Boost Your Career with Best Python Course Institute in Delhi

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: 4 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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