Python Training in Udaipur Full Stack Developemnt live Project Summer Training Development Company

WHY TO CHOOSE PYTHON PROGAMING DEVELOPMENT TRAINING COURSES AT KEEN INFOTECH

We provide the python programming with live class
Well Equipped Computer Python Development Developers
100% Practical Oriented Sessions
Our python developer trainers have minimum 7 years python application development experience
100% Job Placement Assistance.
Learn How to make your python Project Live on Domain and IP Address
Product Based Training
Extensive Support python Libraries
Real-Time Case Studies
Use of Latest Tools & Technology
Daily Handouts & Lab Exercise

Python Development Training Full Stack Development Machine Learning Data Analysis AI Kivy

DESCRIPTION

The course is designed to provide Basic and Advance knowledge of Python. Python programming is intended for software engineers, Machine Learning , Data analysis, Kivy App Development system analysis, program managers and user support personnel who wish to learn the Python programming language. Ease of use for beginners.

Python is one of the easiest programming languages to learn.
Quick application development time.
Extensive data visualization support.
Open-source larges libraries.
Leading companies are using Python.

WHY ONE SHOULD CHOOSE PYTHON DEVELOPMENT AS CAREER?

Python is found to one of the most popular programming frameworks for data science data analysis artificial intelligence App kivy across the world. It is also one of the best programming languages when it comes to adaptability

Why do you want to build your career as Python development ?

Python is easy to pick up / easy Syntax and a versatile programming language. Due to its fast growing popularity and the universal dependence on web or computer-based applications, Python jobs are also on the rise

Python developer a good career?

No wonder Python has been constantly in demand since its existence. Python developer is surely one of the most recommended career options for any professional.

Why you should choose Python?

Readable and Maintainable Code.

Multiple Programming Paradigms.

Compatible with Major Platforms and Systems.

Robust Standard Library.

Many Open Source Frameworks and Tools.

Simplify Complex Software Development.

Adopt Test Driven Development.

Why Python is so popular?

First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. Python is also very famous for its simple programming syntax, code readability and English like commands that make coding in Python lot easier and efficient.

How python different from other languages

Python is an interpreted and dynamically typed language, whereas Java is a compiled and statically typed language. Python code doesnt need to be compiled before being run. Java code, on the other hand, needs to be compiled from code readable by humans to code readable by the machine

Python is used by hundreds of thousands of programmers and is used in many places. Sometimes only Python code is used for a program, but most of the time it is used to do simple jobs while another programming language is used to do more complicated tasks. Its standard library is made up of many functions that come with Python when it is installed. On the Internet there are many other libraries available that make it possible for the Python language to do more things. These libraries make it a powerful language; it can do many different things.
Some things that Python is often used for are

WHO CAN LEARN Pytohn ?

1. Any graduate student can learn python with dedication, hard work and guidance of our trainers.

Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc student in any stream can get Training in Udaipur for Python development for his/her career

Over the entire course you will learn:

Python
HTML & HTML 5
CSS & CSS 3
Responsive Design with Bootstrap
JavaScript
jQuery
AJAX
MongoDB
APIs (both creating them and interacting with them)

WHAT IS SCOPE OF CAREER GROWTH IN ANDROID AFTER TRAINING?

PREREQUISITES

Python Programming Training Outline

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
Methods print(), str(), and int()
The format() method
Getting user input with the input() method
Asking users for input
Command line parameters

Flow Control

About flow control
if Statements
for Statements
while Statements
The range() Function
break and continue Statements, and else Clauses on Loops
pass Statements

Defining Functions

Syntax of function definition
Keyword Arguments
Default Argument Values
Keyword Arguments
Arbitrary Argument Lists
Unpacking Argument Lists
Lambda Expressions
Documentation Strings
Function Annotations

Data Structures

Using Lists as Stacks
Using Lists as Queues
List Comprehensions
Nested List Comprehensions
The del statement
Tuples and Sequences
Sets
Dictionaries
Looping Techniques

Modules

Executing modules as scripts
The Module Search Path
“Compiled” Python files
Standard Modules
The dir() Function
Packages
Importing * From a Package
Intra-package References
Packages in Multiple Directories

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
Methods of File Objects
Saving structured data with json

Errors and Exceptions

Syntax Errors
Exceptions
Handling Exceptions
Raising Exceptions
User-defined Exceptions
Defining Clean-up Actions
Predefined Clean-up Actions

Classes

Class Definition Syntax
Class Objects
Instance Objects
Method Objects
Class and Instance Variables
Inheritance
Multiple Inheritance
Private Variables
Odds and Ends
Iterators
Generators
Python Scopes and Namespaces

Standard Library

Operating System Interface
File Wildcards
Command Line Arguments
String Pattern Matching
Mathematics
Internet Access
Dates and Times
Data Compression
Performance Measurement
Quality Control
Templating
Working with Binary Data Record Layouts
Multi-threading
Logging

Machine Learning

Pre Program Preparation

Python for Data Analysis: Get acquainted with Data Strtuctures, Object Oriented Programming, Data Manipulation and Data Visualization in Python

Introduction to SQL: Learn SQL for querying information from databases
Math for Data Analysis: Brush up your knowledge of Linear Algebra, Matrices, Eigen Vectors and their application for Data Analysis

Statistics Essentails

Inferential Statistics: Learn Probability Distribution Functions, Random Variables, Sampling Methods, Central Limit Theorem and more to draw inferences

Hypothesis Testing: Understand how to formulate and test hypotheses to solve business problems Exploratory Data Analysis: Learn how to summarize data sets and derive initial insights

MachineLearning

Linear Regression: Learn to implement linear regression and predict continuous data values
Supervised Learning: Understand and implement algorithms like Naive Bayes and Logistic Regression
Unsupervised Learning: Learn how to create segments based on similarities using K-Means and Hierarchical clustering
Support Vector Machines: Learn how to classify data points using support vectors
Decision Trees: Tree-based model that is simple and easy to use. Learn the fundamentals on how to implement them

Natural Languege Processing

Basics of text processing: Get started with the Natural language toolkit, learn the basics of text processing in python
Lexical processing: Learn how to extract features from unstructured text and build machine learning models on text data
Syntax and Semantics: Conduct sentiment analysis, learn to parse English sentences and extract meaning from them
Other problems in text analytics: Explore the applications of text analytics in new areas and various business domains

Information flow in a neural network: Understand the components and structure of artificial neural networks

Training a neural network: Learn the cutting-edge techniques used to train highly complex neural networks

Convolutional Neural Networks: Use CNN's to solve complex image classification problems

Recurrent Neural Networks: Study LSTMs and RNN's applications in text analytic

Creating and deploying networks using Tensorflow and keras: Build and deploy your own deep neural networks on a website, learn to use the Tensorflow API and Keras

Keen Infotech Python Latest News

New PyPI launched, legacy PyPI shutting down April 30 New PyPI launched, legacy PyPI shutting down April 30. Starting today, the canonical Python Package Index is at https://pypi.org and uses the new Warehouse codebase. We announced the https://pypi.org beta on March 26 and your feedback and test usage have helped us get it production-ready. Monday April 16 (2018-04-16): We launched the new PyPI, redirecting browser traffic and API calls (including "pip install") from pypi.python.org to the new site. The old codebase is still available at https://legacy.pypi.org for now. Monday April 30 (2018-04-30): We plan to shut down legacy PyPI https://legacy.pypi.org . The address pypi.python.org will continue to redirect to Warehouse

KEEN INFOTECH Technologies - core python, python web framework, python machine learning, python artificial intelligence Development Training Provider in Udaipur #pythonudaipur

Python Training Company In Udaipur Rajasthan India Python Machine Learning Data Analysis