Python Online Training

Python Online Training

(5.0)

Python is a powerful open source and flexible language which is easy to learn and easy to use. For over a decade, Python has been used in highly quantitative domains like physics, finance, oil, gas and signal processing. Our Python Courseis not only focus on basic concepts but also helps one to gain knowledge in advanced concepts of data science. This Python Online Training program is a step by step guide with extensive hands-on. Leaner can also get various assignments and study material which help them to gain practical knowledge in Python. Our Python course helps you to gain knowledge of open source model, types and operators, control statements, lists, tuples, dictionaries, functions, modules, files, exceptions, classes & several advanced Python concepts.

Python is a favourite option for data scientists who use it for developing machine learning applications.

Course Content

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. 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
Why Python

What are the Objectives of Python Certification Course?

Python Certification course will help you to gain in-depth experience on writing Python code for big data systems like Hadoop and Spark. Learner will also work on real time project and get hands on experience through lab sessions. You will learn

What are control statements and operators in Python

  • Understand Tuples concepts
  • Study dictionaries, lists & functions
  • Understand Modules & Files
  • Get to know Exceptions & Classes
  • Use advanced Python concepts to write code
  • Work on a real time Python Project

Software developers, big data professionals, analytical professionals, BI managers, project managers, those who are planning to start their career in Python can learn this course. A basic programming knowledge can help, you don’t need any specific knowledge to learn this Python Online Course.

Features
  • 30 Hours Online Live classes
  • Real Time Case Studies
  • Every Class will be Followed by Practical Assignments
  • Lifetime Access to Class Presentations, Class Recordings & Installation Guides
  • 24x7 Online Support for Your Queries

5000

Total reviews

4.57

Aggregate review score

80%

Course completion rate


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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