Free Python Bootcamp

(A Step towards Data Science)

(Sessions Start from 17th October 2021)

About The Program:

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a FREE BOOTCAMP on PYTHON. We organize Python Bootcamp Program for improving the knowledge and skills of the Students/Professionals, so that they can become expert in Python and get their Dream Job in Software Development Field in Big MNCs.

REGex Software Services’s “Free Python Bootcamp” program is a valuable resource for beginners. This program will introduce you to Python Programming from Basics to Advance. If you want to learn Python, REGex introduce this program for you.

Timing

09:00 PM – 11:00 PM (Sat & Sun)

Platform

YouTube

Duration

8 -10 Weeks [40+ Hours]

What People Tell About Us

What you will Learn

  • PYTHON CORE CONCEPTS
  • DATA TYPE, OPERATORS & CONTROL FLOW
  • COLLECTIONS / SEQUENTIAL DATATYPE
  • FUNCTIONS & FILES
  • OBJECT ORIENTED PROGRAMMING
  • MULTITHREADING & EXCEPTION HANDLING
  • REGULAR EXPRESSION
  • ANONYMOUS / LAMBDA FUNCTION
  • DECORATORS & GENERATOR
  • SERIALIZATION PICKLING

Study Material

  • E-Notes
  • Assignments & Poll Tests
  • 40+ hours on demand Live Video Lectures
  • Offline Access of Lecture Videos & Notes
  • 24*7 Mentorship Support

Output

  • Able to think out of the box
  • Understand Concepts of Python Programming from Basics to Advance
  • Become Expert in Programming in Python with OOPs Concepts, File Handling, Exception Handling, Collections, Serialization and many more.
  • Understand Python Libraries like: Numpy, Pandas etc.

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available

Live Projects

Get a chance to work on Industry Oriented Projects to implement your learning

24*7 Support

24*7 Mentorship Support available for all Students to clear all of your doubts

Opportunities

REGex provides Internship / Job opportunities to the best Students in different Companies.

Our Students Placed In

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Course Content

● Prerequisites Python Course
● Objectives of the Course
● Who should do the course
● Python Training Course Duration

● Introduction to Python
● History of Python
● Python Installation
● Python Ide’s Installation – Pycharm & Anaconda
● Statements
● Comments
● Variables in Python
● Memory Management

● Integers
● Float
● Complex
● Bool (Boolean)
● String / String Handling

● Python Operators and Operands
● Python Arithmetic Operators
● Python Relational Operators
● Python Comparison Operators
● Python Assignment Operators
● Python Bitwise Operators

● Python Conditional Statements
● Python Iterative Statements
● Python Interruptive Statement

● List & List Comprehension
● TUPLE
● SET
● Dictionary & Dictionary Comprehension

o Functions with Arguments
o Function with Return Keyword
o Types of Arguments
o Variable-Length Argument Variable – *args
o Variable-Length Keyword Argument Variable – **kwargs
o Nested Functions
o Closure
o Recursion Function

o Open File
o Read Data from File
o Write Data into File
o Append Data in File
o With Keyword
o Text Files
o CSV Files

o OOPS Principles
o Define Classes, Objects, Reference Variables, Self
o Python Class and Objects
o Types of Variables
o Types of Methods
o Inheritance
o Super Keyword
o Polymorphism (Overloading & Overriding)
o Abstraction
o Encapsulation

o Multi-Tasking
o Multi-Processing
o Multi-Threading
o Creating Child Thread
o Child Thread without creating a class
o Child Thread by extending Thread class
o Child Thread without extending thread class
o Daemon Threading

o Errors and Exception in Python
o Try Block
o Except Block
o Else Block
o Finally, Block
o Built-in Exception Handling
o User Defined Exception Handling

o Introduction Regular Expression
o Validating using Functions Like
o Search()
o Match()
o Findall()
o Finditer()
o Fullmatch()… etc
o UserID & Password Validation
o Input & Email Validation
o PanCard & Mobile Number Validation.

o Lambda
o Map
o Filter
o Reduce

o Introduction to Decorators
o Prerequisites for Decorators
o Nested Functions
o Closure Property
o Passing reference of Function Reference
o Function Decorators
o Method Decorators
o Class Decorators

o Introduction to Generators
o Yield Keyword
o Difference between Function & Generator

o Introduction to Serialization
o Structure and Container
o Pickle Module
o pickling built-in data structures
o byte strings
o binary
o json parsing
o construction – json, simple

o Numpy
o Pandas

For Frequent Course Updates and Information, Join our Telegram Group
For Webinar Videos and Demo Session, Join our Youtube Channel
Join MEARN Stack Industrial Internship/Training Program December 2021
Join Java Full Stack Internship/Training Program December 2021
Join DataScience Specialization Internship/Training Program December 2021
Explore Our Upcoming Internship/Training Program

Enroll Now

(Sessions Start from 17th October 2021)

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