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Coding Bytes is the Best Python Training, Course, Certification Institute in Delhi, Our Python Course leads the chart among the best Python Training Courses of Delhi NCR.

 

Python Course Fees: Rs. 14999/-

Python Course Duration: 3 months

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Python 

Course Highlights

  • Introduction to Python
  • Python Program Flow Control
  • Python File Operations
  • Python Object Oriented Programming
  • Python Regular Expression
  • Python Database Interaction
  • Python Multithreading
  • Django Framework
  • Data Science 
  • Python Pandas
  • NumPy Python
  • Contacting User Through Emails Using Python 

Python Course Details

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
  • 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 elseif
  • Simple for loops in python
  • For loop using ranges, string, list and dictionaries
  • Use of while loops in python Loop

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
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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 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
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 multithreading
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) Django Framework in Python
  • Django Introduction
  • Django Features
  • Django Installation
  • Apache Configuration
  • Virtual Environment Setup
  • Admin Interface
  • Django App
  • Django MVT
  • Django Model
  • Django View
  • Django Template
  • URL Mapping
  • Static Files Handling
  • Model Forms
  • Django Forms
  • Form Validation
  • File Upload
  • Database Connectitvity
14) Python Pandas
  • Python Pandas – Introduction
  • Python Pandas – Environment Setup
  • Introduction to Data Structures
  • Python Pandas – Series
  • Python Pandas – DataFrame
  • Python Pandas – Panel
  • Python Pandas – Basic Functionality
  • Descriptive Statistics
  • Function Application
  • Python Pandas – Reindexing
  • Python Pandas – Iteration
  • Python Pandas – Sorting
  • Working with Text Data
  • Options & Customization
  • Indexing & Selecting Data
15) NumPy Python
  • NumPy – Home
  • NumPy – Introduction
  • NumPy – Environment
  • NumPy – Ndarray Object
  • NumPy – Data Types
  • NumPy – Array Attributes
  • NumPy – Array Creation Routines
  • NumPy – Array from Existing Data
  • Array From Numerical Ranges
  • NumPy – Indexing & Slicing
  • NumPy – Advanced Indexing
  • NumPy – Iterating Over Array
  • NumPy – Array Manipulation
  • NumPy – Binary Operators
  • NumPy – String Functions
  • NumPy – Mathematical Functions
  • NumPy – Arithmetic Operations
  • NumPy – Statistical Functions
  • Sort, Search & Counting Functions

     

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