Python online training in Hyderabad India
Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. Developed in the late 1980s by Guido van Rossum, Python has since become one of the most popular languages for a wide range of applications, including web development, data analysis, artificial intelligence, scientific computing, and automation.
SNS Tech Academy offers comprehensive Python online training in Hyderabad, India, catering to individuals seeking to master one of the most versatile programming languages in the industry. The training program covers a broad spectrum of Python concepts, including basics such as data types, control flow, and functions, as well as advanced topics such as object-oriented programming, file handling, and web development with frameworks like Django and Flask. Participants engage in hands-on projects, real-world applications, and personalized mentoring sessions, gaining practical experience in solving real-world problems and building scalable applications. Whether aspiring software developers, data scientists, or automation engineers, learners receive expert guidance and certification preparation to excel in today's competitive job market. SNS Tech Academy's Python online training equips individuals with the skills and expertise needed to innovate, automate, and thrive in the ever-evolving tech landscape.
Python Online Training course content :-
Python Training Objectives
- Master the fundamentals of writing Python scripts
- Learn core Python scripting elements such as variables and flow control structures
- Discover how to work with lists and sequence data
- Write Python functions to facilitate code reuse
- Use Python to read and write files
- Make their code robust by handling errors and exceptions properly
- Work with the Python standard library
- Explore Python's object-oriented features
- Search text using regular expressions
- What is Python?
- Interpreted languages
- Advantages and disadvantages
- Downloading and installing
- Which version of Python
- Where to find documentation
- Structure of a Python script
- Using the interpreter interactively
- Running standalone scripts under Unix and Windows
- 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
- About flow control
- Indenting is significant
- The if and elif statements
- while loops
- Using lists
- Using the for statement
- The range() function
- list operations
- list methods
- Strings are special kinds of lists
- tuples
- sets
- Dictionaries
- Syntax of function definition
- Formal parameters
- Global versus local variables
- Passing parameters and returning values
- Text file I/O overview
- Opening a text file
- Reading text files
- Raw (binary) data
- Using the pickle module
- Writing to a text file
- Dictionary overview
- Creating dictionaries
- Dictionary functions
- Fetching keys or values
- Testing for existence of elements
- Deleting elements
- Dealing with syntax errors
- Exceptions
- Handling exceptions with try/except
- Cleaning up with finally
- What is a module?
- The import statement
- Function aliases
- Packages
- RE Objects
- Pattern matching
- Parsing data
- Subexpressions
- Complex substitutions
- RE tips and tricks
- About o-o programming
- Defining classes
- Constructors
- Instance methods
- Instance data
- Class methods and data
- Destructors
Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It is popular due to its ease of learning, clean syntax, extensive standard library, and support for multiple programming paradigms, making it suitable for various applications such as web development, data analysis, scientific computing, and automation.
Python 2 and Python 3 are two major versions of the Python programming language. Python 3 introduced several backward-incompatible changes compared to Python 2, including print function syntax, Unicode support by default, division behavior, and the removal of deprecated features. Python 3 is the current version of Python and is recommended for all new development projects.
Lists and tuples are both sequence data types in Python, but they have some differences. Lists are mutable, meaning their elements can be modified after creation, whereas tuples are immutable, meaning their elements cannot be changed once defined. Additionally, lists are defined using square brackets [], while tuples are defined using parentheses ().
A Python dictionary is an unordered collection of key-value pairs, where each key is unique and maps to a corresponding value. Dictionaries are defined using curly braces {} and support fast lookup operations based on keys. Unlike lists, which are ordered and indexed by integers, dictionaries are unordered, and their elements are accessed by keys rather than indices.
List comprehension is a concise way of creating lists in Python by applying an expression to each item in an iterable and collecting the results in a new list. It provides a more readable and compact syntax compared to traditional for loops. For example, [x**2 for x in range(5)] generates a list of squares of numbers from 0 to 4.
In Python, "==" is used to compare the values of two objects, while "is" is used to compare the identities of two objects. The "==" operator returns True if the values of two objects are equal, whereas the "is" operator returns True if two objects are the same object in memory.
Python decorators are functions that modify the behavior of other functions or methods. They are used to add functionality to existing code without modifying its structure. Decorators are typically defined using the @decorator syntax and are applied to functions or methods by placing them above the function or method definition.
The "pass" statement in Python is a null operation that does nothing. It is used as a placeholder when syntactically required but no action is needed. It is commonly used as a placeholder for empty code blocks, function definitions, or classes that will be implemented later.
Global variables are defined outside of any function and can be accessed from anywhere within the program. Local variables are defined inside a function and are only accessible within that function's scope. Local variables take precedence over global variables with the same name within the same scope.
Exceptions in Python are handled using try-except blocks. Code that may raise an exception is placed inside the try block, and exception handling code is placed inside the except block. If an exception occurs within the try block, Python searches for an appropriate except block to handle it. If no matching except block is found, the exception propagates up the call stack.
