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Python Training Course Online in Python Training Course Online in Toronto
Flexible Schedule
50 Hrs Project Work & Exercises
42 Hrs Instructor Led online Training
24 Hrs Self-paced Videos
24X7 Support
Certification and Job Assistance
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Overview
- Python basics and benefits
- Working with Python functions and operations
- Writing user-defined functions with Python
- Writing Python codes with ease and speed
- User-friendly data structures in Python
- Integration features of Python
- BI Managers and Project Managers
- Software Developers and ETL Professionals
- Analytics Professionals
- Big Data Professionals
- Those who wish to have a career in Python
What are the prerequisites for taking this Python Course in Python Training Course Online in Toronto?
- Python’s design and libraries provide 10 times productivity compared to C, C++ or Java
- A Senior Python Developer in the United States can earn $102,000 – indeed.com
Python is a very powerful object-oriented language that is extremely scalable and highly efficient. It can run on multiple platforms and systems making it highly versatile. ZebLearn is offering the definitive training in Python that can help you Fast-track your career and take it to the next level.
What you will gain?
- 1 to 1 Live Online Training
- Dedicated 24 x 7 Support
- Flexible Class Timing
- Training Completion Certification
- Direct Access to the Trainer
- Lifetime Access of an LMS
- Real-time Projects
- Dedicated Placement Support
Fees
Self Paced Training
12,995
Online Live One to One Training
20,702
Python Course Content
- 1.1 Introduction to Python Language
- 1.2 Features, the advantages of Python over other programming languages
- 1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python
- 1.4 Deploying Python IDE
- 1.5 Basic Python commands, data types, variables, keywords and more
Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.
- 2.1 Built-in data types in Python
- 2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
- 2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
- 2.4 Loop and control statements while, for, if, break, else, continue.
Hands-on Exercise –
- 1. Write your first Python program
- 2. Write a Python Function (with and without parameters)
- 3. Use Lambda expression
- 4. Write a class
- 5. Create a member function and a variable
- 6. create an object
- 7. Write a for loop
- 3.1 How to write OOP concepts program in Python
- 3.2 Connecting to a database
- 3.3 Classes and objects in Python
- 3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
- 3.5 Python functions, return types and parameters
- 3.6 Lambda expressions
Hands-on Exercise –
1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS
- 4.1 Understanding the Database, need of database
- 4.2 Installing MySQL on windows
- 4.3 Understanding Database connection using Python.
Hands-on Exercise – Demo on Database Connection using python and pulling the data.
- 5.1 Introduction to arrays and matrices
- 5.2 Broadcasting of array math, indexing of array
- 5.3 Standard deviation, conditional probability, correlation and covariance.
Hands-on Exercise –
- 1. How to import NumPy module
- 2. Creating array using ND-array
- 3. Calculating standard deviation on array of numbers
- 4. Calculating correlation between two variables.
- 6.1 Introduction to SciPy
- 6.2 Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.
Hands-on Exercise –
- 1. Importing of SciPy
- 2. Applying the Bayes theorem on the given dataset.
- 7.1 How to plot graph and chart with Python
- 7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
Hands-on Exercise –
1. Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram.
- 8.1 Introduction to Python dataframes
- 8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
- 8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining
Hands-on Exercise –
- 1. Working on importing data from JSON files
- 2. Selecting record by a group
- 3. Applying filter on top, viewing records
- 9.1 Introduction to Exception Handling
- 9.2 Scenarios in Exception Handling with its execution
- 9.3 Arithmetic exception
- 9.4 RAISE of Exception
- 9.5 What is Random List, running a Random list on Jupyter Notebook
- 9.6 Value Error in Exception Handling.
Hands-on Exercise –
1. Demo on Exception Handling with an Industry-based Use Case.
- 10.1 Introduction to Thread, need of threads
- 10.2 What are thread functions
- 10.3 Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
- 10.4 Creating a Multithread, finishing the multithreads.
- 10.5 Understanding Race Condition, lock and Synchronization.
Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then perform multiple operations on them.
- 11.1 Intro to modules in Python, need of modules
- 11.2 How to import modules in python
- 11.3 Locating a module, namespace and scoping
- 11.4 Arithmetic operations on Modules using a function
- 11.5 Intro to Search path, Global and local functions, filter functions
- 11.6 Python Packages, import in packages, various ways of accessing the packages
- 11.7 Decorators, Pointer assignments, and Xldr.
Hands-on Exercise –
- 1. Demo on Importing the modules and performing various operation on them using arithmetic functions
- 2. Importing various packages and accessing them and then performing different operations on them.
- 12.1 Introduction to web scraping in Python
- 12.2 Installing of beautifulsoup
- 12.3 Installing Python parser lxml
- 12.4 Various web scraping libraries, beautifulsoup, Scrapy Python packages
- 12.5 Creating soup object with input HTML
- 12.6 Searching of tree, full or partial parsing, output print
Hands-on Exercise –
- 1. Installation of Beautiful soup and lxml Python parser
- 2. Making a soup object with input HTML file
- 3. Navigating using Py objects in soup tree.
Benefits of Online Training
- 100% Satisfaction Ratio
- Dedicated Help In Global Examination
- Updated Syllabus & On-Demand Doubt Session
- Special Group & Corporate Discounts
Python Certification Course FAQs
As part of this online Python course you will be working on real time Python projects that have high relevance in the corporate world, step-by-step assignments and curriculum designed by industry experts. Upon completion of the Python online course you can apply for some of the best jobs in top MNCs around the world at top salaries. ZebLearn offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment for a hands-on Python online course.
You would be glad to know that you can contact ZebLearn support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Job Opportunities
Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.
– Peter Norvig, director of search quality at Google Inc
Python is fast enough for our site and allows us to produce maintainable features in record times
– Cuong Do (Software Architect-Youtube)
Placement Partner