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  • Arduino
  • Machine Learning & AI
  • Robotic Process Automation
  • Internet of thing
  • Rubic cube solving
  • Electrical Engineering
  • Content  Creating

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spealized the work. Be ready for the future

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1. Cultivate a Growth Mindset Cultivating a growth mindset includes skills to stay relevant, be curious, continuously learn and grow and adapt to change. Role descriptions and tasks often change, especially as digital technologies continually alter the way we work. Your employer will want to know that you’ll be able to pick up new tasks and that you wouldn’t get frustrated when something is difficult or doesn’t work straight away. This includes being resilient and aiming high, being curious and open to new opportunities and feedback. 2. Learn to Earn Learn to Earn skills include the ability to find successfully, apply and interview for a job and to operate effectively within the workforce. These skills are used in many jobs on a day to day basis and include skills such as numeracy, literacy, time management and organisation. 3. Build Tech Know-How In almost every job, you have to use digital devices or technologies in one way or another. Your employer will want to know that you can lea
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lest just create a basic bot operation in python

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 hers the code ....................................python code ...................................................................... name=(input("whats your name :")) print("hello",name) ans=(input("have you thought of black hole today: say yess or no!")) print("iam so glad you said {}, I was thinking the same thing".format(ans)) ........................................................................................................................ output: whats your name :animesh hello animesh have you thought of black hole today: say yess or no!yess! iam so glad you said yess!, I was thinking the same thing hears another: ...........................................python code .......................................................................... #print("how intillegenat are you in the range of 0-10?:") x=(int(input("how intillegenat are you in the range of 0-10?:"))) if (x>=5 and x<=10):     print("you are in
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scatterplot/ violon plot /histogram /boxplot

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 dataset addresss=[" https://data.gov.uk/dataset/bb3520e6-dd76-46d9-8bdd-86f0a2178be9/organogram-of-staff-roles-salaries/datafile/cb432dfd-a5eb-4eaa-8523-961601d5601b/preview#organogram "] (save dataset as uk_statistic) . uk=pd.read_csv("uk_statistic") .......................boxplot..................................................... x=uk['Salary Cost of Reports (£)'] y=uk['Actual Pay Floor (£)'] plt.boxplot(x) plt.title("UK Sststistics") plt.xlabel('salary cost of Report') plt.ylabel('Actual pay floor') plt.show() .........................................violin plot................................................... x=uk['Salary Cost of Reports (£)'] #y=uk['Actual Pay Floor (£)'] plt.violinplot(x) plt.show ..................................................histogram................................................ title = 'UK Sststistics' plt.figure(figsize=(10,6)) plt.hist(uk['Actual Pay Floor (£
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