Python Bootcamp 2021 Build 15 working Applications and | Enroll For Free | Udemy

Python Bootcamp 2021 Build 15 working Applications and | Enroll For Free | Udemy
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Python Bootcamp 2021 Build 15 working Applications and Games
Learn complete python with basics, data science, data visualisation, desktop graphical applications and python for web

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What you'll learn

  • Complete Python.
  • Python basics like data-types, loops, decision-makings, file handling, libraries, modules, date-times etc.
  • Terminal based programming applications using Python.
  • Artificial intelligent Python game.
  • Python for desktop applications and GUI programming.
  • Creating desktop applications using Tkinter with Python.
  • Using databases using Python.
  • Turtle graphics for creating graphical applications and motion using Python
  • Real working 5+ graphical games using Python.
  • Use of keyboard keys to move objects in your applications and in games using python
  • learn to build smart calculators and dictionaries using python.
  • Datascience and data visualisation using python.
  • data visualisation using Matplotlib in python.
  • data visualisation using Seaborn in python.
  • data visualisation using pandas in python.
  • data visualisation using poorly and cufflinks in python.
  • data analysis using Numpy and pandas in python.
  • geoplotting using python.
  • learn to build an automatic plotter for data visualisation.
  • learn to build big data analysis project with more than 60million + data using python.
  • basemaps using python.

course Description :

  • Python for graphical applications.
  • Tkinter - for building desktop applications and actually user interface.
  • Turtle graphics - for learning graphical design using python and to learn controlling objects in computer using keyboard.
  • Databases - for learning that how you can store the data of your games, apps and programs.
  • Python for datascience.
  • Numpy - Learn to create data in form of datasets and analysing data using python.
  • Pandas - To create data frames and analyse them and to visualise data in form of 3-D graphs and 2-D graphs.
  • Matplotlib - To create data visualisations.
  • Seaborn - To create animated plots.
  • Plotly and cufflinks - To create interactive plots.
  • Geographical plotting - To create global scale plots.
  • Python date and time functions.
  • File handling
  • Controll objects using keys.
  • Creating infinite graphical designs.
  • Functions and methods in python
  • Loops and conditionals.
  • Basics and datatypes in python.

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