Python Training

Python Training

Zongly in Noida runs Python programming online classes for both basic and advance learners. It is a gateway to a great Data Science career because it includes all the important concepts like Python libraries such as Pandas, Numpy and Matplotlib. The complete course includes data & file operations, object oriented concepts and the following.

Zongly sponsored Python programming training online courses include both the theory and practical training on coding, creating variables and demonstrating loops and conditional statements. The industry specific approach prepares the students for big career opportunities in AI, Robotics, Web Development and DevOps.

Zongly in Noida is a leading name in Python training. People from across the country visit its Noida center to learn Python lessons online. This certificate course is set according to industry requirements hence sufficient to kick start a career in Python learning used by high quality domains including finance, oil & gas and scientific computing.


Course Curriculam

Define Python

Understand the need for Programming

Know why to choose Python over other languages

Setup Python environment

Understand Various Python concepts – Variables, Data Types Operators, Conditional Statements and Loops

Illustrate String formatting

Understand Command Line Parameters and Flow control

Goal: Give a brief idea of what Python is and touch on the basics.

Learning Objectives: At the end of this Module, you should be able to:

Define Python

Understand the need for Programming

Know why to choose Python over other languages

Setup Python environment

Understand Various Python concepts “ Variables, Data Types Operators, Conditional Statements and Loops

Illustrate String formatting

Understand Command Line Parameters and Flow control

Goal: Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.

Learning Objectives: At the end of this Module, you should be able to:

Understand Operations performed on Files

Learn what Sequences are

Execute Sequence Operations

Understand Types of Sequences in Python: Lists, Tuples, Strings, Sets, Dictionaries

Topics:

Python files I/O Functions

Lists and related operations

Tuples and related operations

Strings and related operations

Sets and related operations

Dictionaries and related operations

Hands-on/Demo:

Tuple - properties, related operations, compared with a list

List - properties, related operations

Dictionary - properties, related operations

Set - properties, related operations

Goal: In this module, you will learn how to create user-defined functions and different Object-Oriented Concepts like Inheritance, Polymorphism, Overloading, etc.

Learning Objectives: At the end of this module, you should be able to:

Define and call Functions

Understand why the return statement is used

Understand and execute Object-Oriented Concepts

Topics:

Functions

Function Parameters

Global variables

Variable scope and Returning Values

Lambda Functions

Object-Oriented Concepts

Hands-on/Demo:

Functions - syntax, arguments, keyword arguments, return values

Lambda - features, syntax, options, compared with the functions

Goal: In this module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.

Learning Objectives: At the end of this module, you should be able to:

Use Standard Libraries

Use Modules

Understand Exception Handling

Create User-Defined Exceptions

Topics:

Standard Libraries

Modules Used in Python (OS, Sys, Date and Time etc.)

The Import statements

Module search path

Package installation ways

Errors and Exception Handling

Handling multiple exceptions

Hands-on/Demo:

Errors and exceptions - types of issues, remediation

Packages and module - modules, import options, sys path

Goal: This module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.

Learning Objectives: At the end of this module, you should be able to:

Create arrays using NumPy

Use NumPy to perform mathematical operations on arrays

Read and write data from text/CSV files into arrays and vice-versa

Understand Pandas and employ it for data manipulation

Understand and use the data structures available in Pandas

Read and write data between files and programs

Topics:

NumPy - arrays

Operations on arrays

Indexing slicing and iterating

Reading and writing arrays on files

Pandas - data structures & index operations

Reading and Writing data from Excel/CSV formats into Pandas

Hands-on/Demo:

NumPy library- Installation, Creating NumPy array, operations performed on NumPy array

Pandas library- Installation, creating series and data frames, Importing and exporting data

Goal: In this module, you will learn in detail about data visualization.

Learning Objectives: At the end of this module, you should be able to:

Create simple plots like scatter plot, histogram, bar graph, pie chart using Matplotlib

Add different styles to the plot

Use the different forms of plots available in Matplotlib

Topics:

matplotlib library

Grids, axes, plots

Markers, colors, fonts, and styling

Types of plots - bar graphs, pie charts, histograms

Contour plots

Hands-on/Demo:

Matplotlib - Installation, Using Scatterplot, histogram, bar graph, a pie chart to show information, Styling of Plot

Goal: Through this module, you will understand in detail about Data Manipulation.

Learning Objectives: At the end of this module, you should be able to:

Perform function manipulations on Data objects

Perform Concatenation, Merging and Joining on DataFrames

Iterate through DataFrames

Explore Datasets and extract insights from it

Topics:

Basic Functionalities of a data object

Merging of Data objects

Concatenation of data objects

Types of Joins on data objects

Exploring a Dataset

Analyzing a dataset

Hands-on/Demo:

Pandas Function- Nadim, axes, values, head-tail, sum, std, iteritems, iterrows, itertuples, GroupBy operations, Aggregation, Concatenation, Merging and joining

Goal: In this module, you will learn GUI programming using ipywidgets package.

Learning Objectives: After completing this module, you should be able to:

Learn ipywidgets package

Understand different widgets like Numeric Widgets, Boolean Widgets, Selection Widgets, String Widgets, Date Picker, Color Picker, and Container Widgets

Create an application 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/Demo:

Create GUI

Self-paced Concept: Network Programming and Multithreading

Goal: In this module, you will learn how to connect your server with MySQL DB. In addition, learn about Socket programming.

Learning Objectives: After completing this module, you should be able to:

Understand the concept of Database

Access MySQL DB

Create a socket for sending short messages

Learn Multithreading concepts

Topics:

MySQL DB access

Network programming

Multithreading

Hands-on/Demo:

Database Creation

CRUD Operations

Network Creation

Multithreading

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this Module, you should be able to:

Design a Web Map using Folium and Pandas for displaying Volcanoes in USA and Population in different countries in a Single map Represent information from Dataset with the help of Plots

Topics:

Use of Folium Library

Use of Pandas Library

Flowchart of Web Map application

Developing Web Map using Folium and Pandas

Reading information from Dataset and represent it using Plots

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this module, you should be able to:

Perform Web Scraping using Python

Visualize Data on the browser using Bokeh

Use OpenCV to create a motion detection software

Topics:

Beautiful Soup Library

Requests Library

Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests

Plotting charts using Bokeh

Plotting scatterplots using Bokeh

Image Editing using OpenCV

Face detection using OpenCV

Motion Detection and Capturing Video

FAQ

Our Trainers are working professional who have vast experience in IT Industry.

We have three Modes of Training - Classroom Training , online Training and corporate Trainings.

Yes, you can go through a demo session to understand about the topic . you can contact us for Demo.

You will never miss a lecture at Zongly. You can view the recorded session of the class available or You can attend the missed session, in any other live batch.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the recording access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

You can give us a Call at +91-9650836300 OR email at contact@Zongly.com

For Demo request

Python Training Upcoming Batches

Weekend - 30 hours Training

10 Apr

11:00 AM - 1:00 PM ( IST )

Weekend - 30 hours Training

10 Apr

3:00 PM - 5:00 PM ( IST )

Weekend - 30 hours Training

10 Apr

10:00 AM - 12:00 PM ( IST )

MODES OF DELIVERY

Online Training

Instructor Led live online training

Classroom Training

Instructor Led classroom training

One to One Training

Customized and Exclusive training based on your requirement

Team/Corporate Training

Customize Corporate Training

KEY FEATURES

Course Customization

Course customization according to requirement

Real-time Projects

Training on Real time Projects.

Learning Management System

Recorded Every Session and shared with Learners