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Python Training

  /  IT & Software  /  Python

Python COURSE

About this course

Upcoming Batches

FacultyDateDurationTimingsRegister Here
Venkat Reddy17 Jun 2021(30 Hours) 06:00 AMRegister Here
Venkat Reddy21 Jun 2021(30 Hours) 07:00 AMRegister Here

Python training by Sathya Technologies is designed to help you master this extremely popular programming language with ease. Python is a simple interpreter based, high level object- oriented generic programming language and can be used to design and build application and prototype with ease. Python is today used majorly for web development applications and has gained grounds as a replacement or JAVA. With a large and every growing library of re-usable components and nuggets, Python is constantly gaining grounds as a simple and easy to work with Web programming language.

Why Python Course?

Average salaries for Python professionals are about $103,492 PA.
There has been a 20% growth year-on- year for Python-based jobs across industries.
Python programming is making inroad into other generic application development space apart from Web development making is a very go-to programming language.

Best Python Training in Hyderabad

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 gives 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

  • Basics 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 Python?

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.

INTRODUCTION TO PYTHON
  1. What is python
  2. Python use cases
  3. The Birth of Python
  4. Python Timeline
  5. Features of Python
  6. Versions of Python
  7. Python distributions
INTRODUCTION TO SCRIPT
  1. What is script
  2. What is program
  3. Types of script
  4. Types of programming languages
The PYTHON Environment

Installation of Python    on windows, MAC, LINUX

  • Setting path for Python
  • Python Documentation
  • . Getting Help
  • Python Command-line Shell, Editors and IDE’s
  • Basic Syntax
  • Running Python Script on WINDOWS
  • Running Python Script on LINUX

Working with IDLE

GETTING STARTED
  1. Keywords v Data Types
  2. Static Data Types versus Dynamic Data Types
  3. Fundamental Data Types
  4. Collection Types
  5. Number systems
  6. Mutable objects versus Immutable Objects
  7. Variables
  8. Naming Conventions
  9. Print(),Type() and Id() Functions
  10. Input() and raw_input() functions
  11. Type Conversion functions
OPERATORS
  1. Arithmetic Operators Relational Operators
  2. LogicalOperators
  3. Assignment Operators

Short Hand Assignment Operators

  • Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Precedence of operators
  • Evaluating expressions
FLOW CONTROL
  • About Flow Control
  • Elements of flow control
  • Block/Clause
  • Conditional Statements» Simple if» if…else,» if…eIif…else
  • Looping Statements» while loop» while … else» for loop» for …else

    » using range() in for loop

    » working with infinite loops and nested loops

    • Break statement
    • Continue statement
    • Pass statement
STRING HANDLING
  1. What is String?
  2. Single-quoted string literals
  3. Triple-quoted string literals
  4. string Indexing
  5. String Slicing
  6. Working with String Functions
  7. Working with String Methods
  8. Reversing a string
  9. String multiplication and concatenation
COLLECTIONS

LIST :

  • Lists are mutable
  • Getting to lists
  • List indices
  • Traversing a list
  • List operations
  • List slices
  • List methods
  • Map, Filter and reduce
  • Deleting elements
  • Lists and strings

TUPLE:

  • Advantages of Tuple over List
  • Packing and Unpacking
  • Comparing Tuples
  • Creating nested tuple
  • Using tuples as keys in dictionaries
  • Deleting tuples
  • Slicing OfTuple
  • Tuple Membership Test
  • Built-in function with Tuple
  • Dotted Charts

SETS:

  • How to create a set?
  • Iteration Over Sets
  • Python set Methods
  • Python Set Operations
  • Union Ofsets
  • Built-in Functions with set
  • Python Frozenset

DICTIONARY :

  • How to create a dictionary?
  • Python Hashing?
  • Python Dictionary Methods
  • Copying Dictionary
  • Updating dictionary
  • Delete keys from the dictionary
  • Dictionary items() Method

FUNCTIONS

  • Defining a function
  • Calling a function
  • Function Parameters Types of parameters» default parameters» non default parameters» keyword arguments
  • anon keyword arguments
  • Handling return values
  • Global variables and Local variables
  • Scope of global variables and local variables
  • Passing collections to a function
LAMBDA FUNCTIONS
  • Lambda functions/ anonymous functions
  • Filter()
  • map()
  • Reduce()
MODULES
  • What is a module?
  • Types of modules
  • The import statement
  • ModuleAliases/renaming a module
  • From … Import
  • Reloading a module
  • Built in properties ofa module
  • Dir() function
  • Creating user defined modules
  • Module search path
  • Command line arguments
  • Working with pre-defined Standard modules ( Math, Random, Datetime, Os, Sys, String,….) –

Packages

  • Introduction to packages
finite.pyfile
  • Defining packages
  • Importing from packages
  • Defining sub-packages
  • Importing from sub-packages
  • Differences between X and 3.Xpacakages
OOPS concepts
  1. Introduction to OOPS programming
  2. OOPS principles
  3. Encapsulation
  4. Defining Classes
  5. Creating objects
  6. Class variables
  7. instance variables
  8. Parameters
  9. Local variables
  10. Defining methods
  11. Differences between functions and methods
EXCEPTION HANDLING
  • Syntax Errors
  • Runtime Errors
  • What is BUG?
  • Whatis Exception?
  • Need of Exception handling
  • Predefined Exceptions
  • Hierarchy try,
  • exceptand finally clauses
  • Named except block
  • Default except block
  • Handling Multiple Exceptions
  • Nested try, exceptand finally blocks
  • Userdefined Exceptionś
  • Raise, assert slatements
FILE HANDLING
  • What is a file?
  • Opening a file
  • Reading data from a file
  • Writing data to a file
  • Closing a file
  • Working with the methods of a file object
  • Replacing the content of a file
  • Working with Directońes
  • Handling lO Exceptions
REGULAR EXPRESSIONS
  • introduction to regular expression
  • Simple character matches
  • Special characters
  • Character classes
  • Quantifiers
  • Forming regular expressions
  • Matching at bbginning orend
  • Greedy matches
  • Compiling regular expressions Grouping
  • Match Objects
  • Match(), Search() and sub()functions
  • Matching versus searching
  • Splitting a string Replacing text Flags
DATABASEACCESS
  • Introduction to RDBMS
  • Cursorobject
  • Executing SQL queries
  • Executing SQL queries with bind variables
  • Execution of PL/SQL procedures and functions
  • Installation of mysql database
  • Creating databases in mysql
  • Creating users and assigning privileges to the users in mysql
  • Installation of MySQL python modules
  • Establishing connection with mysql
  • Closing mysql database connections
  • Execution of insert, update ,delete and select queries
  • Handling db errors
ADVANCED CONCEPTS
  • Python lterator
  • Python Generator
  • Python Closure
  • Python Decorators
  • Python Property
  • PIP
  • Installation of external modules using PIP
  • Workin with csv, xml andjson files
  • Debugging using IDE
  • Test cases implementations
DATAANALYTICS
  1. lntroduction to big data
  2. Pandas
  3. Numpy Matplotlib
  4. Hadoop word count example
PYTHON WEB DEVELOPMENT
  1. Introduction to web application
  2. Architecture ofweb application
  3. Introduction to DJANGO framework
  4. Introduction to FLASK framework
D Jango
  • Introduction to Web development
  • introduction to Django
  • MVT pattern
  • Flow in Django Project
  • Virtualenv
  • Installing Django
  • Creating a Django Project
  • What is a view
  • Function based Views
  • Class based Views
  • HTTP Response
  • URL route configuration
  • CSRF
  • HTML and Django
  • About templates
  • Django template syntax
  • Static Files
  • Loading templates
  • Context in Templates
  • Sending Data
  • Forms overview
  • GET and POST
  • The form Class
  • Processing the Form
  • Validatiòn
  • Forms in templates
  • Database Setup
  • Creating Models
  • Activation Models
  • Activating Models
  • Admin Site
  • One-to-Many Relation
  • Many to One Relation
  • One-to-One Relation
  • Pagination
  • Generic Views
  • List Vies
  • Detail View
  • Create View
  • Update View
  • Delete View Cookies in Django
  • Django Session Framework
  • Caching
  • File Uploading & Downloading
  • Deployment onApache
  • Sending Email
  • Other Email Functions
  • Security with user authentication
  • Automated Testing
  • When to Create tests
  • Using Django’s test Framework
  • Using the test Client
  • Running tests
  • Çhecking Code Coverage

Syllabus

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