Python Online Training

Python Online Training in Mumbai, Delhi, Hyderabad, Kolkata

Python is a robust programming language. RH Soft Tech provides Best Python Online Training with more than 10+ years experienced Python trainer. After completing the course from RH Soft Tech, you will be well versed with the concepts of Python such as Basic Python Syntax, language, collections, functions, components, Exceptions, Modules, Classes & advanced concepts in Python with our live training session. 

 

By getting the Python online training from us, you can learn the basic concepts of Python and you can clear the exams like Certified professional in Python programming, Certified expert in Python programming and certified Entry-level python programmer if you’re a beginner.

RH Soft Tech offers multiple hands-on projects and live experience during the entire training so that the students became aware of the latest trends going on in the industry.

 

Python Course Content 

Core Python 

Introduction to Languages 

  • What is Language? 
  • Types of languages 
  • Introduction to Translators 
  • Compiler 
  • Interpreter 
  • What is Scripting Language? 
  • Types of Script 
  • Programming Languages v/s Scripting Languages 
  • Difference between Scripting and Programming languages 
  • What is programming paradigm? 
  • Procedural programming paradigm 
  • Object Oriented Programming paradigm 

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 
  • PYTHON IN REALTIME INDUSTRY 
  • Difference between Python 2.x and 3.x 
  • Difference between Python 3.7 and 3.8 
  • Software Development Architectures 

Python Software’s 

  • Python Distributions 
  • Download &Python Installation Process in Windows, Unix, Linux and Mac 
  • Online Python IDLE 
  • Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc 

Python Language Fundamentals 

  • Python Implementation Alternatives/Flavors 
  • Keywords 
  • 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 
  • 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, shallowCopy and DeepCopy 
  • zip() in Python 
  • How to unzip? 
  • Python Arrays: 
  • Case studies 

Tuple Collection 

  • What is tuple? 
  • Different ways of creating Tuple 
  • Method of Tuple object 
  • Tuple is Immutable 
  • Mutable and Immutable elements of Tuple 
  • Process tuple through Indexing and Slicing 
  • List v/s Tuple 
  • Case studies 

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 frozenset ? 
  • 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 

  • What is Function? 
  • Advantages of functions 
  • Syntax and Writing function 
  • Calling or Invoking function 
  • Classification of Functions 
  • No arguments and No return values 
  • With arguments and No return values 
  • With arguments and With return values 
  • No arguments and With return values 
  • Recursion 
  • Python argument type functions : 
  • Default argument functions 
  • Required(Positional) arguments function 
  • Keyword arguments function 
  • Variable arguments functions 
  • ‘pass’ keyword in 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 
  1. i) Method overriding 2. ii) Constructor overriding 
  • Overloading 
  1. i) Method Overloading 2. ii) Constructor Overloading 

iii) Operator Overloading 

  • Class re-usability 
  • Composition 
  • Aggregation 
  • Inheritance – single , multi level, 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 

  • What is Exception? 
  • Why exception handling? 
  • Syntax error v/s Runtime error 
  • Exception codes – AttributeError, ValueError, IndexError, TypeError… 
  • Handling exception – try except block 
  • Try with multi except 
  • Handling multiple exceptions with single except block 
  • Finally block 
  • Try-except-finally 
  • Try with finally 
  • Case study of finally block 
  • Raise keyword 
  • Custom exceptions / User defined exceptions 
  • Need to Custom exceptions 
  • Case studies 

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 
  • Case study 

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 
  • JSON parsing 

Python Logging 

  • Logging Levels 
  • implement Logging 
  • Configure Log File in over writing Mode 
  • Timestamp in the Log Messages 
  • Python Program Exceptions to the Log File 
  • Requirement of Our Own Customized Logger 
  • Features of Customized Logger 

Date & Time module 

  • How to use Date & Date Time class 
  • How to use Time Delta object 
  • Formatting Date and Time 
  • Calendar module 
  • Text calendar 
  • HTML calendar 

OS module 

  • Shell script commands 
  • Various OS operations in Python 
  • Python file system shell methods 
  • Creating files and directories 
  • Removing files and directories 
  • Shutdown and Restart system 
  • Renaming files and directories 
  • Executing system commands 

Multi-threading & Multi Processing 

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

Garbage collection 

  • Introduction 
  • Importance of Manual garbage collection 
  • Self reference objects garbage collection 
  • ‘gc’ module 
  • Collect() method 
  • Threshold function 
  • Case studies 

Python Data Base Communications(PDBC) 

  • Introduction to DBMS applications 
  • File system v/s DBMS 
  • Communicating with MySQL 
  • Python – MySQL connector 
  • connector module 
  • connect() 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 

  • What is Sockets? 
  • What is Socket Programming? 
  • The socket Module 
  • Server Socket Methods 
  • Connecting to a server 
  • A simple server-client program 
  • Server 
  • Client 

Tkinter & Turtle 

  • Introduction to GUI programming 
  • Tkinter module 
  • Tk class 
  • Components / Widgets 
  • Label , Entry , Button , Combo, Radio 
  • Types of Layouts 
  • Handling events 
  • Widgets properties 
  • Case studies 

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 

  • Introduction to PYTHON Django 
  • What is Web framework? 
  • Why Frameworks? 
  • Define MVT Design Pattern 
  • Difference between MVC and MVT 
Course Duration: 35 – 40 hrs
Timing Week Days: 1 hrs per day (OR) 3 Times a week or Weekends: 3 hrs per day
Method: Instructor led, with exercises.
Breaks: As Required, but limited to 2 of 10 min. In weekend batch
Email ID Info@rhsofttech.com
Study Material  Python Online Training
Phone +91 9356913849
Fees Structure 50% After introduction lectures balance  After 50% Lecture
Server access Throughout the course 24/7
Timings Flexible