Project Description

Python Training Course Overview:

Master in python programming from beginner to the advanced level taught by industry professionals online. Through this python online training course, you will get hands-on various concepts of python programming through different concepts like data operations, conditional statements, shell scripting, and Django and its application in different projects online and finally makes you get certified on python programming

Course Content

Python Environment Setup and Essentials

  • Introduction to Python Language
  • Features, the advantages of Python over other programming languages
  • Python installation – Windows, Mac & Linux distribution for Anaconda Python
  • Deploying Python IDE
  • Basic Python commands, data types, variables, keywords and more

Python language Basic Constructs

  • Built-in data types in Python
  • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
  • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
  • Loop and control statements while, for, if, break, else, continue.

OOP concepts in Python

  • How to write OOP concepts program in Python
  • Connecting to a database
  • Classes and objects in Python
  • OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
  • Python functions, return types and parameters
  • Lambda expressions

Database connection

  • Understanding the Database, need of database
  • Installing MySQL on windows
  • Understanding Database connection using Python.

NumPy for mathematical computing

  • Introduction to arrays and matrices
  • Broadcasting of array math, indexing of array
  • Standard deviation, conditional probability, correlation and covariance.

SciPy for scientific computing

  • Introduction to SciPy
  • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.

Matplotlib for data visualization

  • How to plot graph and chart with Python
  • Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.

Pandas for data analysis and machine learning

  • Introduction to Python dataframes
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
  • Various data operations like selecting, filtering, sorting, viewing, joining, combining

Exception Handling

  • Introduction to Exception Handling
  • Scenarios in Exception Handling with its execution
  • Arithmetic exception
  • RAISE of Exception
  • What is Random List, running a Random list on Jupyter Notebook
  • Value Error in Exception Handling.

Multi Threading & Race Condition

  • Introduction to Thread, need of threads
  • What are thread functions
  • Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread Creating a Multithread, finishing the multithrePython Packages, import in packages, various ways of accessing the packagesads.
  • Understanding Race Condition, lock and Synchronization.

Packages and Functions

  • Intro to modules in Python, need of modules
  • How to import modules in python
  • Locating a module, namespace and scoping
  • Arithmetic operations on Modules using a function
  • Intro to Search path, Global and local functions, filter functions
  • Python Packages, import in packages, various ways of accessing the packages
  • Decorators, Pointer assignments, and Xldr.

Web scraping with Python

  • Introduction to web scraping in Python
  • Installing of beautifulsoup
  • Installing Python parser lxml
  • Various web scraping libraries, beautifulsoup, Scrapy Python packages
  • Creating soup object with input HTML
  • Searching of tree, full or partial parsing, output print