Python Libraries and Applications

  • Learn important concepts of data libraries of Python programming language like Pandas, NumPy, Matplotlib, OpenCV, Pygame, Tkinter etc.
  • Important concepts of web development frameworks like Django.
  • Projects & application programs

What this course covers

  • This course covers revision on the basic concepts of Python programming language
  • This course includes advanced concepts & important data libraries of Python like Pandas, NumPy, SciPy, Matplotlib, OpenCV, Pygame, Tkinter etc. which are of great use in fields like Machine Learning, Data Science, Data Analytics etc.
  • It also gives an overview of Web development features with Python and its related frameworks like Django.
  • Includes practice programs, assignments & practical labs using the concepts of Python programming language

Requirements for this course

  • Must have knowledge of basic concepts of Python programming language
  • Machine with Windows, Linux or Mac OS X Operating System

Who can benefit from this course

  • Candidates studying in higher secondary & graduation
  • Software Developers and Testing professionals wants to work towards automation
  • Data Scientists, Data Analysts, Network & Automation Engineers
  • Whoever wants to work in the field of Data Science, Machine Learning, Artificial Intelligence

Course Syllabus

  • Python Libraries – NumPy
    • NumPy Introduction
    • NumPy create arrays
    • NumPy array indexing
    • NumPy array slicing
    • NumPy copy
    • NumPy shape, reshape
    • NumPy join, split
    • NumPy search
    • NumPy sort
  • Data libraries in Python – Pandas
    • Data analysis in Python
    • Pandas library
    • Pandas Series
    • Pandas DataFrames
    • Pandas Read Json, CSV
    • Pandas operations
    • Python for Statistics
  • Python Libraries – Matplotlib
    • Matplotlib Introduction
    • Matplotlib pyplot
    • Matplotlib plotting
    • Matplotlib markers
    • Matplotlib line
    • Matplotlib labels
    • Matplotlib grid
    • Matplotlib scatter
    • Matplotlib bars
    • Matplotlib histograms
    • Matplotlib pie charts
  • Python Libraries – SciPy
    • SciPy Introduction
    • SciPy constants
    • SciPy optimizers
    • SciPy sparse data
    • SciPy graphs
    • SciPy spatial data
    • SciPy matlab arraya
    • SciPy interpolation
  • Python Library – Tkinter
    • Introduction to Tkinter
    • Basic Widgets
    • Top level Widgets
    • Geometry Management
    • Binding Functions
    • Images in Tkinter
    • Tkinter Advanced
  • Python Library – Pygame
    • Pygame Basics
    • Pygame Surface
    • Pygame Clock
    • Pygame Blit
    • Pygame Adding Images
    • Pygame Rect
    • Pygame Keydown
    • Pygame Draw
    • Pygame Text & Font
    • Pygame Sprite and Collision detection
    • Pyglet
  • OpenCV with Python
    • Introduction to computer vision
    • Computer processing of an image
    • Basics of OpenCV
    • Image detection using OpenCV
    • Motion detector using OpenCV
  • Python – Web Development Frameworks
    • What are frameworks in Python
    • Use of frameworks
    • Frameworks in Python – Django, Web2Py, Flask
  • Django – Web Development
    • What is Web Development
    • Django introduction
    • Django web development – Demo
  • Web Scraping
    • What is web scraping
    • Requirement for web scraping
    • Libraries used for web scraping
  • Python Application and Projects
    • Project application to create calculator
    • Project application to create tic-tac-toe game
    • Project application for typing speed test
    • Project application to create alarm clock
    • Project application for face detection
    • Project application for eye detection
    • Project application for data analysis
    • Project application for plotting of simulation data
    • Project guidance for real time web applications
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Python Libraries and Applications

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