Python Course Training
By
Sathya Technologies

Developed as a high-level, general-purpose programming language, Python was created by Guido Van Rossum and first released in 1991. With dynamic type and automatic memory management, Python supports multiple programming paradigms like procedural, object-oriented, functional etc..

As a generic programming language, Python give flexibility to the developer to design applications of varying complexities like chip level application to building gaming application. Python uses a simple and readable syntax very similar to English with hundreds of third-party libraries.

Key advantages of Python Language :

• Simple and readable syntax similar to English
• Support for multiple programming paradigms
• Availability of a large collection of pre-build library function, reducing development time
• Large and ever-growing user community network

Course Objective :

• Basis of Python Programming Language
• Working with flow controls, strings and operators
• Exploring Functions Modules and Exception Handling.
• Object-Oriented Python programming
• Working on Multi-Threads and Database access
• Real-time example applications with Python.

How the program will be conducted

Sathya Technologies with its start-of- art class rooms and Lab infrastructure at Ameerpet Hyderabad offer the best and most conducive learning environment, with a team of highly skilled trainers having years of industry experience.  Classroom trainings will be conducted on a daily basis. Practical exercises are provided for the topics conducted on daily basis to be worked upon during the lab session.  Online session conducted through the virtual classroom also have the same program flow with theory and practical sessions.  Our Labs can be accessed online from across the world allowing our online training student to make the best use of the infrastructure from the comfort of their home.

Career Opportunities in Python :

Python developers are some of the most sought after programmers in the industry. Flexibility the programming language provide offer a wide range of opportunities in industries offering IT consulting services, web development, data analytics, business application development etc.

Training programs on Python by Sathya Technologies focuses on providing the students with the latest concepts and industry relevant topics. Our well experienced trainer and well planned course materials ensures for 100% success in interviews.

Who can learn?

Targeted Audience

• JAVA programmers
• Testing Engineers
• Networking professional
• Engineering and Computer Science Students
• Fresher’s

Prerequisite to learn the course

Anybody with basic understanding of programming concepts can easily pick up Python Programming. Even people with no prior programming background can learn Python and launch their programming career with Python.

Python Course Syllabus :

Python Overview

• What is Python?
• The Birth of Python
• Python Timeline
• Features of Python
• Versions of Python

The Python Environment

• Installation of Python
• Python Documentation
• Getting Help
• Python Editors and IDEs
• Basic Syntax
• Running a Python Script
• Python Scripts on UNIX/Windows

Getting Started

• Keywords
• Data Types
• Variables
• Naming Conventions
• Print(),Type(),Id() Functions
• Input(), Raw_input() functions
• Conversion functions
• Del Keyword

String Handling

• What is String?
• Single-quoted string literals
• Tripe-quoted string literals
• String Indexing
• String Slicing
• Working with String Functions
• Working with String Methods

Operators

• Arithmetic Operators
• Relational Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators

Flow Control

•  About Flow Control
• Conditional Statements
• (Simple if, if…else, if…elif…)
• Looping Statements (while loop, while … else, for loop,infinite loop, nested loops)
• Break
• Continue
• Pass

Sequences

• About Sequences
• Lists
• Tuples
• Indexing and Slicing
• Iterating through a sequence
• Functions for all sequences
• Operators and keywords for sequences
• The xrange() function
• Nest sequences
• List comprehensions
• Generator expressions

Dictionaries and Sets

• About Dictionaries
• When to use dictionaries
• Creating Dictionaries
• Getting dictionary values
• Iterating through a dictionary
• Reading file data into a dictionary
• Counting with dictionaries
• About sets
• Creating sets
• Working with sets

Functions

• Defining a function
• Calling a function
• Function Parameters
• Returning Values
• Variables scope
• Call by value
• Call by reference
• Passing collections to a function
• Passing functions to function
• Lamda function

Modules

• What is a module?
• Creating user defined module
• Setting path
• The import statement
• Module search path From … Import
• Module Aliases
• Dir function
• Working with Standard modules
• (Math, Random, Date and time,Os and sys, String,….)

Errors and Exception Handling

• Syntax Errors
• What is Exception?
• Need of Exception handling
• Predefined Exceptions
• Predefined Exceptions Hierarchy
• Except, try, finally clause
• Handling Multiple Exceptions
• User defined Exceptions
• Raise, assert statements

File Handling

• Opening a file
• Closing a file
• Writing data to files
• Reading a data from files
• Tell(),Seek() functions
• Working with Directories

Advanced Python

• About OO programming
• Defining Classes
• Creating object
• Class methods and data
• Static methods
• Private methods
• Constructors
• Destructors
• Inheritance
• Types of inheritances
• Polymorphism (over loading & over riding)
• Data hiding

Regular Expressions

• What is regular expression?
• Wild card characters
• Forming regular expressions
• Character classes
• Quantifiers
• Greedy matches
• Grouping
• Match, Serach functions
• Matching vs searching
• Sub function
• Splitting a string
• Replacing text
• Flags

Multi Threading

• Defining a thread
• Starting a thread
• Threading module
• Threads synchronization
• Multithreaded priority queue

Database Access

• Basics of database
• Connections
• Executing queries
• Transaction management

Advanced Modules

• Mathsand sciences (Numpy, scipy, matplotlib)
• Data analysis (pandas)
• Network Programming (Socket module,Twisted module, Client and server)
• Testing (Unit test)
• Web (Beautiful soup, Python web, Mechanize)
• Gui programming (tkinter programming, pyGtk, PyQt)
• Gaming (Pygame-2d animation, piglet-3d animation)
• Excel (Openpyxl, Xlrd,Xlwt)