Python Online Training

Python Online Training

Edureka’s Python Programming Certification Course will help you master important Python programming concepts such as Data Operations, File Operations, Object-Oriented concepts, and various Python libraries such as Pandas, Numpy, Matplotlib and many more. You will learn Data Visualization and techniques to deal with different types of data – ordinal, categorical, encoding. This course makes you industry-ready by working on real-life case-studies and equipping you with relevant concepts.

Introduction to Python

Learning Objective: In this module, you will get to know about the basic concepts 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

Sequences and File Operations

Learning Objective: Perform operations on Files and learn different types of sequence structures, their usage, and execute sequence operations.

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

Deep Dive – Functions and OOPs

Learning Objective: Learn about different types of Functions and various Object-Oriented concepts such as Abstraction, Inheritance, Polymorphism, Overloading, Constructor, and so on.

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

Working with Modules and Handling Exceptions

Learning Objective: Learn how to create generic python scripts, address errors/exceptions in code, and extract/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

Introduction to NumPy

Learning Objective: Get familiar with the basics of Data Analysis using two essential libraries: NumPy and Pandas. You will also understand the concept of file handling using 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

Data Manipulation using pandas

Learning Objective: Gain in-depth knowledge about analyzing datasets and data manipulation using 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

Data Visualization using Matplotlib

Learning Objective: Learn Data Visualization using Matplotlib.

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

GUI Programming

Learning Objective: In this module, you will learn GUI programming using 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

Developing Web Maps and Representing Information using Plots (Self-paced)

Learning Objective: Learn to design Python Applications.

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

Computer Vision using OpenCV and Visualisation using Bokeh (Self-paced)

Learning Objective: Learn 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