Introduction to Python Language
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Course Content
Python Environment Setup and Essentials
(5 Lectures)
Features, the advantages of Python over other programming languages
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Python installation – Windows, Mac & Linux distribution for Anaconda Python
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Deploying Python IDE
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Basic Python commands, data types, variables, keywords and more
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Python language Basic Constructs
(4 Lectures)
Built-in data types in Python
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Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
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Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
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Loop and control statements while, for, if, break, else, continue.
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OOP concepts in Python
(6 Lectures)
How to write OOP concepts program in Python
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Connecting to a database
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Classes and objects in Python
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OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
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Python functions, return types and parameters
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Lambda expressions
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Database connection
(3 Lectures)
Understanding the Database, need of database
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Installing MySQL on windows
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Understanding Database connection using Python.
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NumPy for mathematical computing
(3 Lectures)
Introduction to arrays and matrices
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Broadcasting of array math, indexing of array
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Standard deviation, conditional probability, correlation and covariance.
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SciPy for scientific computing
(2 Lectures)
Introduction to SciPy
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Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.
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Matplotlib for data visualization
(2 Lectures)
How to plot graph and chart with Python
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Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
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Pandas for data analysis and machine learning
(3 Lectures)
Introduction to Python dataframes
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Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
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Various data operations like selecting, filtering, sorting, viewing, joining, combining
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Exception Handling
(6 Lectures)
Introduction to Exception Handling
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Scenarios in Exception Handling with its execution
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Arithmetic exception
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RAISE of Exception
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What is Random List, running a Random list on Jupyter Notebook
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Value Error in Exception Handling.
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Multi Threading & Race Condition
(5 Lectures)
Introduction to Thread, need of threads
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What are thread functions
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Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
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Creating a Multithread, finishing the multithreads.
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Understanding Race Condition, lock and Synchronization.
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Packages and Functions
(7 Lectures)
Intro to modules in Python, need of modules
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How to import modules in python
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Locating a module, namespace and scoping
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Arithmetic operations on Modules using a function
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Intro to Search path, Global and local functions, filter functions
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Python Packages, import in packages, various ways of accessing the packages
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Decorators, Pointer assignments, and Xldr.
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Web scraping with Python
(6 Lectures)
Introduction to web scraping in Python
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Installing of beautifulsoup
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Installing Python parser lxml
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Various web scraping libraries, beautifulsoup, Scrapy Python packages
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Creating soup object with input HTML
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Searching of tree, full or partial parsing, output print
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Course Details
This Python training will give you hands-on experience in mastering the one of the best programming languages that is Python. In this online Python course you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming and also Python packages like Scikit and Scipy.
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.
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Training Options
Self-paced Training
200
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- 3 simulation test papers for self-assessment
- Lab access to practice live during sessions
- 24x7 learner assistance and support
Live Virtual Classes
299
- Online Classroom Flexi-Pass
- Lifetime access
- Practice lab and projects
One on One Training
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- Customized learning delivery model (self-paced and/or instructor-led)
- Flexible pricing options
- Enterprise grade learning management system (LMS)
- Enterprise dashboards for individuals and teams
- 24x7 learner assistance and support
Exam & Certification
Duration: 65 minutes (exam) + 10 minutes (Non-Disclosure Agreement/Tutorial)
Number of Questions: 40
Format: Single-choice and multiple-choice questions
Passing Score: 70%
Language: English
Frequently Asked Questions
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- Software Developers and ETL Professionals
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- Big Data Professionals
- Those who wish to have a career in Python
You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help you.
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