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This Python language course Training aims to teach step by step python programming tutorial for beginners and experienced with real-time examples. We cover hands-on training with certification. This tutorial is step by step training with examples like programming fundamentals such as data types, structures, variables, loops, and functions with live project practice. In this Python training you will learn introduction, advantage, job opportunity, python data type, function model with twitter and facebook, operation, database handling and use case. This Python course is make you ready to explore you in the field of functions in Python, Web scraping, Machine Learning, Artificial Intelligence and Data Science. The Pyhton training also impart your skills on the basic and advance conceptual frameworks of Python.

  • Python was the fastest growing programming language.
  • It is the 5th most popular programming language in the world, and the 1st in data science and machine learning market.
  • Python Pays Well
  • Demand for Python Developers is very high
  • It is also used by industry giants like Google, Amazon, and Netflix to generate insights, and build products.

Stay relevant and competitive with emergent technologies like Machine learning, Big data & Hadoop & Artificial intelligence and many other is the need of the day. There would be growing demand for skilled data scientists and machine learning with Python professionals across all industries. This training makes suited for participants at all levels of experience. We recommend this course training especially for the following professionals:

Below are the professionals which should definitely take this course.

  • Beginners & Fresher’s
  • Programmers, Developers, Technical Leads, Architects
  • Data Scientists & Data Analyst
  • Business Analysts
  • Business Intelligence Manager
  • Statisticians and Analysts
  • Project Managers

Why Should I join Python Training?

  • Industry Real Time Trainer
  • 100% Hands-on Training
  • Live Case examples
  • Lot of practice Exercise
  • Industry Use case Practice
  • Job Assistance
  • Certification Assistance
  • Classroom Session
  • Duration – 32 Hrs
  • Introduction
  • Data Types
  • Program Flow Control
  • Functions, Modules, and Packages(Twitter, Facebook)
  • String, List, and Dictionary Manipulations
  • File Operation
  • Object-Oriented Programming – Oops
  • Regular Expression
  • Exception Handling
  • Database Interaction

Session 6- Python File Operation

  • Reading configure files in python
  • Writing log files in python
  • Understanding read functions, read(), readline() and readlines()
  • Understanding write functions, write() and writelines() Manipulating file pointer using seek
  • Programming using file operations

Session 7- Python Object Oriented Programming – Oops

  • Concept of class, object and instances Constructor, class attributes and destructors
  • Real time use of class in live projects
  • Inheritance , overlapping and overloading operators
  • Adding and retrieving dynamic attributes of classes Programming using Oops support

Session 8- Python Regular Expression

  • Powerful pattern matching and searching
  • Power of pattern searching using regex in python
  • Real time parsing of networking or system data using regex Password, email, url validation using regular expression
  • Pattern finding programs using regular expression

Session 9- Python Exception Handling

  • Avoiding code break using exception handling
  • Safe guarding file operation using exception handling
  • Handling and helping developer with error code Programming using Exception handling

Session 10- Python Database Interaction

  • SQL Database connection using python Creating and searching tables
  • Reading and storing config information on database Programming using database connection

Session 11- Sample Project

Session 1- Python

  • Introduction of Python
  • Why learn Python
  • Job Opportunities with Python
  • Advantages & Disadvantages of Python
  • Installation and working with Python
  • Understanding Python variables
  • Python basic operators
  • Understanding Python blocks

Session 2- Python Data Types

  • Introduction
  • Declaring and using Numeric data types: int, float, complex Using string data type
  • String operations
  • Defining list and list slicing
  • Use of Tuple data type

Session 3- Python Program Flow Control

  • Conditional blocks using if, else and elif Simple for loops in python
  • For loop using ranges, string, list and dictionaries Use of while loops in python
  • Loop manipulation using pass, continue, break and else Programming using Python conditional and loops block

Session 4- Python Functions, Modules And Packages (Twitter, Facebook)

  • Organizing python codes using functions
  • Organizing python projects into modules Importing own module as well as external modules
  • Understanding Packages
  • Powerful Lamda function in python
  • Programming using functions, modules and external packages

Session 5- Python String, List And Dictionary Manipulations

  • Building blocks of python programs
  • Understanding string in build methods
  • List manipulation using in build methods
  • Programming using string, list and dictionary in build functions

Session 2- Python Data Types

  • Introduction
  • Declaring and using Numeric data types: int, float, complex Using string data type
  • String operations
  • Defining list and list slicing
  • Use of Tuple data type

Session 3- Python Program Flow Control

  • Conditional blocks using if, else and elif Simple for loops in python
  • For loop using ranges, string, list and dictionaries Use of while loops in python
  • Loop manipulation using pass, continue, break and else Programming using Python conditional and loops block

Session 4- Python Functions, Modules And Packages (Twitter, Facebook)

  • Organizing python codes using functions
  • Organizing python projects into modules Importing own module as well as external modules
  • Understanding Packages
  • Powerful Lamda function in python
  • Programming using functions, modules and external packages
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