| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Python Beginner & Intermediate Level |
3 Months |
60 |
36000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
|
Python Advance Level |
6 Months |
120 |
60,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
|
Python Professional Level |
12 Months |
240 |
120,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Python Programming Training Certification Course
When you will be course complete then 100% you will be earn 1lack
Python Programming training certification course Start your career as a professional Python developer.
Overview
This is an introductory Python Programming training certification course that provides a strong foundation that would allow students to further their skills with additional education. The course begins with an overview of Python and quickly has students building simple applications. Python syntax, including function and module design, is considered. File consumption and exception handling are also included early in the class. In addition, there is an examination of using different data types.
Audience Profile
This course Python Programming training certification course is specially designed for individuals with little or no programming background. Those with prior programming experience should alternatively consider our Introduction to Python course. For details on this faster-paced course for programmers, go to:
Technocation provides an excellent faculty and qualified developers as there is a remarkable prospect in this field. One can make his/her website or blog with the help of both Python Programming and establishing an identity and get guidance in Rawalpindi.
We provide Free Hosting and Domain Registration convenience to our students to make their projects live and work.
Therefore, we aim to shape inspiring students with in-depth training to meet the requirements of the IT industry and build substantial grounds in Python Programming Training by exhibiting students with various projects. Technocation also bestows the Best Python Programming Training Course in Rawalpindi, Islamabad.
We guide people from every background to change their lives via our career-oriented short-term courses in Rawalpindi. Our evening and online course primarily focus on school, college, university students, and full/part-time employees.
At Course Completion
After completing this Python Programming training certification course, students will be able to:
• Understand the different types of Python applications
• Recognize source code for a console application
• Use the interactive shell
• Manage source files
• Fix both syntax and runtime errors
• Compile and run a program
• Code statements, add comments, and organize code into functions
• Name and assign values to variables
• Author expressions
• Include special characters
• Use predefined Python functions
• Use relational and logical operators
• Code and nest if statements
• Use loops
• Create and call functions
• Provide arguments for functions
• Use standard modules
• Plan functions in a program with hierarchy charts
• Gain techniques for debugging more easily, including setting breakpoints
• Create, sort, and use lists of one or multiple dimensions
• Create and use tuples
• Read, write, and manage files – both text and binary
• Work, in great detail, with various string, numeric, and date/time types
Advantages of developing Python Programming Course
- Easy to Read, Learn and Write. Python is a high-level programming language that has English-like syntax. …
- Improved Productivity. Python is a very productive language. …
- Interpreted Language. …
- Dynamically Typed. …
- Free and Open-Source. …
- Vast Libraries Support. …
- Portability.
Why learn Python Programming development?
Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, and machine learning.
For Furthermore detail you can see the outline.
Python Programming Training Certification Course Outline
Python Programming – New to Programming
Session 1:An introduction to Python
- Introduction to Python
- How to use IDLE to develop programs
Session 2:How to write your first program
- Basic coding skills
- How to work with data types and variables
- How to work with numeric data
- How to work with string data
- How to use five of the Python functions
Session 3:How to code control statements
- How to code boolean expressions
- How to code the selection structure
- How to use the iteration structure
Session 4:How to define and use functions and modules
- How to define and use functions
- More skills for defining and using functions
- How to create and use modules
- How to use the standard module
- How to plan the functions of a program
Session 5:Developing ViewsHow to test and debug a program
- An introduction to testing and debugging
- Four techniques for testing and debugging
- How to use the IDLE debugger
Session 6:How to work with lists and tuples
- Basic skills for working with lists
- How to work with a list of lists
- More skills for working with lists
- How to work with tuples
Session 7:How to work with file I/0
- An introduction to file I/O
- How to use text files
- How to use CSV files
- How to use binary files
Session 8:How to handle exceptions
- How to handle a single exception
- How to handle multiple exceptions
Session 9:How to work with numbers
- Basic skills for working with numbers
- How to format numbers
- How to work with decimal numbers
Session 10:How to work with strings
- Basic skills for working with strings
- How to split and join strings
Session 11:How to work with dates and times
- How to get started with dates and times
- More skills for working with dates and times
Python Programming Level 1: Introduction for Programmers
Session 13:Vital Python – Math, Strings, Conditionals, and Loops
- Vital Python
- Numbers: Operations, Types, and Variables
- To Open a Jupyter
- Notebook
- Python as a Calculator
- Standard Math Operations
- Basic Math Operations
- Order of Operations
- Spacing in Python
- Number Types: Integers and Floats
- Complex Number Types
- Errors in Python
Session 14:Variables
- Variable Assignment
- Changing Types
- Reassigning
- Variables in Terms of Themselves
- Variable Names
- Multiple Variables
- Comments
- Docstrings
- Theorem in Python
Session 15:Concatenation, Methods, and input()
- String Syntax
- Escape Sequences with Quotes
- Multi-Line Strings
- The print() Function
- String Operations and Concatenation
- String Interpolation
- Comma Separators
- Format
- The len() Function
- String Methods
- Casting
- The input() Function
- String Indexing and Slicing
- Indexing
- Slicing
Session 16:Strings and Their Methods
- Booleans and Conditionals
- Booleans
- Logical Operators
- Comparison Operators
- Comparing Strings
- Conditionals
- The if Syntax
- Indentation
- if-else
- The Elif Statement
- Loops
- The while Loops
- An Infinite Loop
break - Programs
- The for Loop
- The continue
- Keyword
Session 17:Python Structures
- The Power of Lists
- List Methods
- Accessing an Item from a List
- Adding an Item to a List
- Dictionary Keys and Values
- a List and a Dictionary
- Zipping and Unzipping
- Dictionaries Using zip()
- Dictionary Methods
- Tuples
- A Survey of Sets
- Set Operations
- Choosing Types
Session 18:Executing Python – Programs
- Algorithms, and Functions
- Introduction
- Python Scripts and Modules
- Shebangs in Ubuntu
- Docstrings
- Imports
- The if __name__ == “__main__”
- Statement
- Basic Functions
- Positional
- Arguments
- Keyword Arguments
- Iterative Functions
- Exiting Early
- Activity 10: The
- Fibonacci Function with an Iteration
- Helper Functions
- Don’t Repeat
- Yourself
- Variable Scope
- Variables
- Defining inside versus outside a
- Function
- The Global Keyword
- The Nonlocal Keyword
- Lambda Functions
- Mapping with Lambda Functions
- Filtering with Lambda Functions
- Sorting with Lambda Functions
Session 19:Extending Python, Files, Errors, and Graphs
- Reading Files
- Writing Files
- The Date and Time in a Text File
Python Programming Level 2: Advanced Programming
Session 20:Class Prerequisites
- Experience in the following is required for this Python class:
- Basic Python programming experience. In particular, you should be very comfortable with:
- Working with strings.
- Working with lists, tuples, and dictionaries.
- Loops and conditionals.
- Writing your own functions.
- Experience in the following would be useful for this Python class:
- Some exposure to HTML, XML, JSON, and SQL.
Session 21:Classes and Objects
- Defining Classes
- The __init__ method
- Keyword Arguments
Session 22:Methods
- Instance Methods
- Adding Arguments to Instance Methods
- The __str__ method
- Static Methods
- Class Methods
- Properties
- The Property
- Decorator
- The Setter Method
- Validation via the
- Setter Method
Session 23:Inheritance
- The DRY Principle Revisited
- Single Inheritance
- Sub-Classing Classes from Python
- Packages
- Overriding Methods
- Calling the Parent
- The method with super()
- Multiple Inheritance
- Method Resolution Order
Session 24:The Importance of the Standard Library
- High-Level Modules
- Lower-Level Modules
- Knowing How to Navigate in the Standard Library
- Dates and Times
- DateTime Objects
Session 25:Interacting with the OS
- OS Information
- Using pathlib
- Listing All Hidden Files in Your Home Directory
- Using the subprocess Module
Session 26:Collections
- Counters
- defaultdict
- ChainMap
Session 27:Becoming Pythonic
- Using List Comprehensions
- Set and Dictionary Comprehensions
- Comprehensions and Multiple Lists
- Default Dictionary
- Iterators
- Itertools
- One, and Back Again
- Generators
- Regular Expressions
Session 27:Software Development
- Debugging
- Automated Testing
- Test Categorization
- Test Coverage
- Writing Tests in Python with Unit Testing
- Writing a Test with pytest
Python Programming Level 3: Data Analysis , Machine Learning & Artificial Intelligence Using Python
Session 28:Introduction to Python for data analysis
- What data analysis is
- The Python skills that you need for data analysis
- How to use JupyterLab as your IDE
- How to split the screen between two Notebooks
- How to use Magic Commands
Session 29:The Pandas essentials for data analysis
- Introduction to the Pandas DataFrame
- How to examine the data
- How to access the columns and rows
- How to work with the data
- How to shape the data
- How to analyze the data
Session 30:The Pandas essentials for data visualization
- Introduction to data visualization
- How to create 8 types of plots
- How to enhance a plot
Session 31:The Seaborn essentials for data visualization
- Introduction to Seaborn
- How to enhance and save plots
- How to create relational plots
- How to create categorical plots
- How to create distribution plots
- Other techniques for enhancing a plot
Session 32:How to get the data
- How to find the data that you want to analyze
- How to import data into a DataFrame
- How to get database data into a DataFrame
- How to work with a Stata file
- How to work with a JSON file
Session 33:How to clean the data
- Introduction to data cleaning
- How to simplify the data
- How to find and fix missing values
- How to fix data type problems
- How find and fix outliers
Session 34:How to prepare the data
- How to add and modify columns
- How to apply functions and lambda expressions
- How to work with indexes
- How to combine DataFrames
- How to handle the SettingWithCopyWarning
Session 35:How to analyze the data
- How to create and plot long data
- How to group and aggregate the data
- How to create and use pivot tables
- How to work with bins
- More skills for data analysis
Session 36:How to analyze time-series data
- How to reindex time-series data
- How to resample time-series data
- How to work with rolling windows
- How to work with running totals
Session 37:How to make predictions with a linear regression model
- Introduction to predictive analysis
- How to find correlations between variables
- How to use Scikit-learn to work with a linear regression
- How to plot regression models with Seaborn
Session 38:How to make predictions with a multiple regression model
- A simple regression model for a Cars dataset
- How to work with a multiple regression model
- How to work with categorical variables
- How to improve a multiple regression model
Session 39:How to analyze time-series data
- How to reindex time-series data
- How to resample time-series data
- How to work with rolling windows
- How to work with running totals
Session 40:Machine Learning with Python
Machine Learning Tutorial
- Linear Regression
- Understanding Logistic Regression
- K means Clustering
- Python | Image Classification using keras
- creating a simple machine learning model
- Python | Implementation of Movie Recommender System
- ML | Boston Housing Kaggle Challenge with Linear Regression
- Cancer cell classification using Scikit-learn
- Saving a machine learning Model
- Applying Convolutional Neural Network on mnist dataset
- Python | NLP analysis of Restaurant reviews
- Learning Model Building in Scikit-learn
- Implementing Artificial Neural Network training process
- A single neuron neural network in Python
- Python | How and where to apply Feature Scaling?
- Identifying handwritten digits using Logistic Regression in PyTorch
Session 40:Django Framework
Django Tutorial
- Django Basics
- Django Introduction and Installation
- Django Forms
- Views In Django
- Django Models
- Django Templates
- ToDo webapp using Django
- Django News App
- Weather app using Django
Session 41:Python Collections
Counters
- OrderedDict
- Defaultdict
- ChainMap
- NamedTuple
- DeQue
- Heap
- Collections.UserDict
- Collections.UserList
- Collections.UserString
Session 42:Python GUI
Tkinter Tutorial
- Kivy Tutorial
- Python GUI – tkinter
- Simple GUI calculator using Tkinter
- Simple registration form using Tkinter
- Create a stopwatch using python
Session 43:Modules in Python
Introduction of Modules
- OS module
- Calendar Module
- Python Urllib Module
- pprint
- Timit function
- Import module
Session 44:Working With Database
MongoDB and Python
- SQL using Python | Set 1
- SQL using Python and SQLite | Set 2
- SQL using Python | Set 3 (Handling large data)
- Inserting variables to database table using Python
- MYSQLdb Connection in Python
- Database management in PostgreSQL
- Oracle Database Connection in Python
Session 45:Misc
10 Essential Python Tips And Tricks For Programmers
- Amazing hacks of Python
- Input method for competitive programming
- Optimization Tips for Python Code
- Why import star in Python is a bad idea
- Why is python best suited for Competitive Coding?
• Python tricks for Competitive Coding
Session 46:Recommended Python Tutorials
Python Tutorial
- Machine Learning Tutorial
- Django Tutorial
- Pandas Tutorial
- OpenCV Python Tutorial
- Selenium Python Tutorial
- Python Tkinter Tutorial
Session 47:Applications and Projects
Python | Program to crawl a web page and get the most frequent words
- Facebook login using python
- FB Chatting through python
- C/C++ code formating tool
- Find Live running status and PNR of any train using Railway API
- Fetching top news using News API
- Fetching text from Wikipedia’s Infobox in Python
- Get emotions of images using Microsoft emotion API in Python
- Website blocker
- Send SMS updates to mobile phone using python
- Python Desktop News Notifier in 20 lines
- Morse Code Translator In Python
- Performing Google Search using Python code
- Reading and generating QR code
- Birthday reminder application in python
- Program to display Astrological sign or Zodiac sign for a given date of birth
- Track bird migration
- News notifier
• WhatsApp using python
Experience and Inspiring Trainers:
Our trainers bring their years of industry experience during the course. They are experts and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.Real-time Practice and Projects :
Our Python Programming courses are comprehensive and practical. Moreover, we work on industry-related projects. If you have a project or an idea that you wanted to turn into the website then present that idea after completion of the course and our trainers especially will help you to work on your own website which helps you to become confident and satisfied.Prerequisites for Python Programming Course :
Before attending this course, it is recommended that students:
• Have basic computer navigation skills
• Prior programming experience is NOT necessary, but it can help to put these topics in perspectiveCertificate :
Finally completing this training you will receive a course completion certificate along with an internship in Python Programming Training so you can get recognition for your new skills.Course Material :
Softy Copy notes are briefly included in this courseSupport and Careers Advice :
In the end, our trainers are always ready to help you with any problems or questions regarding Python Programming. We prepare students for facing Interview questions on Python Programming and help them to build their online resumes. More than 90% of students are placed in good MNCs.“Our Student Success is Our Mission”.