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Python Syllabus for deep learning.

Python Syllabus By Bikesh Srivastava


1: Introduction To Python

  • Installation and Working with Python
  • Understanding Python variables
  • Python basic Operators
  • Understanding python blocks

 2: Python Data Types

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

 3: Python Program Flow Control

  • Conditional blocks using if, else and else if
  • 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 

4: Python Functions, Modules And Packages

  • 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

5: Python String, List And Dictionary Manipulations

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

6: Python File Operation

  • Reading config 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

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

8: Python Regular Express ion

  • 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

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

10: Python Database Interaction

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

11: Python Multithreading

  • Understanding threads
  • Forking threads
  • Synchronizing the threads
  • Programming using multi threading

12: Contacting User Through Emails Using Python

  • Installing smtp python module
  • Sending email
  • Reading from file and sending emails to all users addressing them
  • directly for marketing

13: Python CGI Introduction

  • Writing python program for CGI applications
  • Creating menus and accessing files
  • Server client program 

14: Demo Project.
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Author: Bikesh Srivastava - Friday, 25 May 2018

2 comments to "Python Syllabus for deep learning."

  1. Nice blog it is informative thank you for sharing Python Online Training

    ReplyDelete
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