Python Training in Visakhapatnam

About Course

Python is a general-purpose programming language supports high-level language features and was created by Guido Van Rossum and released in the year 1991.  It has a feature of dynamic type and automatic memory management also supporting multi-programming concepts object-oriented and function oriented.

It is useful to develop various complex applications like chip level, web level, and gaming application. Coding is much easier and has a large collection of in-built library functions reducing time complexity.

 

Python Course Overview

Introduction

  • Why do we need Python?
  • Features of Python Language
  • Interactive Shell
  • Executable or script files.
  • User Interface or IDE
  • Program structure
  • Variables, Operators, and Datatypes
  • Operators
  • Execution steps

Conditional Statements 

  • Using of If statement
  • if-else statement
  • Nested if-else statement

Python Loops

  • for loop
  • while loop 
  • do while loop
  • break, continue and pass

Python Strings

  • Accessing a string
  • Basic operations with strings
  • String Functions and Methods
  • String slices

Python Lists

  • Introduction to lists
  • Accessing a List 
  • Working with lists
  • List Functions
  • List Methods

Python Tuples

  • What is tuple?
  • Creating tuples
  • Operations with tuples
  • Tuples Functions and Methods

Dictionary

  • What is a Dictionary in python?
  • Creating Dictionaries
  • Working with Dictionaries
  • Dictionary properties
  • Dictionary Functions

Functions

  • Function Definition
  • Calling a Function in Python
  • Function Types
  • Function Arguments
  • Global and Local Variables in Python
  • Anonymous Functions

Modules

  • What is a module in Python
  • Importing a module
  • Math and Random module
  • Composition
  • Packages

OOPS Concepts

  • Classes and objects
  • Creating a Class and an Object
  • Attributes
  • Inheritance
  • Overriding
  • Overloading
  • Encapsulation
  • Packages

Regular Expressions

  • Search Function
  • Match Function
  • Searching vs Matching
  • Modifiers 
  • Patterns

Multithreading

  • What is a thread?
  • Starting a thread
  • Thread Modules
  • Multithread priority
  • Synchronizing threads

Exception Handling

  • What are exceptions
  • Exception Handling
  • Raise an Exception
  • User-defined Exception
  • Except clause
  • Try and finally clause

Advanced Concepts

  • Decorators
  • Generators
  • Iterators
  • Co-routines
  • Standard Library Modules
  • References

Exercises

Roadmap with Python 

 

Who is eligible for this course

  • System Engineers

  • Software Programmers

  • IT Professionals
  • Freshers and Graduates
  • Project Managers
  • Sales Professionals
  • Data Analytic professionals

 

Pre-Requisites of this course

It's better to know the C language. Actually, there is no prerequisite for this course but some basic programming language will be an added advantage.

 

Python training program in Softenant, Vizag

Our certification Course in Python makes you learn from scratch. Our training experts match your needs and expectations. We build strong fundamentals and make comfortable in python programming. Each and every part of the course will be taken in the utmost care. Our training methods include beginners, intermediate and advanced training.

This Python program will help you to master in very important programming concepts such as Lists, Tuples, Dictionary, Functions, Modules, Object Oriented Programming concepts, Multi-threading, Exceptions and so on.

 

 

Interesting and Important Facts About Python

  • There are 1, 47,000 packages in python package repository which makes python more popular and versatile.
  • We can use Python for Web Development, Data Visualization, Data science, Game Development, and DevOps.
  • Python has become the choice for AI researchers. It provides a very strong platform for AI Development
  • According to a Research Python is growing very rapidly for the past few years.

Java vs Python - Click here for detailed information

Java is a compiled language whereas python is an interpreted language. Comparing with interpreted code compiler code is much faster at the time of execution.

Python is an open source as compared to java. Python compiles code automatically but java first generated byte code and the most important thing is java is statically typed whereas python is dynamically typed. Thus python code is very to easy

 

Python for Data science

Python is largely used for data analysis. There are mainly five python libraries available to perform data analysis.  Numpy, Pandas, SciPy, Matplotlib and Scikit-learn.

  • Numpy is used for scientific computing. It facilitates with multi-dimensional arrays and matrices. It also helps us to perform high-level mathematical functions to operate on those arrays.
  • Pandas offer data structures and used to perform manipulating Numerical tables and time series.
  • Scipy is used for numerical integration and optimization.
  • Matplotlib is for 2d Plotting. It is used to generate data visualizations,  bar charts, scatter plots.
  • Scikit-learn is used for machine learning. It supports vector machines, naïve Bayes, logistic regression and gradient boosting.

 

What is a NumPy

Numpy stands for Numeric python, it is an open source. It is a package in python. Numpy library is mainly used to process multi-dimensional arrays objects.

The main operations can be performed by using are Mathematical and logical operations on arrays. Operations related to linear algebra. It has a built-in function for linear algebra and for generating random numbers.

It is used along with the packages SciPy and Mat-plotlib. All these combinations are an alternative to MatLab.

 

What are pandas in Python

Pandas is a library for python software and Pandas stands for Python Data Analysis. Its name is derived from Word Panel Data. Its main priority is data munging. By using it we can load, prepare, manipulate, model and analyze data. In Windows, if we Install Anaconda Python Package, Pandas will be installed.

 

What is Scipy in Python

It is an Open-Source Python Library mainly used for Scientific computing.  It supports special functions, ODE, Integration, and  Parallel Programming tools. It is very easy to use and can operate on an array of NumPy library.

 

What is Matplotlib

It is a library in Python for plotting 2D graphs by using python scripts. It supports bar charts, error charts, histogram, and power spectra. It can also be used with wxPython and PyQt. Using Matplotlib with Numpy is an alternative MatLab.

 

What is scikit-learn

It is an Open source library provides many supervised and unsupervised algorithms. It includes Regression, Classification, Clustering, Model Selection, and Preprocessing.

 

Python for Data Science Course Overview

Python Essentials

  •  Data types
  •  Packages
  •  Namespaces
  •  Control Flow
  •  Code Profiling
  •  Debugging
  •  Solving

Accessing Data and Preparation

  • Accessing SQL databases
  • Loading form CSV files
  • Cleansing data
  • Normalizing data
  • Formatting data
  • Stripping data

Numerical Analysis and Data Exploration

  • Using NumPy array
  • Memory Mapped files
  • N-Dimensional arrays
  • Array Operations and manipulations
  • Visualizing data
  • 2D Plotting
  • Matplotlib
  • Seaborn

Pandas

  • Data Manipulation
  • Time series
  • Statistical Analysis

Machine Learning

  • Scikit-learn
  • Estimator interface and transformer interface
  • Pre-Processing data
  • Classification
  • Model Selection

 

Softenant Technologies is one of the best training institutes in Vizag for Python and Python for Data Science. We designed the course in such a way that anyone can become a master in this popular programming language.

 

Our training helps students to acquire knowledge in each and every module with the best practicing skill set. Especially for job seekers and freshers, our training methodology gives confidence. After the completion of the course, students will be awarded certification.

 

Course Objective

  • Basics of Python
  • Working with flow controls
  • Real-time Examples with Python
  • Object-Oriented Programming with Python
  • Building advanced programs
  • Career development with Python

Comparison of Various Programming Languages.