Core Python Training Modules

In this module, we’ve covered fundamental and advanced concepts of the core Python Programming Language. Our certificate course in Core Python lets you master the fundamentals, Data structures dictionaries & sets and gives you hands-on practical experience with a functional application of Python.

• Python Introduction
• Introduction to Python Programming
• Installation of Python & Associated Packages
• Graphical User Interface
• Installation of Anaconda Python
• Setting Up Python Environment
• Data Types
• Operators in Python | Arithmetic | Relational | Logical | Assignment | Bitwise | Membership | Identity
• Data structures | Vectors | Matrix | Arrays | Lists | Tuple | Sets | String Representation | Arithmetic Operators | Boolean Values | Dictionary
• Conditional Statements | if statement | if - else statement | if - elif statement | Nest if-else | Multiple if | Switch
• Loops | While loop | For loop | Range() | Iterator and generator Introduction | For – else | Break
• Functions | Purpose of a function | Defining a function | Calling a function
• Function parameter passing | Formal, Actual, Positional, Keyword, Variable arguments and Variable keyword arguments
• Use-Case *args, **kwargs
• Function call stack - Locals() & Globals()
• Stackframe
• Modules
• Python Code Files
• Importing functions from another file
• __name__: Preventing unwanted code execution
• Importing from a folder
• Folders Vs Packages
• __init__.py
• Namespace
• Recursive imports
• File Handling
• Exception Handling
• Regular expressions
• Oops concepts
• Classes and Objects
• Inheritance and Polymorphism
• Multi-Threading
• Python Data Structures, Dictionaries & Sets
• List Comprehensions - List comprehension | Dictionary comprehension | Enumerate | Zip and unzip
• Generator Expressions
• Tuples – Nested, Names, Unpacking
• Splitting – Slicing Objects, Ellipsis
• Augmented Assignments with Sequences
• Build-in Sort Functions
• Ordered Sequences with Bisect
• Arrays, Memory Views, Deques
• Handling Missing Keys
• Set Theory, Variations, Operations
• Higher-Order Functions
• Function Annotations
• Functional Programming Packages | Procedural vs Functional | Pure functions | Map() | Reduce() | Filter() | Lambdas
• Loop vs Comprehension vs Map
• Identify, Equality & References
• MySQL db Module
• INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations on SQL using Python
• Python Packages for Analysing the Data
• Python Packages
• Pandas – Series, Dataframes
• Numpy – Arrays, Memory, Matrices, Broadcasting, Masked Arrays
• Scipy
• Matplotlib
• Seaborn
• Sklearn (Scikit Learn)
• Statsmodels
• Jupyter Notebooks, IPython Notebooks
• Data Collection using CSV, JSON, XML, HTML & Scrapping
• Data Wrangling | Understanding | Filtering | Typecasting | Transformations & Normalization | Imputation | Handling Duplicates & Categorical Data
• Data Summarization
• Data Visualizations using Python Packages
• Line Chart | Bar Chart | Histogram | Pie Charts | Box Plots | Scatter Plots | Figures & Subplots | Additional Visualization Packages – bokeh, ggplot, plotly
• Python XML and JSON parsers
• Basic Images Processing using Python OpenCV
• Advance Python Programming
• Dates and Times
• Binary Data
• Pythonic Programming
• Exception Handling
• Purpose of Exception Handling
• Try block | Except block | Else block | Finally block | Built-in exceptions | Order of ‘except’ statements
• Exception - mother of all exceptions
• Writing Custom exceptions
• Stack Unwinding
• Enhancing Classes
• Metaprogramming
• Developer Tools
• Unit Testing with PyTest
• Multi-Threading
• Program Memory Layout
• Concurrency
• Parallelism
• Process
• Thread of execution
• Creating a thread
• Joining a thread
• Critical section
• Locks
• PyQt
• Network Programming
• Scripting for System Administration
• Serializing
• Advanced-Data Handling
• Implementing Concurrency | Asynchronous programming | The asyncio framework | Reactive programming
• Parallel Processing | Introduction to parallel programming | Using multiple processes | Parallel Cython with OpenMP | Automatic parallelism
• Introduction to Concurrent and Parallel Programming
• Technical requirements
• What is concurrency?
• Not everything should be made concurrent
• The history, present, and future of concurrency
• A brief overview of mastering concurrency in Python
• Setting up your Python environment
• Django with REST Webservices
• Client-Server architecture
• Web Application
• Web framework
• Installing Django modules
• Creating first basic Django
• Creating Model classes
• Django Template tags and template programming
• Django rest framework
• Understanding REST Architecture
• HTTP GET, POST
• JSON serialization
• Writing REST API
• Advance Python Programming: Web Extraction and Serialization
• Web Extraction
• Beautiful Soup
• Selenium
• Serialization pickling, XML & JSON
• Introduction to Serialization
• Structure and Container
• Pickle Module
• pickling built-in data structures
• byte strings
• binary
• xml parsing and construction - xml
• json parsing and construction - json, simplejson
• Logging
• Purpose of logging
• Logging levels
• Types of logging
• Logging format
• Logging Handlers
• Disadvantages of excessive logging
• Custom loggers

Certificate

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