUGHS IN THE 
DATA SO THAT TELLS YOU SOMETHING 
IS HAPPENING AND THESE ARE THE KIND 
OF PATTERNS WE ARE LOOKED FOR, PARTICULARLY 
WHEN LOOKING AT THINGS PATIENT DATA 
OR CUSTOMER DATA WHAT'S HAPPENING. 
START TO SEE. THAT STARTS TO PEAK 
INTEREST A BIT. SO WHAT WE CAN START 
TO DO IS WITH THIS ACCORD AND PYTHON 
START TO DO SOMETHING THING AND 
SPLITTING THE DATA INTO TEST SET 
AND THIS IS SOMETHING THAT'S VERY 
IMPORTANT WHEN WE ARE BUILDING MODELS 
AND DATA SIZE AND PYTHON IS DEFINITELY 
FUNCTIONALITY FOR DOING THAT. WHEN 
YOU LOOK AT DATA IT IS INTERESTING 
BECAUSE WE HAVE TO KEEP THE SEQUENTIAL 
NATURE AND PUT IT NEXT TO APRIL 
AND NEED THE INTENSE AND KEEPING 
THAT SEQUENCE AND TRAINING SETS. 
WHAT WE CAN DO IS ONCE WE HAVE SPLIT 
INTO THE TASTE IN TRAINING SETS 
AS WE CAN START TO SEE SOME PREDICTIONS 
ON IT, SO BASED ON THE TRAINING 
DATASET AND PREDICTION ON HOW SUN 
SPOT MAY APPEAR IN THE FUTURE AND 
SEE HERE USING THIS PART ON THE 
RED IS PREDICTIONS AND THAT'S HOW 
SUN SPOT DATA MAY APPEAR LATER IN 
THE FUTURE . JUST HERE AND TRAINING 
SET AND TEST SET ASK JUST PLOTTING 
IT AND SIMPLE DATA SAT WITH COLUMN 
AND SPLITS DATA INTO A TRAINING 
SET WHICH IS 66 OF THE FULL SET. 
THEN THE TEST SET IS BASICALLY EVERYTHING 
THAT'S LEFT. PRINTED OUT OBSERVATIONS 
IN SOME SAMPLE DATA AND THEN IT 
IS JUST TRYING TO LOOK FOR PATTERNS 
IN THE DATA. THAT MAKES SOMETHING 
QUITE INTERESTING. JUST ONE LAST 
THING TO AZURE YOU, QUICK OVERVIEW, 
START TO DO REALLY NICE DATA VISUALIZATION 
AND PYTHON AND HAVE THOSE APPEAR 
IN THE NOTEBOOK. SO WHAT THIS IS 
TRYING TO DO, THIS IS A CORRELATION 
AND LINEAR CORRELATION OF SIGNAL 
WITH ITSELF TO POINTS IN TIME. WHEN 
WE DO TIME-SERIES DATA WE ARE TRYING 
TO UNDERSTAND WHAT HAPPENS IN PATTERNS 
IN THE DATA OVER TIME BUT ALSO TRYING 
TO THINK ABOUT PATENT REALLY THERE?
WHAT HAPPENS 
IF TAKE A STEP BACK AND START SEQUENCE 
IN DECEMBER DOES THAT MAKE A DIFFERENCE? 
WHAT HAPPENS IF WE START IN FEBRUARY? 
DOES THAT MAKE A DIFFERENCE? WE 
CALL THAT LAG. ALL WE ARE DOING 
IS WINDOW OVER THE DATA TO TRY TO 
LOOK FOR THE PATTERNS. SO THAT'S 
A CORRELATION AS TRYING TO WORK 
OUT AND OTHER PATTERN AND WHAT HAPPENS 
IF WE SHIFT IT BACK? SOMETIMES YOU 
FIND IF YOU DO TOO MANY SHIFTS AND 
YOU START TO LOSE THE PATTERN AND 
THAT'S OKAY, IT IS A GOOD THING 
IN ITSELF TO KNOW AND UNDERSTAND 
IT IS HAPPENING AND CLOSER YOU GET 
BACK TO THE STARTING POINT THE RELATIONSHIPS 
AND DATA BECOME STRONGER AGAIN. 
MAY TELL YOU SOMETHING IS HAPPENING 
IN JANUARY, IT IS NOT HAPPENING 
CONSISTENTLY. DON'T SEE OTHER TIMES 
IN THE YEAR. DON'T SEE THE SUMMER 
APPEARING IN MARCH. DON'T FIND THE 
SAME PATTERN THERE. SO WHEN WE START 
TO LOOK AT DATA IT BECOMES QUITE 
INTERESTING AND START TO HAVE BASELINE 
IN THE DATA AS WELL AND SO WHERE 
DO WE THINK THE PREDICTION MIGHT 
GO AND WHAT ACTUALLY HAPPENS TO 
IT? WE CAN DO ALL THIS IN AZURE. 
I WAS BEEN USING NOTEBOOK. BECAUSE 
IT IS FREE IN PREVIEW GREAT OPPORTUNITY 
TO GRAB, GET UP AND TRY IT TO SEE 
WHAT HAPPENS. SO JUST ONE LAST TO 
SHOW YOU AND DATA AND THIS IS THE 
FORECAST ACTUALLY LOOKS LIKE AND 
WHAT WE GOT HERE IS ACTUAL DATA 
TAKEN FROM 1950. HOPE YOU CAN SEE 
THAT ALL RIGHT. SO WE GOT THE YEARS 
DOWN ON THE BOTTOM AND ACTUAL DATA 
AND BLUE LINE AND SEE HOW IT WORK 
AND TRYING TO DO ON THE RED LINE 
IS FORECASTING AND THEN WE CAN SEE 
IF WE HAVE THE TARGET UNLOCKED AND 
WHERE THINKS IT MIGHT GO NEXT. PLAYING 
WITH THE DATA TO SEE THOU LOOKS 
AND DOING REALLY NICE THINGS WITH 
IT. GOING TO GO BACK TO THE NOTEBOOK 
ITSELF. FEW THING TO SHOW YOU IF 
YOU WANT TO CHANGE AT ANY POINT 
WE CAN GO BACK TO CHANGE KERNEL, 
SUMMARY, USE PYTHON FOR PART OF 
THE NOTEBOOK AND DIP INTO R TO DO 
STAT STUFF. I THINK PERSONALLY THE 
PYTHON VISUALIZATIONS ARE REALLY 
COOL . GOT SEABORNE, THESE DIFFERENT 
LIBRARIES DATA VISUALIZATION REALLY 
INTERESTING. WE CAN ALSO GO UP TO 
CONNECT UP TO AZURE AS WELL. WE 
COULD DO THAT AND CONNECT US TO 
THE AZURE SUBSCRIPTION. SO YOU WANT 
THE PROJECT CREDENTIALS AND ACCESS 
AND KNOWS WHOIM ALREADY AND GOT 
LOG-IN OVER HERE AND ALREADY LOGGED 
IN. ONCE WE HAVE DONE THAT CHECKPOINT 
AND TO CHECK POINT AS WELL AND WANT 
TO SHOW THE WORK TO OTHER PEOPLE 
HAVE SLIDE SHOW AS WELL WHICH IS 
QUITE GOOD. SO JUST GET BACK TO 
THE SUMMARY. CLICK SUMMARY HERE. 
ANY QUESTIONS? SO JUST QUICK SUMMARY, 
EGYPTIAN NOTEBOOK IN AZURE, HAVE 
FUN WITH DATA IN AZURE WITH BLOB 
STORAGE AND USE TO GET STARTED AND 
IF THAT'S SOMETHING YOUR COMPANY 
IS THINKS ABOUT DOING AND ALREADY 
DOING PYTHON AND ANYTHING LIKE THAT, 
YOU CAN START TO THINK ABOUT HOSTING 
THOSE IN AZURE AND TRYING TO MAKE 
THE SUPPORT MORE STREAMLINE, MORE 
EASY AND YOU GOT YOUR DATA IN ONE 
PLACE WHICH WE ALWAYS LIKE AND CAN 
ALSO HAVE DATA IN ONE PLACE WHICH 
IS ALWAYS GOOD AND TEN DIFFERENT 
DATA STORES IN ONE PLACE, I DON'T 
KNOW WHICH VERSION IS VERSION OF 
THE TRUTH IF THERE IS ONE. ALSO 
SHARE EGYPTIAN NOTEBOOKS AS WELL 
AND QUITE EASY TO DO AND BACK TO 
THE PORTAL HERE AND DOWNLOAD THEM, 
DOWNLOAD THAT AND SHARE THAT WAY 
AND ALSO MOVE AND GOT PROJECT SETTINGS 
HERE. SET-UP DEFINITE ENVIRONMENTS 
TOO. WHEN PREVIEW ACTUALLY DIFFERENT 
SAMPLE NOTEBOOK TO GET STARTED WITH 
AS WELL AND SIGN UP FOR AZURE AND 
NOTEBOOK AND TUTORIALS SET UP FOR 
YOU. NOTEBOOK TO GO AND GET STARTED 
AND ABLE TO GET STARTED WITH IT 
AND FIVE MINUTES TO GO IF ANYONE 
HAS ANY QUESTIONS AND CAN'T SEE 
IMMEDIATE WAY TO DO THAT BUT IF 
YOU CAN TALK AT END TO GET DETAILS 
AND COME BACK. DID YOU HAVE ANOTHER 
QUESTION? >> YEAH . SO CAN THIS 
BE -- >> SPEAK MORE SLOWLY. >> WHEN 
AZURE NOTEBOOKS READY CAN IT CAN 
RUN IN BATCH MODE? >> I WOULD NEED 
TO LOOK AT THAT AS WELL ACTUALLY 
AND I THINK IT IS STILL SOME OF 
THE FUNCTIONALITIES MISSING. JUST 
BEEN ABLE TO RUN AND EXPLORE DATA 
LIKE THIS. CAN DOUBLE-CHECK BUT 
LIKE I SAY, IT IS JUST LED'S AT 
THIS MOMENT IN TIME. >> BATCH MODE 
AND ALSO CAN BE DEPLOYED AS SERVICE, 
REST API. IF THERE'S NO MORE QUESTIONS 
IF YOU WANT TO GRAB COFFEE BEFORE 
EVERYONE ELSE DOES, I'M HAPPY ABOUT 
THAT. IF THERE'S ANY QUESTIONS. 
THANK YOU ALL MUCH FOR COMING AND 
