Python Course
Python Training in Gwalior is designed as per the Industrial Requirement with Live Project. Join Best Python Training Institute in Gwalior with 100% Job Assistance. Zint have a team of highly experienced professionals faculties with more than 8 years of experience in Python programming and other related python technologies. Our faculty members are fully aware of industry requirements and ready to deliver full-fledged and industrial based Python course to students across Gwalior. We at Zint, provide our students with a perfect platform to learn and explore the subject from corporate trainer & industry experts.
Get An Excellent Class on Python Course
As Best Python Training Institute in Gwalior, We Designed our Python syllabus in such a way that it’s compliant with the real world requirements for both beginners to advanced level students. Our Python Course is constructed as per the Current IT Industry Standard with Live Project Based Training. .
Python TRAINING Content
Python
Python Syntax
Python Comments
Python Variables
Python Data Types
Python Numbers
Python Casting
Python Strings
Python Booleans
Python Operators
Python Lists
Python Tuples
Python Sets
Python Dictionaries
Python If…Else
Python While Loops
Python For Loops
Python Functions
Python Lambda
Python Arrays
Python Classes/Objects
Python Inheritance
Python Iterators
Python Scope
Python Modules
Python Dates
Python Math
Python RegEx
Python PIP
Python Try…Except
Python User Input
Python String Formatting
NumPy Intro
NumPy Getting Started
NumPy Creating Arrays
NumPy Array Indexing
NumPy Array Slicing
NumPy Data Types
NumPy Copy vsView
NumPy Array Shape
NumPy Array Reshape
NumPy Array Iterating
NumPy Array Join
NumPy Array Split
NumPy Array Search
NumPy Array Sort
NumPy Array Filter
NumPyRandom
NumPyufunc
Python Pandas
Pandas Introduction
Pandas Getting Started
Pandas Series
Pandas Data Frames
Pandas Read CSV
Pandas Analyzing Data
Pandas Cleaning
DataPandas Correlations
Pandas Plotting
Matplotlib Intro
Matplotlib Get Started
MatplotlibPyplot
Matplotlib Plotting
Matplotlib Markers
Matplotlib Line
Matplotlib Labels
Matplotlib Grid
Matplotlib Subplots
Matplotlib Scatter
Matplotlib Bars
Matplotlib Histograms
Matplotlib Pie Charts
- Python Overview
- About Interpreted Languages
- Advantages/Disadvantages of Python pydoc
- Starting Python
- Interpreter PATH
- Using the Interpreter
- Running a Python Script
- Python Scripts on UNIX/Windows, Editors and IDEs
- Using Variables
- Keywords
- Built-in Functions
- StringsDifferent Literals
- Math Operators and Expressions
- Writing to the Screen
- String Formatting
- Command Line Parameters and Flow Control
- Lists
- Tuples
- Indexing and Slicing
- Iterating through a Sequence
- Functions for all Sequences
- Using Enumerate()
- Operators and Keywords for Sequences
- The xrange() function
- List Comprehensions
- Generator Expressions
- Dictionaries and Sets
- Functions
- Function Parameters
- Global Variables
- Variable Scope and Returning Values. Sorting
- Alternate Keys
- Lambda Functions
- Sorting Collections of Collections, Dictionaries and Lists in Place
- Errors and Exception Handling
- Handling Multiple Exceptions
- The Standard Exception Hierarchy
- Using Modules
- The Import Statement
- Module Search Path
- Package Installation Ways
- The Sys Module
- Interpreter Information
- STDIO
- Launching External Programs
- path directories and Filenames
- Walking Directory Trees
- Math Function
- Random Numbers
- Dates and Times
- Zipped Archives
- Introduction to Python Classes
- Defining Classes
- Initializers
- Instance Methods
- Properties
- Class Methods and Data Static Methods
- Private Methods and Inheritance
- Module Aliases and Regular Expressions
- Debugging
- Dealing with Errors
- Using Unit Tests
- Project Skeleton
- Required Packages
- Creating the Skeleton
- Project Directory
- Final Directory Structure
- Testing your Setup
- Using the Skeleton
- Creating a Database with SQLite 3
- CRUD Operations
- Creating a Database Object.
- Introduction to Machine Learning
- Areas of Implementation of Machine Learning
- Why Python
- Major Classes of Learning Algorithms
- Supervised vs Unsupervised Learning
- Learning NumPy
- Learning Scipy
- Basic plotting using Matplotlib
- Machine Learning application
- Classification Problem
- Classifying with k-Nearest Neighbours (kNN)
- General Approach to kNN
- Building the Classifier from Scratch
- Testing the Classifier
- Measuring the Performance of the Classifier
- Clustering Problem
- What is K-Means Clustering
- Clustering with k-Means in Python and an
- Introduction to Pandas
- Creating Data Frames
- GroupingSorting
- Plotting Data
- Creating Functions
- Converting Different Formats
- Combining Data from Various Formats
- Slicing/Dicing Operations.
- Introduction to Scikit-Learn
- Inbuilt Algorithms for Use
- What is Hadoop and why it is popular
- Distributed Computation and Functional Programming
- Understanding MapReduce Framework Sample MapReduce Job Run
- PIG and HIVE Basics
- Streaming Feature in Hadoop
- Map Reduce Job Run using Python
- Writing a PIG UDF in Python
- Writing a HIVE UDF in Python
- Pydoop and MRjob Basics
- Real world project
Get An Excellent Class For Short Hand Steno Typing
Zint Institute is a leading STENO HINDI training institute in Gwalior because we have 14+ years of knowledgeable and talented instructor which delivers real-time live STENO course training in Gwalior. We have designed this course for job seekers, students, working professionals and entrepreneurs.
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Website Designing Course Syllabus 2022
3 TO 4 MONTH TRAINING
1 HOURS CLASSE MONDAY TO SATURDAY
EXPERIENCE WEBSITE FACULTY
EXPERIENCE WEBSITE DESIGNING SERVICES
Fees Structure
Rs. 12000/-
Rs. 11000/-
Rs. 4000/-
Rs. 4000/-
Rs. 4000/-
Course Details-:
PHP – Hypertext Preprocessor
HTML- Hypertext Markup Language
CSS – Cascading Style Sheets
JAVA SCRIPT – JS stands for JavaScript
CMS – Content management system
JQUERY
WORDPRESS
DATA BASE
DRUPAL
WORKING ON LIVE PROJECT
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The quality of the teachers at zint institute is truly remarkable they are not just subject matter expert but also excellent educators who can convey complex information clearly and effectively also support projects. The instructions passion for data science and data analytics is papable and infectious, making the learning experience engining and inspiring. Placement is good.
