Python

Python Training in Hyderabad

Welcome to SS Trainings

Are you ready to begin a transformative journey into the world of Python? Look no further than SS Trainings! Our comprehensive online Python Course is meticulously crafted to equip you with cutting-edge skills and insights, ensuring you excel in today’s data-driven landscape. Dive into a program where expertise meets innovation, and unlock your potential for a successful career in Python.

    Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it highly appealing for Rapid Application Development,

    Additionally, Python is often employed as a scripting or glue language to integrate different software components.The language’s straightforward and easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter along with its extensive standard library is available in source or binary forms without charge for all major platforms and can be freely distributed.

    Python is a versatile, general-purpose Programming language, suitable for a wide range of applications. As previously mentioned, it is frequently used for scripting, which involves writing instructions for a computer to execute specific tasks. This capability makes Python a staple in core Linux utilities and deployment scripts employed by DevOps engineers. Indeed, most Linux distributions come with a Python interpreter pre-installed.

    web developers often prefer Python for its powerful web frameworks, such as Django, Flask, and Bottle. These frameworks, facilitate the rapid and efficient development of websites and applications.

    In the realm of data analysis and data science, Python stands out as one of the leading languages. Its straightforward syntax is ideal for data wrangling, and it boasts an extensive array of libraries that support data visualization, analysis, and machine learning. This combination of simplicity and power has cemented Python’s popularity among data professionals.

    Python offers enhanced readability through its use of uniform indentation to delimit blocks of statements, as opposed to the curly brackets used in many languages such as C, C++, and Java. This design choice improves code clarity and consistency.

    Python is free and distributed as open-source software, supported by a large and active programming community. This community contributes to the development and maintenance of Python libraries across various domains, including web frameworks, mathematical computing, and data science.

    As a cross-platform language, Python operates seamlessly on different operating systems like Windows, Linux, and Mac OS X, enabling easy portability of Python applications across these platforms.

    Python supports multiple programming paradigms, including imperative, procedural, object-oriented, and functional programming styles, offering flexibility in coding approaches.

    Python is also an extensible language, allowing additional functionality beyond its core capabilities through modules and packages written in other languages such as C, C++, and Java.

    For database connectivity, Python defines a standard DB-API that enables integration with various data sources like Oracle, MySQL, and SQLite, facilitating data storage, retrieval, and processing.

    The standard distribution of Python includes the Tkinter GUI toolkit, which implements the popular Tcl/Tk library, allowing the construction of attractive graphical user interfaces. Other GUI libraries, such as Qt, GTK, and WxWidgets, are also available in Python.

    Python’s versatility extends to integration with other popular programming technologies, including C, C++, Java, ActiveX, and CORBA, making it a highly interoperable and adaptable language.

    At SS Trainings, we understand the growing demand for skilled Python in Hyderabad and beyond. Our comprehensive training program is tailored to meet the needs of both beginners and experienced professionals.


    Key Highlights of Our Python Training in Hyderabad:

    • Expert Instructors: Learn from industry veterans with years of real-world experience in Python
    • Hands-on Learning: Gain practical skills through hands-on projects and real-life case studies
    • Cutting-Edge Curriculum: Stay ahead with our up-to-date curriculum that covers the latest tools and technologies in Python
    • Flexible Learning: Choose from various learning modes, including classroom and online training, to suit your schedule.
    • Career Support: Gain invaluable career guidance sessions, personalized resume reviews, and expert interview preparation designed to propel you toward securing your dream job.

    Some key features of Python training in Hyderabad

    • Ease of Learning and Use: Python’s simple syntax and readability make it an excellent choice for beginners. It allows new programmers to pick up the basics quickly.
    • Versatile and Cross-Platform: Python runs on various platforms including Windows, macOS, and Linux, making it a versatile choice for development across different environments.
    • Extensive Standard Library: Python comes with a vast standard library that supports many common programming tasks, such as file handling, Internet protocols, and data manipulation.
    • Dynamic Typing: Python is dynamically typed, meaning you don’t have to declare the variable type when you create one. This can speed up development and reduce the amount of code.
    • Interpreted Language: Python is an interpreted language, meaning that code can be executed line-by-line, which facilitates debugging and interactive development.
    • Strong Community and Ecosystem: Python has a large, active community that contributes to a rich ecosystem of libraries and frameworks, such as Django for web development, NumPy and Pandas for data analysis, and TensorFlow and PyTorch for machine learning.
    • Support for Multiple Programming Paradigms: Python supports various programming paradigms, including procedural, object-oriented, and functional programming, making it a flexible tool for different types of projects.

    Why Hyderabad?

    Hyderabad is rapidly emerging as a hub for IT professionals, with numerous opportunities in various industries, including IT, finance, healthcare, and more. By enrolling in our Python training in Hyderabad, you position yourself at the forefront of this growing field, ready to take advantage of the career opportunities in Hyderabad.

    Q1: How do you write and run a Python script?

    A1: Python scripts are written in files with a.py extension. You can run a Python script from the command line by using the command python script.py (or python3 script.py for Python 3. x).

    Q2: What are the main features of Python?

    A2: Python features include:

    1. Simple and readable syntax

    2. Dynamically typed

    3. Interpreted language

    4. Extensive standard library

    5. Supports multiple programming paradigms

    6. Strong community support

    Q3: What are the benefits of using Python language as a tool in the present scenario?

    A3: The following are the benefits of using Python language:

    Object-Oriented Language

    High-Level Language

    Dynamically Typed language

    Extensive support Libraries

    Presence of third-party modules

    Open source and community development

    Portable and Interactive

    Portable across Operating systems


    Q4: How does Python’s garbage collection work?


    A4: Python’s garbage collector uses reference counting and a cyclic garbage collector to manage memory. When an object’s reference count drops to zero, it is immediately deallocated. The cyclic garbage collector detects and cleans up reference cycles that the reference counting mechanism cannot handle.


    Q5: What is Python? List some popular applications of Python in the world of technology.


    A5: Python is a widely used general-purpose, high-level programming language. It was created by Guido van Rossum in 1991 and further developed by the Python SoftwareFoundation. Itwas designed with an emphasis on code readability, and its syntax allows programmers to express their concepts in fewer lines of code.

    It is used for:

    System Scripting

    Web Development

    Game Development

    Software Development

    Complex Mathematics


    Python Course Content?



    Python Course Content:

    An Introduction to Python:

     What is Python

     What are the popular programming languages

     Why choose Python over other programming languages

     How is Python perfect for Data Analytics

     Job opportunities after completion of the Python course

     Different types of IDEs used for Python programming

     Python Installation

    Beginning Python Basics:

     The print statement

     Comments

     Keywords

     Operators

     Variables

     Data types

     Sequences, mutable and immutable objects

     Type casting

     String operations

     Indexing and Slicing

     Simple programs with user input

    Conditional statements in Python:

     Indentation

     Simple if statement

     If else statement

     Elif statement

     Nested if condition

     One line if conditions or short hand if conditions

    Loops or iterative statements:

     The while loop

     The for loop

     The Range statement

     Loops on sequences

     Break and Continue

     Nested for loops

     Programming examples on loops

    Collections or Data Structures:

     List

     Tuple

     Set

     Dictionary

     Nested collections

     Comprehension programming on Lists and Dictionaries

     Real-time examples using Collections

    Functions and Modules:

     Built-in functions

     User-defined functions

     Function with no arguments and no return value

     Function with arguments but no return value

     Function with arguments and return value

     Types of arguments

     Local and global variables

     Recursive functions

     Lambda function

     Mapping, filter and reduce

     Built in modules

     User defined modules

    Exception Handling:

     Types of Errors

     Exception handling

     Try, except, finally

     Raise

    Regular Expressions:

     Findall

     Search

     Split

     Sub

     Regex Functions with meta characters

    Text files in Python:

     Open(), read(), write(), close()

     Export data to text files

    Object Oriented Programming:

     Basic concepts of OOP

     Difference between general programming and OOP

     Classes and Objects

     __init__() method

     Self parameter

     Single inheritance

     Multilevel inheritance

     Multiple inheritance

     Hierarchical inheritance

     Polymorphism

    Data Analytics using Pandas Library:

     Data structures in Pandas: Series and DataFrames

     Import and Export data

     Working with Excel, CSV, Json, Delimited data files

     Sorting data (Ascending/Descending)

     Loc[] and iloc[]

     Search and Filter data

     Value_Counts

     Grouping data

     Pivot tables

     Merging data

     Concatenation of data

     Data cleaning

     Remove null values

     Fill null values with mean(), median() and mode()

     Identify duplicate records

     Remove duplicate records

    Data Visualization with Matplotlib library:

     Matplotlib Pyplot

     Matplotlib Plotting

     Matplotlib Markers

     Matplotlib Line

     Matplotlib Labels

     Matplotlib Grid

     Matplotlib Subplot

     Matplotlib Scatter

     Matplotlib Bars

     Matplotlib Histograms

     Matplotlib Pie charts

    Numpy Library (Numerical Python):

     Creating Arrays

     Array indexing

     Array slicing

     1D Arrays

     2D Arrays

     3D Arrays

     Array join

     Array Search

     Array filter

    Database Connectivities:

     Table creation in Oracle

     Oracle database connection in Python

     Collections and documents in MongoDB

     MongoDB database connection in Python

     Creation of Database and Tables in MySQL

     MySQL database connection with Python

     Near real-time examples with DB Connections

    Add-On:

     Live Recording Video classes

     Daily Class notes in PDF

     Printed Course material

     Online Quiz programs

     Interview Questions

    SS Trainings’s Python training in Hyderabad Course student’s success stories

    I highly recommend SS Trainings’ Python course to anyone looking to upskill in the field. The practical exercises and projects helped me sharpen my analytical skills, and the career support sessions were invaluable in preparing me for job interviews. It’s truly a program designed for success in today’s data-driven world.

    Arun Kumar

    Enrolling in SS Training’s Python course was the best decision I made for my career. The instructors were supportive and knowledgeable, and the interactive learning environment truly enhanced my understanding of data interpretation and visualization.

    Dayanand

    Call us for a free demo

    Don’t miss the chance to advance your career with our Python training in Hyderabad. Join SS Trainings and become a part of a community of successful data professionals.