Python Training

Python Training

One of the top suppliers of online IT training in the Hyderabad is Monstertrainings. We provide a wide range of online training programmes and courses to assist recent graduates and working professionals in achieving their professional objectives and taking advantage of our top-notch support.

A high-level programming language, it is reliable. Dynamic semantics, data structures, and advanced typing are all built-in. It is utilised in a variety of industries, including data mining, cloud computing, and web technology. You can write the application and use this Python for any dynamic tasks. It will speed up the development of the programmers' applications. Its syntax emphasis readability characteristic will lower the cost of maintaining the application. Python will make it easier for users to reuse code. Additionally, its standard libraries are cost-free and compatible with all major systems.

The Python Training Certification will Give You Studying and Practical expertise in:

  • Understand OOPS, Data Types, Looping Concept.
  • Understand the in Libraries.
  • Learn about Database Integration, Network Integration, and Python Web Framework Application.
  • Implement MapReduce Concepts.
  • Understand Machine Learning Algorithms.
  • Learn File and Sequencing Operations.
  • Write Pig UDF and Hive UDF.
  • Learn PCA, RMSE, Log Loss, AUC, and Cross Validation.
  • Master Data Analysis.
  • Study Data Visualization.

 

The above Strategy and Deploy are considered to be the most Important Python Infrastructure According to Computational content and safety requirements. Our Python training Certification Access to a repository of sample interview questions on each topic, and many Missions, simulation of tests. Real-time industry-oriented projects in Competitive prices with Library, 24/7 Support, Placement Guidance and Resume preparation assistance too.

Object-Oriented Programming System (OOPS) and fundamental programming languages are prerequisites for taking this course.

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Python Training Projects

The practical projects that you will work on during this certification training include

Market Analysis

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PYTHON COURSE CURRICULUM

  • Understanding the Open source
  • Understanding Interpreters
  • Introduction to Scripting languages
  • Evolution of python
  • Installation of python
  • Creating the first python program.
  • Understanding the .py extension.
  • How to run the PYTHON PROGRAM
  • Using the python command line
  • Using IDLE
  • Using IDEs
  • Using a regular command prompt
  • Sequence control
  • Decision control
    o if(pure if)
    o if-else
    o if-elif
    o nesting
  • Loop control
    o for
    o while
    o for-else
    o while-else
  • Lists
    o What are lists?
    o Mutable lists.
    o In operator.
    o Traversing a list.
    o List operations.
    o Converting a list to string.
    o Converting a string to list.
    o Aliasing in lists.
    o Functions in lists.
    o Range function
  • Sets
    o Properties
    o Various operations
    o Casting
    o Mathematical operations
  • Tuples
    o What is tuples?
    o Indexing in tuples.
    o Slicing in tuples.Immutable tuples.
    o Lists and tuples.
    o Functions in tuples.
  • Dictionaries
    o Keys and values.
    o In operator.
    o Looping in dictionaries.
    o Lookups in dictionaries.
    o Dictionaries and tuples.
    o Functions in dictionaries.
    o Single key with multiple values
    o Dictionaries vs. sets
  • Without arguments
  • With normal arguments
  • With positional arguments
  • With named or keyword arguments
  • With default arguments
  • With variable length arguments
  • With dictionary arguments
  • Functions returning single and multiple values
  • Pass by reference
  • Pass by value
  • Anonymous functions
  • Understanding the docstrings
  • Lambda, map, filters
  • Understanding the return keyword
  • Global scope.
  • Local scope
  • What are modules?
  • Understanding the namespaces
  • Various ways of importing.
  • Various ways of accessing
  • Aliasing
  • dir () function.
  • Installation of a module.
  • Properties of a module
  • Understanding the virtualenv.
  • Packaging a module
  • Understanding initfile
  • Establishing the relation between the modules and Packages
  • Sub packages
  • Introduction
  • Reading and writing files
  • Methods of File Objects
  • Modes
  • Reading
  • Writing
  • Modify
  • Executing database queries using python scripts
  • File creation in the default and specific locations
  • read(),readline() and readlines()
  • Merging
  • Files similar schema
  • Files different Schema
  •  Flip KartExample
  •  Buffering in files.
  • OOPS Paradigm
  • Differences between Procedural and Object Oriented Programmin
  • OOPS Approaches
  • OOPS Principles
  • Understanding the classes in python.
  • Employee class
  • Using the class statement
  • Creating the objects for classes
  • Methods in classes.
  • Differences between the methods inside the class and outside the class
  • Self keyword
  • Types
    o Single
    o Multilevel
    o Hierarchical
    o Multiple
    o Hybrid
    o Problems with multiple inheritances
    o Understanding the super method
  • Interface and its properties
  • Differences between an abstract class and an interface
  • Abstract methods
  • Abstract classes
  • Decorative
  • ABC module
  • Parameter less
  • Parameterized
  • Differences between the methods and constructors
  • Advantages
  • What are exceptions?
  • Various types of exceptions.
  • Exception handling – try,except,else,finally
  • Displaying predefined and user defined messages
  • Trapping errors.
  • Raising exceptions.
  • Customized exceptions
  • What is database and its purpose?
  • Types of databases
  • What is a query?
  • Working with oracle/MySQL databases.
  • How to install MySQL-server and oracle
  • How to know what modules to install
  • Operations
  • Creation of tables
  • Insertion
  • Data retrieval
  • Updation
  • Alterations
  • Deletions
  • Other operations
  • What are exceptions?
  • Connecting the python application with the database
  • Cursors
  • Running the queries
  • Fetching the required amount of data and the complete data
  • Loading thedata from the database tables into excel file and text file
  • Creating classes
  • Concurrent programming
  • Creating and starting a thread
  • Thread module
  • Improving the performance using threading
  • join() function
  • Ways to implement threads
    o Creating threads using our own classes.
    o Creating Thread by creating a child to “Thread” class.
    o Creating a thread directly without classes
  • Several methods of thread class
  • Thread Synchronization
  • Locking mechanism