Name: Introduction To Python Development Course | Python Development Training - Henry Harvin in San Diego | Henry Harvin
Uploaded: 2021-10-08 13:23:43
Description: Python Development Course is Ranked number 1 amongst others to harness prowess in dynamic programming languages of the decade | Gain an explicit understanding of basic and advanced concepts of Python programming | Moreover, make yourself proficient in Machine Learning, Deep Learning, Hadoop streaming, and MapReduce

Module 1: Python Environment setup and Essentials
In this module, students will learn about Python Language, its features, about its installation, basics of Python command, how to deploy Python IDE, etc.
- Introduction to Python Language
- Features, the advantages of Python over other programming language
- Python installation- Windows, Mac & Linux distribution for Anaconda Python
- Deploying Python IDE
- Basic Python commands, data types, variables, keywords and more
- Quiz Module 1
Module 2: Python Language Basic Constructs
This module will teach students to write a python program, its function with and without parameters,learn to write for a Loop, how to use Lambda expressions, create member functions and variables, and more.
- Built-in data types in Python
- Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
- Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
- Loop and control statements while, for, if, break, else, continue
- Quiz Module 2
Module 3: OOP Concepts in Python
This module covers creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.
- How to write OOP concepts program in Python
- Connecting to a database
- Classes and objects in Python
- OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
- Python functions, return types and parameters
- Lambda expressions
- Quiz Module 3
Module 4: Database connection
This module covers Demo on Database Connection using python and pulling the data.
- Understanding the Database, need of database
- Installing MySQL on windows
- Understanding Database connection using Python
- Quiz Module 4
Module 5: NumPy for mathematical computing
In this module, students get to learn about - how to import the NumPy module, create an array using an ND-array, calculate standard deviation on an array of numbers & calculate correlation between two variables.
- Introduction to arrays and matrices
- Broadcasting of array math, indexing of array
- Standard deviation, conditional probability, correlation and covariance
- Quiz Module 5
Module 6: SciPy for scientific computing
This module will cover topics such as Importing SciPy & applying the Bayes theorem on the given dataset.
- Introduction to SciPy
- Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem
- Quiz Module 6
Module 7: Matplotlib for data visualization
In this module, students will learn how to Deploy MatPlotLib for creating Pie, Scatter, Line, Histogram.
- How to plot graph and chart with Python
- Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots
- Quiz Module 7
Module 8: Pandas for data analysis and machine learning
This module covers- working on importing data from JSON files, selecting records by a group, applying filters on top, viewing records, etc.
- Introduction to Python data frames
- Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
- Various data operations like selecting, filtering, sorting, viewing, joining, combining
- Quiz Module 8
Module 9: Exception Handling
In this module students will learn a demo on Exception Handling with an Industry-based Use Case.
- Introduction to Exception Handling
- Scenarios in Exception Handling with its execution
- Arithmetic exception
- RAISE of Exception
- What is Random List, running a Random list on Jupyter Notebook
- Value Error in Exception Handling
- Quiz Module 9
Module 10: Multi Threading & Race Condition
The module will teach students a demo on Starting a Thread and a Multithread and then perform multiple operations on them.
- Introduction to Thread, need of threads
- What are thread functions
- Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
- Creating a Multithread, finishing the multithreads.
- Understanding Race Condition, lock and Synchronization
- Quiz Module 10
Module 11: Packages and Function
This module covers a demo on Importing the modules and performing various operations on them using arithmetic functions & Importing various packages and accessing them and then performing different operations on them.
- Introduction to modules in Python, need of modules
- How to import modules in python
- Locating a module, namespace and scoping
- Arithmetic operations on Modules using a function
- Intro to Search path, Global and local functions, filter functions
- Python Packages, import in packages, various ways of accessing the packages
- Decorators, Pointer assignments, and Xldr
- Quiz Module 11
Module 12: Web Scraping with Python
This module covers, Installation of Beautiful soup and lxml Python parser, Making a soup object with input HTML file & Navigating using Py objects in soup tree.
- Introduction to web scraping in Python
- Installing of beautifulsoup
- Installing Python parser lxml
- Various web scraping libraries, beautifulsoup, Scrapy Python packages
- Creating soup object with input HTML
- Searching of tree, full or partial parsing, output print
- Quiz Module 12

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Curriculum For Python Development Course in San Diego

Module 1: Python Environment setup and Essentials

Module 2: Python Language Basic Constructs

Module 3: OOP Concepts in Python

Module 4: Database connection

Module 5: NumPy for mathematical computing

Module 6: SciPy for scientific computing

Module 7: Matplotlib for data visualization

Module 8: Pandas for data analysis and machine learning

Module 9: Exception Handling

Module 10: Multi Threading & Race Condition

Module 11: Packages and Function

Module 12: Web Scraping with Python

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