Learning Objectives: It is the preliminary part of the Python certification course. Here you will be learning about the basics of Python.

Topics:

Need for Programming
Advantages of Programming
Overview of Python
Organizations using Python
Python Applications in Various Domains
Python Installation
Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments

Hands-On:

Creating the “Hello World” code
Numbers in Python
Demonstrating Conditional Statements
Demonstrating Loops

Learning Objectives: In this part, you will be learning about various types of sequence structures, execute sequence operations, and their usage. Also know ways of performing on Files.

Topics:

Method of Accepting User Input and eval Function
Python - Files Input/Output Functions
Lists and Related Operations
Tuples and Related Operations
Strings and Related Operations
Sets and Related Operations
Dictionaries and Related Operations

Hands-On:

File Handling
Tuple - Properties, Related Operations
List - Properties, Related Operations
Dictionary - Properties, Related Operations
Set - Properties, Related Operations
String – Properties, Related Operations

Learning Objectives: This module teaches you the various types of functions and different Object-Oriented Concepts like Abstraction, constructor, polymorphism, inheritance, overloading, etc.

Topics:

User-Defined Functions
Concept of Return Statement
Concept of __name__=” __main__”
Function Parameters
Different Types of Arguments
Global Variables
Global Keyword
Variable Scope and Returning Values
Lambda Functions
Various Built-In Functions
Introduction to Object-Oriented Concepts
Built-In Class Attributes
Public, Protected and Private Attributes, and Methods
Class Variable and Instance Variable
Constructor and Destructor
Decorator in Python
Core Object-Oriented Principles
Inheritance and Its Types
Method Resolution Order
Overloading
Overriding
Getter and Setter Methods
Inheritance-In-Class Case Study

Hands-On:

Functions - Syntax, Arguments, Keyword Arguments, and Return Values
Lambda - Features, Syntax, Options
Built-In Functions
Python Object-Oriented Concepts Applications
Python Object-Oriented Core Principles and Its Applications
Inheritance Case Study

Learning Objectives: Here you will learn the ways of creating generic python scripts, exceptions in code, and filter content using regex.

Topics:

Standard Libraries
Packages and Import Statements
Reload Function
Important Modules in Python
Sys Module
Os Module
Math Module
Date-Time Module
Random Module
JSON Module
Regular Expression
Exception Handling

Hands-On:

Packages and Modules
Regular Expressions
Errors and Exceptions - Types of Issues, and Their Remediation

Learning Objectives: In this course, you will get versed in the concepts of data analysis from two libraries that are essential. You will also learn to handle Files through the NumPy library.

Topics:

Basics of Data Analysis
NumPy - Arrays
Operations on Arrays
Indexing Slicing and Iterating
NumPy Array Attributes
Matrix Product
NumPy Functions
Functions
Array Manipulation
File Handling Using NumPy

Hands-On:

Matrix Product and Aggregate Functions using Numpy
Array Creation and Logic Functions
File Handling Using Numpy

Learning Objectives: While you are in this phase of your training, you will learn dataset analysis and data manipulation through Pandas.

Topics:

Introduction to pandas
Data structures in pandas
Series
Data Frames
Importing and Exporting Files in Python
Basic Functionalities of a Data Object
Merging of Data Objects
Concatenation of Data Objects
Types of Joins on Data Objects
Data Cleaning using pandas
Exploring Datasets

Hands-On:

Functionality of Series
The Functionality of Data Frame
Combining Data from Dataset
Cleaning Data

Learning Objectives: Learn data visualization using Matplotlib in this module of corporate training in Python.

Topics:

Why Data Visualization?
Matplotlib Library
Line Plots
Multiline Plots
Bar Plot
Histogram
Pie Chart
Scatter Plot
Boxplot
Saving Charts
Customizing Visualizations
Saving Plots
Grids
Subplots

Hands-On:

Plotting Different Types of Charts
Customizing Visualizations Using Matplotlib
Customizing Visualizations and Subplots

Learning Objectives: GUI programming is another vital part of the training course in python. In this section, you will learn to use GUI programming with the ipywidgets package.

Topics:

Ipywidgets Package
Numeric Widgets
Boolean Widgets
Selection Widgets
String Widgets
Date Picker
Color Picker
Container Widgets
Creating a GUI Application

Hands-On:

Creating GUI Elements
Creating an application containing GUI elements

Learning Objectives: Learn to design python applications in this module.

Topics:

Use of Folium Library
Use of Pandas Library
Flow Chart of Web Map Application
Developing Web Map Using Folium and Pandas
Reading Information from Titanic Dataset and Represent It Using Plots

Learning Objectives: This module will teach you to design Python Applications.

Topics:

Beautiful Soup Library
Requests Library
Scrap All Hyperlinks from a Webpage Using Beautiful Soup and Requests
Plotting Charts Using Bokeh
Plotting Scatterplots Using Bokeh
Image Editing Using OpenCV
Face Detection Using OpenCV
Motion Detection and Capturing Video

Our up to date Node JS course syllabus will help you learn to create dynamic page content and update the database efficiently. The whole syllabus is prepared to keep it in line with the current industry standards. It gets updated regularly without fail.

The Python Certification training course covers both basic and advanced concepts of Python, such as writing Python scripts, sequence and file operations, object-oriented concepts, and web scraping. During this Python Training, you will learn many essential and widely used Python libraries such as Pandas, NumPy, Matplotlib, among others.

Python has gained popularity due to its convenient nature and the ability to serve in various fields. The benefits that you gained by getting trained in Python are as follows
Data science
Web development
Finance and trading
Mathematical computing and scientific
Administration and system automation
Computer graphics
Penetration and security testing
Mapping and geography
Application-specific scripting
Game development
Work on various platforms like Mac, Linux, Windows, Raspberry Pi, etc

Upon completing this Python training course, you will be able to:
Write Python scripts and test code
Programmatically download and analyze data
Implement the techniques to deal with different types of data – ordinal, categorical, encoding
Create data visualization
Use Python notebooks and master the art of presenting step-by-step data analysis
Edureka offers the best Python course . Enroll now to get trained under the guidance of industry experts.

This Python Certification training is a good fit for the below professionals:
Programmers, Developers, Technical Leads, Architects, Freshers Data Scientists, Data Analysts Statisticians and Analysts Business Analysts Project Managers Business Intelligence Managers

There are no specific prerequisites for taking up the Python Course . Basic understanding of Computer Programming terminologies is beneficial.

It falls under the full-stack framework that has gained popularity and is even considered to be one of the top frameworks of Python. Django contains numerous inbuilt libraries and also provides assistance to transfer from one database to another

Key features:

Django serves URL routing.

Authentic support is provided.

It serves sufficient prebuilt libraries for full-stack development.

It is another light-weighted micro-framework. This framework is easily adaptable due to its modular design.

Key features:

It is compatible with the google app engine.

It has an inbuilt debugger.

Flask supports HHTP request handling.

It is ideal for small applications and is generally utilized for constructing APIs. Moreover, you also get access to form cookies, file uploads, HTTP related metadata, and data formation

Key features:

By using the Bottle framework it is easy to get access to forum data, cookies, file uploads, and other HTTP-related metadata.

The bottle offers an in-built HTTP server.

Various databases are supported by the plugin in this framework.

It is the official integrated development environment (IDE) for Android application development. Android Studio serves added features that enhance the productivity of Android applications. To provide proper support to applications developed in the Android operating system, Android Studio utilizes a Gradle-based build system, code templates, GitHub integration, and an emulator. It also uses an instant push feature to resource changes in an ongoing application and also pushes codes.

Reasons developers use Android Studio

Faster coding: As the Android Studio is supported by IntelliJ IDEA, this IDE provides fast code completion and also gets an instant evaluation of the workflow. There are some specific features of the Android Studio for optimized coding output.

Fast and feature-rich emulator: Android Studio uses an emulator to start the entire application faster than that of the actual device. This allows you to test the app across multiple devices like phones, Android wear, tablets, and Android TV to stimulate different hardware features like multiple touch inputs, motion and acceleration sensors, GPS, etc.

Layout editor: If you are looking forward to working with XML it is better to choose Android Studio as it allows you to use files using the drop editor tool and visual drag. It assists in maintaining optimized design approaches depending on the requirement of the device.

Web2Py is a framework that falls under the full-stack category. It is considered to be an open-source scalable framework that serves to support other operating systems.

Key features:

This framework allows the easy readability of multiple protocols.

Through Web2Py role-based access can be controlled.

It assists internalization.

It is considered to be one of the oldest microframeworks that have a minimalist approach. CherryPy is an objected-oriented and open-source framework.

Key features:

This framework of Python is platform-independent.

Multiple servers can be run simultaneously through the CherryPy framework.

This framework runs on Android.

This full-stack Python framework uses cubes instead of using discredited views and models. It is considered to be an open-source, semantic and free-to-use web framework.

Key features:

CubicWeb supports multiple databases

The relational query language (RQL) is used for clarifying data-related queries.

It supports OWL (web ontology language)

Growler is an asynchronous type of framework that is constructed on the python asyncio library. This framework manages requests by passing them via middleware technology.

Key features:

It supports a multitude of open-source packages.

The ziapp module zips the entire app into a single execution file.

Decorators are used for writing reusable and clean code.

It is the work of a python developer to work on the coding to build a website, application, game, data science, AI, and machine learning

A python developer needs to be efficient in the python framework, server-side languages, front-end technology, ML, AI, communication skills, and many more.

The demand for Python developers is increasing day by day. Therefore getting trained in Python will increase the chance of getting placed at the best IT companies.

Version numbers
Using OS and SYS
Slicing
Generators
Dictionaries and sets
Python shell