About Course

Python Training in Hyderabad Learn from Industry Experts

If you're looking to learn Python in Hyderabad, you're in luck! Our expert trainers offer comprehensive Python training that covers everything from the basics to advanced topics. Whether you're a beginner or an experienced programmer, our courses are designed to help you master Python and become a pro in no time.

Why Python is a valuable skill to learn

Python is a popular programming language that is used in a variety of industries, including web development, data science, artificial intelligence, and more. Learning Python can open up many career opportunities and increase your earning potential. It's also a versatile language that is easy to learn and use, making it a valuable skill for anyone interested in programming. With our expert Python training in Hyderabad, you can gain the skills and knowledge you need to succeed in today's competitive job market.

Overview of the course curriculum and what you can expect to learn.

Our Python training in Hyderabad covers everything from the basics of Python programming to advanced topics like data analysis and machine learning. You'll learn how to write Python code, work with data structures, create functions, and more. Our industry experts will also teach you how to use Python for web development, data analysis, and other real-world applications. By the end of the course, you'll have a solid understanding of Python and be ready to apply your skills in a variety of industries.

Hands-on training and real-world applications.

Our Python training in Hyderabad is designed to provide hands-on experience and real-world applications. We believe that the best way to learn is by doing, so our course includes plenty of opportunities for you to practice your skills. You'll work on real projects and use cases, giving you the chance to apply what you've learned in a practical setting. Our industry experts will also share their experiences and insights, giving you a better understanding of how Python is used in the real world. By the end of the course, you'll have the skills and confidence to tackle any Python project.

Benefits of learning from industry experts.

Learning from industry experts can provide a wealth of benefits when it comes to Python training in Hyderabad. These experts have real-world experience and can offer insights and tips that you won't find in a textbook or online tutorial. They can also provide guidance on how to apply Python in different industries and settings, giving you a better understanding of the versatility of this programming language. Additionally, learning from industry experts can help you build a professional network and potentially open up new career opportunities.

Introduction to Python Programming
Variables, Data Types, and Operators in Python
Control Flow and Looping Statements
Functions and Modules in Python
File Handling and Input/Output Operations
Data Structures in Python (Lists, Tuples, Dictionaries)
Object-Oriented Programming (OOP) in Python
Python Libraries and Packages (e.g., NumPy, Pandas, Matplotlib)

Course Content

INTRODUCTION TO PYTHON

What is Python

07:00
Why Python

07:00
History
Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
Why Python is General Language
Limitations of Python
What is PSF
Python implementations
Python applications
Python versions
Difference between Python 2.x and 3.x
Difference between Python 3.7 and 3.8
Software Development Architectures

PYTHON LANGUAGE FUNDAMNETALS

DIFFERENT MODES OF PYTHON

Interactive Mode

07:00
Scripting Mode
Programming Elements

07:00
Structure of Python program
First Python Application
Comments in Python
Python file extensions
Setting Path in Windows
Edit and Run python program without IDE
Edit and Run python program using IDEs
INSIDE PYTHON
Programmers View of Interpreter
Inside INTERPRETER
What is Byte Code in PYTHON
Python Debugger

PYTHON VARIABLES

bytes Data Type

07:18
byte array

07:00
String Formatting in Python
Math, Random, Secrets Modules
Introduction
Initialization of variables
Local variables
Global variables
‘global’ keyword
Input and Output operations
Data conversion functions – int (), float (), complex (), str (), chr (), Ord ()

OPERATORS

Arithmetic Operators
Comparison Operators
Python Assignment Operators
Logical Operators
Bitwise Operators
Shift operators
Membership Operators
Identity Operators
Ternary Operator
Operator precedence
Difference between “is” vs “==”

INPUT &OUTPUT OPERATORS

CONTROL STATEMENTS

Conditional control statements
If
If-else
If-elif-else
Nested-if
Loop control statements
for
while
Nested loops
Branching statements
Break
Continue
Pass
Return
Case studies

DATA STRUCTURES OR COLLECTIONS

Introduction
Importance of Data structures
Applications of Data structures
Types of Collections
Sequence
Strings, List, Tuple, range
Non sequence
Set, Frozen set, Dictionary
Strings
What is string
Representation of Strings
Processing elements using indexing
Processing elements using Iterators
Manipulation of String using Indexing and Slicing
String operators
Methods of String object
String Formatting
String functions
String Immutability
Case studies

LIST COLLECTION

What is List
Need of List collection
Different ways of creating List
List comprehension
List indices
Processing elements of List through Indexing and Slicing
List object methods
List is Mutable
Mutable and Immutable elements of List
Nested Lists
List of lists
Hardcopy, shallow Copy and Deep Copy
zip () in Python
How to unzip?
Python Arrays:
Case studies

TUPLE COLLECTION

SET COLLECTION

What is set?
Different ways of creating set
Difference between list and set
Iteration Over Sets
Accessing elements of set
Python Set Methods
Python Set Operations
Union of sets
functions and methods of set
Python Frozen set
Difference between set and frozen set
Case study

DICTIONARY COLLECTION

What is dictionary?
Difference between list, set and dictionary
How to create a dictionary?
PYTHON HASHING?
Accessing values of dictionary
Python Dictionary Methods
Copying dictionary
Updating Dictionary
Reading keys from Dictionary
Reading values from Dictionary
Reading items from Dictionary
Delete Keys from the dictionary
Sorting the Dictionary
Python Dictionary Functions and methods
Dictionary comprehension

FUNCTIONS

CLASSIFICATION OF FUNCTIONS

PYTHON ARGUMENT TYPE FUNCTIONS

LAMBDA FUNCTIONS/ANONYMOUS FUNCTIONS

Map ()
Filter ()
Reduce ()
Nested functions
Non local variables, global variables
Closures
Decorators
Generators
Iterators
Monkey patching

ADVANCED PYTHON-PYTHON MODULES

Importance of modular programming
What is module
Types of Modules – Pre defined; User defined.
User defined modules creation
Functions based modules
Class based modules
Connecting modules
Import module
From … import
Module alias / Renaming module
Built In properties of module

PACKAGES

Organizing python project into packages
Types of packages – pre defined, user defined.
Package v/s Folder
py file
Importing package
PIP
Introduction to PIP
Installing PIP
Installing Python packages
Un installing Python packages

OOPS

Procedural v/s Object oriented programming
Principles of OOP – Encapsulation, Abstraction (Data Hiding)
Classes and Objects
How to define class in python
Types of variables – instance variables, class variables.
Types of methods – instance methods, class method, static method
Object initialization
‘self’ reference variable
‘cls’ reference variable
Access modifiers – private (__), protected (_), public
AT property class
Property () object
Creating object properties using setaltr, getaltr functions
Encapsulation (Data Binding)
What is polymorphism

OVERRIDING

OVERLOADING

OPERATOR OVERLOADING

Class re-usability
Composition
Aggregation
Inheritance – single, multilevel, multiple, hierarchical and hybrid inheritance and Diamond inheritance
Constructors in inheritance
Object class
Super ()
Runtime polymorphism
Method overriding
Method resolution order (MRO)
Method overriding in Multiple inheritance and Hybrid Inheritance
Duck typing
Concrete Methods in Abstract Base Classes
Difference between Abstraction & Encapsulation
Inner classes
Introduction
Writing inner class
Accessing class level members of inner class
Accessing object level members of inner class
Local inner classes
Complex inner classes
Case studies

EXCEPTION HANDLING & TYPES OF ERRORS

FINALLY BLOCK

RAISE KEYWORD

REGULAR EXPRESSIONS

Understanding regular expressions
String v/s Regular expression string
“re” module functions
Match ()
Search ()
Split ()
Findall ()
Compile ()
Sub ()
Subn ()
Expressions using operators and symbols
Simple character matches
Special characters
Character classes
Mobile number extraction
Mail extraction
Different Mail ID patterns
Data extraction
Password extraction
URL extraction
Vehicle number extraction

FILE & DIRECTORY HANDLING

Introduction to files
Opening file
File modes
Reading data from file
Writing data into file
Appending data into file
Line count in File
CSV module
Creating CSV file
Reading from CSV file
Writing into CSV file
Object serialization – pickle module
XML parsing

PYTHON LOGGING

DATE & TIME MODULE

OS MODULE

MULTI-THREADING & MULTI PROCESSING

Introduction
Multitasking v/s Multithreading
Threading module
Creating thread – inheriting Thread class, Using callable object
Life cycle of thread
Single threaded application
Multithreaded application
Can we call run () directly?
Need to start () method
Sleep ()
Join ()
Synchronization – Lock class – acquire (), release () functions

GARBAGE COLLECTION

PYTHON DATA BASE COMMUNICATIONS(PDBC)

Introduction to DBMS applications
File system v/s DBMS
Communicating with MySQL
Python – MySQL connector
connector module
Drafconnect () method
Oracle Database
Install cx_Oracle
Cursor Object methods
Execute () method
ExecuteMany () method
Fetchone ()
Fetchmany ()
Fetchall ()
Static queries v/s Dynamic queries
Transaction management
Case studies

PYTHON -NETWORK PROGRAMMING

TKINTER & TURTLE

DATA ANALYTICS MODULES

NumPy
Introduction
Scipy
Introduction
Arrays
Datatypes
Matrices
N dimension arrays
Indexing and Slicing
Pandas
Introduction
Data Frames
Merge, Join, Concat
Matplotlib introduction
Drawing plots
Introduction to Machine learning
Types of Machine Learning?
Introduction to Data science

DJANGO

PANDAS– INTRODUCTION TO DATA STRUCTURES

PANDAS — SERIES

PANDAS – DATAFRAME

Data Frame
Create Data Frame
Create an Empty Data Frame
Create a Data Frame from Lists
Create a Data Frame from Dict of ndarrays / Lists
Create a Data Frame from List of Dicts
Create a Data Frame from Dict of Series
Column Selection
Column Addition
Column Deletion
Row Selection, Addition, and Deletion

PANDAS– PANEL

PANDAS –BASIC FUNTIONALITY

PANDAS–DESCRIPTIVE STATISTICS

PANDAS–FUNCTION APPLICATION

PANDAS-REINDEXING

PANDAS-ITERATION

PANDAS-SORTING

Pandas – Options and Customization

PANDAS-INDEXING AND SELECTING DATA

PANDAS-STATISTICAL FUNCTIONS

PANDAS-WINDOW FUNCTIONS

PANDAS-AGGREGATIONS

PANDAS- MISSING DATA

PANDAS-GROUPBY

PANDAS-MERGING/JOINING

PANDAS -CONCATENATION

PANDAS-VISUALIZATION

PANDAS-IO TOOLS

NUMPY − DATA TYPES

NUMPY − ARRAY ATTRIBUTES

NUMPY − ARRAY CREATION ROUTINES

NUMPY − ARRAY FROM EXISTING DATA

NUMPY − ARRAY FROM NUMERICAL RANGES

NUMPY − ADVANCED INDEXING

NUMPY − ITERATING OVER ARRAY

NUMPY – ARRAY MANIPULATION

reshape
ndarray. flat
ndarray. flatten
ravel
transpose
ndarray. T
swap axes
roll axis
broadcast
broadcast to
expand dims
squeeze
concatenate
hstack and NumPy. Stack
split
hsplit and NumPy. Split
resize
append
insert
delete
unique

Python

About Course

Python Training in Hyderabad Learn from Industry Experts

Why Python is a valuable skill to learn

Overview of the course curriculum and what you can expect to learn.

Hands-on training and real-world applications.

Benefits of learning from industry experts.

What Will You Learn?

Course Content

INTRODUCTION TO PYTHON

What is Python

Why Python

History

Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source

Why Python is General Language

Limitations of Python

What is PSF

Python implementations

Python applications

Python versions

Difference between Python 2.x and 3.x

Difference between Python 3.7 and 3.8

Software Development Architectures

PYTHON LANGUAGE FUNDAMNETALS

Python Implementation Alternatives/Flavors

Keywords

Labels And Filtering

Identifiers

Constants / Literals

Data types

Python VS JAVA

Python Syntax

DIFFERENT MODES OF PYTHON

Interactive Mode

Scripting Mode

Programming Elements

Structure of Python program

First Python Application

Comments in Python

Python file extensions

Setting Path in Windows

Edit and Run python program without IDE

Edit and Run python program using IDEs

INSIDE PYTHON

Programmers View of Interpreter

Inside INTERPRETER

What is Byte Code in PYTHON

Python Debugger

PYTHON VARIABLES

bytes Data Type

byte array

String Formatting in Python

Math, Random, Secrets Modules

Introduction

Initialization of variables

Local variables

Global variables

‘global’ keyword

Input and Output operations

Data conversion functions – int (), float (), complex (), str (), chr (), Ord ()

OPERATORS

Arithmetic Operators

Comparison Operators

Python Assignment Operators

Logical Operators

Bitwise Operators

Shift operators

Membership Operators

Identity Operators

Ternary Operator

Operator precedence

Difference between “is” vs “==”

INPUT &OUTPUT OPERATORS

Print

Input

Command-line arguments

CONTROL STATEMENTS

Conditional control statements

If

If-else