Python Training

Learn Python Online Training

(5.0)

SV Trainings Python Online Training – Enrol now for Python Online Training Course and empower programming language skills. Python course teaches students how to develop Python applications. Topics covered include the Python programming language syntax, OO programming using Python, exception handling, file input/output, Database connectivity. This course includes real time project provides lab sessions for hands on practice.

Knowledge of programming languages such as C or C++ is desirable but not mandatory.

What are the objectives of Python Online Training?

Upon completion of this course, students will be able to:

  • Run a Python application
  • Navigate through the API docs
  • Use the Object Oriented paradigm in Python
  • Understand the division of classes into Python packages
  • Use Exceptions to handle run time errors

Who Should do PythonCertification Training Online?

This Python course is designed for application programmers and designers planning to develop applications using the Python.

  • Bigdata professionals
  • Analytics professionals
  • Software Developers
  • BI and Project Managers
  • ETL Developers
  • Beginners

Demo Recordings

Features

  • Live Python Training by working professionals
  • Expert & Certified Trainer
  • 24x7 Support
  • Practical approach
  • Real time use cases and scenarios

FAQs

What Are The Modes of Training?
SV Trainings offers Live Online Training. Apart from that we also provide classroom training. All our trainers have relevant industry experience.
Who Are The Trainers?
All our trainers have more than 10+ years of real time industry experience. Our trainers have relevant experience in implementing solutions for various queries asked by learners. We also verifies technical experience of trainers.
What If I Miss A Class?
We record each session you attend and we will also share all session recordings with you. Or else you can attend the missed session, in any other batch.
How Will I Work Real Time?
Trainer will give you server access and make sure real time and practical training sessions required for in-depth understanding of course.
If I cancel My Enrolment, Will I Get Refund?
If you have enrolled for course, and paid fee, but want to cancel enrolment for some reason, it can be attained within 3 days of enrolment. Refunds will be delivered within 30 days.
Will I Be Working on A Project?
Yes. You will be work on a real time project.
Is there any Discounts / Offers I Can Get?
Yes. There are some discounts available if the participants are more than 2.
Are These Classes Delivered Online?
Yes. All the sessions are Online thus promoting one to one trainer and learner interaction.
What if I have More Queries?
Email us at info@svtrainings.com or just give us a call at +91-9642373173.
Can I attend a Demo Session before enrolment?
Yes. You can book or register for a free demo session by mailing us.
Will I Get Placement Assistance?
We provide placement assistance by routing relevant career opportunities to you when they come up.

Python: Course Content

Course Length: 32 Hours

Course Description:

This course teaches students how to develop Python applications. Topics covered include the Python programming language syntax, OO programming using Python, exception handling, file input/output, Database connectivity.

Who Should Attend:

This course is designed for application programmers and designers planning to develop applications using the Python.

Benefits of Attendance:

Upon completion of this course, students will be able to:

  • Run a Python application.
  • Navigate through the API docs.
  • Use the Object Oriented paradigm in Python
  • Understand the division of classes into Python packages.
  • Use Exceptions to handle run time errors.

Prerequisites:

Knowledge of programing languages such as C or C++ is desirable but not mandatory.

Course Outline:

  • 1. Introduction
    • 1.1 Understanding Open source Model
    • 1.2 Installing Python in Linux/Windows
    • 1.3 Understanding interpreters
      • 1.3.1 ipython
      • 1.3.2 bpython
    • 1.4 Getting started with Python
    • 1.5 Setting up IDE and various IDEs
    • 1.6 Creating first Python Program
      • 1.6.1 Understanding sha-bang
      • 1.6.2 understanding .py extension
    • 1.7 How to run Python programs

2. Types and Operators

  • 2.1 Introduction to datatypes
  • 2.2 Type Casting in Python
  • 2.3 Various ways of printing
  • 2.4 Boolean Operators
  • 2.5 Playing with numbers
  • 2.6 Playing with Strings
    • 2.6.1 String Quotes
    • 2.6.2 Raw Strings
  • 2.7 Docstring and Comments
  • 2.8 Accepting Inputs

3. Control Statements

  • 3.1 Conditional Statements
    • 3.1.1 Boolean expressions
    • 3.1.2 Logical Operators
    • 3.1.3 Using If condition
    • 3.1.4 Pass
  • 3.2 Looping Statements
    • 3.2.1 for
    • 3.2.2 while
    • 3.2.3 range
    • 3.2.4 break
    • 3.2.5 continue

4. Lists

  • 4.1.1 What are Lists?
  • 4.1.2 Mutable Lists
  • 4.1.3 In Operator
  • 4.1.4 Traversing a List
  • 4.1.5 List operations
  • 4.1.6 Indexing
  • 4.1.7 Slicing
  • 4.1.8 Converting a List to String
  • 4.1.9 Converting a String to List
  • 4.1.10 Aliasing in Lists
  • 4.1.11 Functions in Lists

5. Tuples

  • 5.1.1 What is Tuples.
  • 5.1.2 Indexing in Tuples
  • 5.1.3 Slicing in Tupels
  • 5.1.4 Immutable tupels
  • 5.1.5 Packing and Unpacking
  • 5.1.6 Lists and Tuples
  • 5.1.7 Functions in Tuples

6. Dictionaries

  • 6.1.1 What are dictionaries
  • 6.1.2 Keys and Values
  • 6.1.3 In Operator
  • 6.1.4 Looping in Dictionaries
  • 6.1.5 Lookups in Dictionaries
  • 6.1.6 Functions in Dictionaries
  • 6.1.7 Dictionaries versus sets

7. Functions

  • 7.1 Function basics
  • 7.2 Scope rules in functions
  • 7.2.1 Global Scope
  • 7.2.2 Local Scope
  • 7.2.3 Locals
  • 7.2.4 Globals
  • 7.2.5 Global
  • 7.3 Understanding the return key word.
  • 7.4 Argument Passing
  • 7.4.1 Default Argument List
  • 7.4.2 Keyword Arguments
  • 7.5 Understanding the docstrings
  • 7.6 List Comprehensions
  • 7.7 Lambda, map, filters

8. Modules

  • 8.1 What are modules?
  • 8.2 Understanding the namespaces
  • 8.3 Various ways of importing
  • 8.4 “reload” operation
  • 8.5 Understanding about sys.path
  • 8.6 dir() function
  • 8.7 Understanding the __main__ and __name__ operations
  • 8.8 Installation of a module

9. Files

  • 9.1 Fancier Output Formatting
  • 9.2 Reading and writing files
  • 9.3 Methods of File Objects
  • 9.3.1 Reading
  • 9.3.2 Writing
  • 9.3.3 Modify

10. Exceptions

  • 10.1 What are exceptions
  • 10.2 Simulating errors
  • 10.3 Various types of exceptions
  • 10.4 Exception handling – try, except, else, finally
  • 10.5 Trapping errors
  • 10.6 Raising exceptions
  • 10.7 Customized exceptions

11. Classes

  • 11.1 OOP: What is Object Oriented Program
  • 11.2 Understanding Classes in Python
  • 11.3 Methods in Classes
    • 11.3.1 Constructor
    • 11.3.2 Magic Method
  • 11.4 Understanding Inheritance
  • 11.5 Understanding Polymorphism
  • 11.6 Understanding Encapsulation
  • 11.7 Operator Overloading

12. Introduction to Advanced Concepts

  • 12.1 Regular Expressions
  • 12.2 Python Standard Library – os, sys, shutil, datetime
  • 12.3 XML Processing

13. Advanced Python-1

  • 13.1 Numerical Processing with Numpy

14. Advanced Python-2

  • 14.1.1 Socket Programming – TCP/IP, Client/Server Sides, socket module
  • 14.1.2 Threads – Thread and Threading Modules, communication and synchronization

15. Advanced Python-3

  • 15.1.1 Python CGI
  • 15.1.2 Web Scraping using Scrapy (Python)
  • 15.1.3 Handling Web Pages - Introduction to Urllib and Urllib2 Module

5.0

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Reviews
Rasmika
(5.0)

Hi I am Rasmika, I have done my Python Course in SV Trainings. My trainer was unique and more talented person. He taught subject in real time manner. Now I got my dream job. I am very happy, credits are fully goes to my trainer. Thanks to my Trainer and SV Trainings.

Chandra Sekhar
(5.0)

The training I got from SV Trainings is Python is fully satisfied because of trainer knowledge in subject. The course content is great. The way he teaches each session was impressive. I have gained complete knowledge on all concepts. Thanks for everyone in SV Trainings.

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No.of Classes : 30 Hrs
Lab Sessions : 10 Hrs
Certification : Yes
Satisfied Learners : 1236

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