PYTHON online training in Hyderabad

PYTHON online training in Hyderabad

Python Online Training


Our Python online training in training  will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping .

Faculty : Real Time Expert   |  Duration : 30hrs  |  Material : Yes  |

Itabhyas videos tutorials

Itabhyas online training is the Best Python Online Training in Hyderabad,Bengaluru, Chennai and India.

In the IT world, Python is considered one of the top most languages for programming and hence specialists who can work in Python are in great demand. Python online training provides you information about the various aspects of this programming language such as web development, big data analytics, software engineering and more. Python is used globally by even the household names such as YouTube, Facebook, Dropbox and more. Even the scientists of NASA use python for carrying out their scientific researches. This field offers vast potential for career growth and job opportunities and since it is particularly easy to learn, as an IT professional everyone must be trained in this programming language. Python online training makes it easier for the jobholders and other aspirants to carry on their training without taking a break from their work.


By the completion of this python online training for beginners video based training course on Python programming, you will be comfortable with Python and how to apply it to developing applications. Throughout the course you will apply what you learn in real-world examples, reinforcing what Mike is teaching you.

Who should do this course?

Web Masters, Programmers, Entrepreneurs


Python Online Training batches will start every week. Make a call on +91-9030403937 or send a mail to For

Python Online Training in Hyderabad, Bengaluru, Chennai, India.

Python Online Training Course Content

  • An Overview of Python
    • What is Python?
    • Interpreted languages
    • Advantages and disadvantages
    • Downloading and installing
    • Which version of Python
    • Where to find documentation
  • Running Python Scripts
    • Structure of a Python script
    • Using the interpreter interactively
    • Running standalone scripts under Unix and Windows
  • Getting Started
    • Using variables
    • String types: normal, raw and Unicode
    • String operators and expressions
    • Math operators and expressions
    • Writing to the screen
    • Command line parameters
    • Reading from the keyboard
  • Flow Control
    • About flow control
    • Indenting is significant
    • The if and elif statements
    • while loops
    • Using lists
    • Using the for statement
    • The range() function
  • Sequence Data
    • list operations
    • list methods
    • Strings are special kinds of lists
    • tuples
    • sets
    • Dictionaries
  • Defining Functions
    • Syntax of function definition
    • Formal parameters
    • Global versus local variables
    • Passing parameters and returning values
  • Working with Files
    • Text file I/O overview
    • Opening a text file
    • Reading text files
    • Raw (binary) data
    • Using the pickle module
    • Writing to a text file
  • Dictionaries and Sets
    • Dictionary overview
    • Creating dictionaries
    • Dictionary functions
    • Fetching keys or values
    • Testing for existence of elements
    • Deleting elements
  • Errors and Exception Handling
    • Dealing with syntax errors
    • Exceptions
    • Handling exceptions with try/except
    • Cleaning up with finally
  • Using Modules
    • What is a module?
    • The import statement
    • Function aliases
    • Packages
  • Regular Expressions
    • RE Objects
    • Pattern matching
    • Parsing data
    • Subexpressions
    • Complex substitutions
    • RE tips and tricks
  • Highlights of the Standard Library
    • Working with the operating system
    • Grabbing web pages
    • Sending email
    • Using glob for filename wildcards
    • math and random
    • Accessing dates and times with datetime
    • Working with compressed files
  • An Introduction to Python Classes
    • About o-o programming
    • Defining classes
    • Constructors
    • Instance methods
    • Instance data
    • Class methods and data
    • Destructors

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