Ko da yake da alama sauran watanni ne kawai mu isa 2020, waɗannan watanni kuma suna da mahimmanci a fagen haɓaka software. Anan a cikin wannan labarin, zamu ga yadda shekara mai zuwa 2020 za ta canza rayuwar masu haɓaka software!
Ci gaban Software na gaba yana nan!
Haɓaka software na gargajiya game da haɓaka software ta hanyar rubuta lamba da bin wasu ƙayyadaddun ƙa'idodi. Amma ci gaban software na yau ya ga canji mai ma'ana tare da ci gaba a cikin Ilimin Artificial Intelligence, Koyon Injin, da Zurfafa Koyo. Tare da haɗin waɗannan fasahohi guda uku, masu haɓakawa za su iya gina hanyoyin magance software waɗanda ke koyon umarnin kuma ƙara ƙarin fasali da alamu a cikin bayanan da ake buƙata don sakamakon da ake so.
Mu Gwada Tare Da Wasu Code
A tsawon lokaci, tsarin ci gaban software na cibiyar sadarwa na jijiyoyi sun zama mafi rikitarwa dangane da haɗin kai da kuma matakan ayyuka da musaya. Masu haɓakawa na iya gina hanyar sadarwa mai sauƙi mai sauƙi tare da Python 3.6. Ga misalin shirin da ke yin rarrabuwar kawuna tare da 1 ko 0.
Tabbas, zamu iya farawa ta hanyar ƙirƙirar ajin cibiyar sadarwa na jijiyoyi:
shigo da numpy as np
X=np.array([[0,1,1,0],[0,1,1,1],[1,0,0,1]])
y=np.array([[0],[1],[1]])
Aiwatar da aikin Sigmoid:
def sigmoid ():
return 1/(1 + np.exp(-x))
def derivatives_sigmoid ():
return x * (1-x)Horar da Samfurin Tare da Nauyi na Farko da Ra'ayi:
epoch=10000
lr=0.1
inputlayer_neurons = X.shape[1]
hiddenlayer_neurons = 3
output_neurons = 1
wh=np.random.uniform(size=(inputlayer_neurons,hiddenlayer_neurons))
bh=np.random.uniform(size=(1,hiddenlayer_neurons))
wout=np.random.uniform(size=(hiddenlayer_neurons,output_neurons))
bout=np.random.uniform(size=(1,output_neurons))Don masu farawa, idan kuna buƙatar taimako game da hanyoyin sadarwar jijiya, zaku iya tuntuɓar ku .Ko, za ku iya hayar masu haɓaka AI/ML don yin aiki akan aikin ku.
Gyara Code Tare da Fitar Layer Neuron
hidden_layer_input1=np.dot(X,wh)
hidden_layer_input=hidden_layer_input1 + bh
hiddenlayer_activations = sigmoid(hidden_layer_input)
output_layer_input1=np.dot(hiddenlayer_activations,wout)
output_layer_input= output_layer_input1+ bout
output = sigmoid(output_layer_input)
Kuskuren Kirgawa don Ƙoyayyun Lambobi
E = y-output
slope_output_layer = derivatives_sigmoid(output)
slope_hidden_layer = derivatives_sigmoid(hiddenlayer_activations)
d_output = E * slope_output_layer
Error_at_hidden_layer = d_output.dot(wout.T)
d_hiddenlayer = Error_at_hidden_layer * slope_hidden_layer
wout += hiddenlayer_activations.T.dot(d_output) *lr
bout += np.sum(d_output, axis=0,keepdims=True) *lr
wh += X.T.dot(d_hiddenlayer) *lr
bh += np.sum(d_hiddenlayer, axis=0,keepdims=True) *lr
fitarwa:
print (output)
[[0.03391414]
[0.97065091]
[0.9895072 ]]Duk da yake yana da kyau a koyaushe a ci gaba da lura da sabbin yarukan shirye-shirye da dabarun ƙididdigewa, ya kamata masu shirye-shiryen su san game da sabbin kayan aikin da yawa waɗanda ke taimakawa yin app ɗin su dacewa da sabbin masu amfani.
A cikin 2020, masu haɓaka software yakamata suyi la'akari da haɗa waɗannan kayan aikin haɓaka software guda 5 cikin samfuran su ba tare da la'akari da yaren shirye-shirye da suke amfani da shi ba:
1. Tsarin Harshen Halitta (NLP)
Tare da chatbot yana ƙarfafa sabis na abokin ciniki, NLP yana samun hankalin masu shirye-shirye da ke aiki akan haɓaka software na zamani. Suna nema kamar Python don haɗa NLP da sauri cikin chatbots, mataimakan dijital, da samfuran dijital. A tsakiyar 2020 ko nan ba da jimawa ba, zaku ga NLP ya zama mafi mahimmanci akan komai daga kasuwancin dillali zuwa motoci masu zaman kansu, da na'urori a cikin gida da ofis.
Ci gaba tare da mafi kyawun kayan aikin haɓaka software da fasaha, zaku iya tsammanin masu haɓaka software za su yi amfani da NLP ta hanyoyi da yawa daga ƙirar mai amfani da murya zuwa mafi sauƙi don kewaya menus, nazarin ji, gano mahallin, motsin rai, da samun damar bayanai. Duk za su kasance ga mafi yawan masu amfani da kasuwanci za su iya cimma kusan dala biliyan 430 a cikin ribar samarwa ta 2020, kamar yadda bayanan IDC da Deloitte ya ambata.
2. GraphQL Maye gurbin REST Apis
A cewar masu haɓakawa a kamfani na wanda kamfani ne na haɓaka software na ketare, REST API yana rasa rinjayensa akan sararin samaniya saboda jinkirin ɗaukar bayanai da ke buƙatar yin shi daga URLs da yawa daban-daban.
GraphQL sabon salo ne kuma mafi kyawun madadin tsarin gine-ginen da ya rage wanda ke jan duk bayanan da suka dace daga shafuka masu yawa tare da buƙatu ɗaya. Yana inganta hulɗar abokin ciniki da uwar garken kuma yana rage jinkirin da ke sa app ɗin ya fi jin daɗin mai amfani.
Kuna iya haɓaka ƙwarewar haɓaka software lokacin da kuke amfani da GraphQL don haɓaka software. Hakanan yana buƙatar ƙasa da ƙididdigewa fiye da REST Api kuma yana ba da damar kunna hadaddun tambayoyin cikin ƴan layukan sauƙi. Hakanan za'a iya kawota tare da adadin sadaukarwa wanda ke sauƙaƙa wa masu haɓaka software don amfani da shi akan harsunan shirye-shirye daban-daban da suka haɗa da Python, Node.js, C++, da Java.
A halin yanzu, GraphQL yana tallafawa ƙungiyar masu haɓakawa ta:
- Ƙaddamar da ba a kai-komo ba tare da samun matsala ba
- Tabbatarwa da nau'in duba lambobin
- Takaddun API masu Haɓakawa ta atomatik
- Ta hanyar samar da cikakkun saƙonnin kuskure
- Ƙara ƙarin aiki zuwa teburin: "biyan kuɗi" don karɓar saƙonnin ainihin lokaci daga uwar garken
3.Low/Babu Code
Duk ƙananan kayan aikin haɓaka software suna ba da fa'idodi da yawa. Ya kamata ya zama mai inganci sosai a cikin rubuta shirye-shirye da yawa daga karce. Ƙananan ko babu-ladi yana ba da lambar da aka riga aka tsara wanda za a iya shigar da shi cikin manyan shirye-shirye. Wannan yana ba da damar har ma masu tsara shirye-shirye don ƙirƙirar samfuran hadaddun cikin sauri da sauƙi da haɓaka yanayin yanayin ci gaban zamani.
A cewar rahoton da ya raba , An riga an ƙaddamar da kayan aikin no / low-code a cikin tashoshin yanar gizo, tsarin software, aikace-aikacen hannu da sauran wurare. Kasuwar ƙananan kayan aikin code za su girma zuwa dala biliyan 15 ta 2020. Waɗannan kayan aikin suna sarrafa komai kamar sarrafa dabarun aiki, tace bayanai, shigo da kaya, da fitarwa. Anan ne mafi kyawun dandamali mara ƙarancin / babu lambar da za a bi a cikin 2020:
- Microsoft PowerApps
- Mendix
- Kayan aiki na waje
- Zoho Mahalicci
- Salesforce App Cloud
- Saurin tushe
- Takalmin bazara
4. 5G Wave
Haɗin 5G zai yi tasiri sosai ga ci gaban wayar hannu / software, ci gaban yanar gizo kuma. Bayan haka, a cikin fasaha kamar IoT duk abin da aka haɗa. Don haka, software na na'urar za ta yi amfani da kadarorin mara waya mai sauri zuwa cikakkiyar damar su tare da 5G.
A cikin kwanan nan hira da , Dan Dery, mataimakin shugaban samfur a Motorola, ya bayyana cewa "A cikin shekaru masu zuwa, 5G zai sadar da musayar bayanai cikin sauri, mafi girman bandwidth, da kuma hanzarta software na wayar zuwa sau 10 fiye da fasahar mara waya ta data kasance."
Ta wannan hanyar, kamfanonin haɓaka software za su yi aiki don haɗa 5G cikin aikace-aikacen zamani. Fitowar 5G tana tafiya da sauri, fiye da masu aiki 20 sun sanar da haɓaka hanyoyin sadarwar su. Don haka, masu haɓakawa yanzu za su fara aiki don ɗaukar abin da ya dace don amfani da 5G. Fasahar za ta inganta da yawa masu zuwa:
- Tsaro na shirin cibiyar sadarwa, musamman don yankan hanyar sadarwa.
- Za ta samar da sabbin hanyoyi don sarrafa bayanan mai amfani.
- Zai ba da damar ƙara sabbin ayyuka zuwa aikace-aikace tare da ƙarancin jinkiri.
- Zai yi tasiri akan haɓaka tsarin kunna AR/VR.
5. "Tabbaci" mara iyaka.
Tabbatarwa yana ƙara zama ingantaccen tsari wajen kare mahimman bayanai. Ƙwaƙwalwar fasahar ba wai kawai tana da rauni ga software na kutse ba, har ma tana tallafawa bayanan ɗan adam har ma da ƙididdigar ƙididdiga. Amma kasuwar ci gaban software ta riga tana ganin ɗimbin sabbin nau'ikan tantancewa, kamar nazarin murya, nazarin halittu, da sanin fuska.
A wannan lokaci, masu kutse suna neman hanyoyi daban-daban don juyar da bayanan masu amfani da yanar gizo da kalmomin shiga. Kamar yadda masu amfani da wayar tafi da gidanka sun riga sun saba shiga wayoyinsu tare da hoton yatsa ko yatsa ko kuma ta hanyar duba fuska, don haka tare da kayan aikin tantancewa ba za su buƙaci sabbin dabaru don tantancewa ba, haka kuma yiwuwar satar yanar gizo za ta ragu. Anan akwai wasu kayan aikin tantance abubuwa da yawa tare da ɓoyewar SSL.
- Soft Tokens suna juya wayowin komai da ruwan ku zuwa masu tabbatar da abubuwa da yawa masu dacewa.
- Tsarin EGrid abu ne mai sauƙi don amfani kuma sanannen nau'i na masu tabbatarwa a cikin masana'antar.
- Wasu daga cikin mafi kyawun software na tantancewa don kasuwanci sune: RSA SecurID Access, OAuth, Ping Identity, Authx, da Aerobase.
Akwai kamfanoni masu haɓaka software a Indiya da Amurka suna yin bincike mai zurfi a cikin kimiyyar tantancewa da ƙididdiga tare da ci gaba ga AI don sadar da ingantaccen murya, fuska, ɗabi'a, da software na tantancewar halittu. Yanzu, zaku iya amintar da tashoshi na dijital da haɓaka damar dandamali.
Endnotes
Ya bayyana cewa rayuwa ga masu shirye-shirye a cikin 2020 za ta zama ƙasa da rikitarwa saboda saurin haɓaka software na iya yin sauri. Kayan aikin da ake da su za su zama sauƙin amfani. A ƙarshe, wannan ci gaban zai haifar da ƙirƙirar duniya mai ɗorewa zuwa sabon zamani na dijital.
source: www.habr.com