How to Learn Python Programming from Beginners to Advance Level during Summer Internship?

Python, as a programming language, needs no introduction. Any individual who wishes to begin their journey in the tech field and become a develop has already done their share of research in this sector and we are certain that Python must have stood as the most wonderful one.

Since you are already here reading this blog, you must know the basics of Python already, so, we will jump straight to the wagon.

Learning Python

Learning Python is not a hefty task, especially if you have the right motivation and prior knowledge to begin with.

Usually, it takes somewhere between 2-6 months to be officially confident in the language and even less to start writing your own programs.

However, the libraries are vast and thus, it will take a long time for you to master them all.

If you are looking forward to getting a serious job in a top company, then you have to be a master. The deciding factors on your journey to learn Python include –

Prior experience
Dedication & zest to learn
Learning method and trainer

The Basics of Python

Before we ace at anything, we need to begin at the lowest point. Having a strong understanding of the basics of Python is an essential element to mastering the language in the time to come.

You need to dedicate yourself to learning, conceptualizing and incorporating the basics of the language to be able to be called an expert.

Learning Basic Python

All about Python

Origin
History
Scope, popularity, future of python
Achievements of Python
Mega Projects hosted in Python

Python Installation and Environment Setup

Flavours of python like Ipython, Cpython, PYPY etc
Development Environment &Requirements
Installation on windows
Installation on Linux
Installation on mac
IDE of Python IDLE, Jupyter, PyCharm, Vscode, vim

Writing first program in Python

Vim and command line creating first hello program in python
Vscode & PyCharm as IDE
Jupyter-Notebook and it’s features for fast, simple learning process

Syntax of Python

Python coding Style
Indentation
Comments in python
Keywords in python
Built-in functions in python

Data type and Data Structures

Numbers
Strings
List
Dictionary
Tuples
Sets
Frozen Sets
Type Casting

Control Statements

Flow diagrams
If – else
Nested if else

Looping in Python

For Loop
While Loop
Break
Continue
Else with loop

Functions in Python

Built-in Functions zip, enumerate, eval
exec, min, max, ord, chr, sorted, reversed
len, sum, power, divmod, etc.
Defining Custom Functions
Function Calling
Scope Resolution global, local, nonlocal scope
Code Reusability
Recursion

OOPS

Encapsulation
Abstraction
Data hiding
Data Security
Access Control
Inheritance
Polymorphism
Overriding
Operator Overloading
Classes
Objects
Implementing Data Structures using OOPs
Message Passing and Share Space in OOPs

Once your basics are clear, it becomes easier to move ahead towards the advanced level understanding of Python.

Python Programming from Beginners to Advance Level

When it comes to mastering Python, the outcome is highly subjective. Since learning is different for all, the is different too.

When we talk about mastering Python, it could take you a few months or a few years and there are too many factors contributing to the answer.

New tools and capabilities are always evolving in this technology that is being used across the globe by hundreds and thousands of developers.

Thus, getting to the point wherein you can claim to know it all does not come easy.

Learning Python can better be termed as an ongoing process.

Learning Advanced Python

Advance Functions in Python

Lambda anonymous function
Map & Reduce function
Filter function
Lazy Evaluation

Closures and Decorators in Python

Memorization using closures
Writing extensible functions using Decorators
Decorators to implement oops like functionality to functions

Advance OOPs

Name Mangling in OOPs
MRO (Method Resolution Order)
Meta Classes
Slots
Properties
Class methods
Static methods

Implementation of Data Structures in Python

Implementing Stack
Implementing Queue
Implementing Link-List

Generators & Iterators in Python

Memory Optimization Techniques
Lazy Evaluation
Custom Generators & Decorators
Zip like generator objects and their working

Exception Handling

Exceptions and Errors
Built in Exceptions
Handling Exceptions
else keyword with exception
finally, keyword to define Clean Up Actions
Custom Exception using raise keyword
Assertion Error, assert keyword for assertions
Creating Custom Exception Class

File Handling

Type of file formats and their significance
File Creation and writing data to files
Reading data from a file
Overwriting files
Dealing with excel sheets, csv files
Making data persistent to create real life projects

Data Serialization

Serialization and De-Serialization
Serializing python objects using pickle, json and shelve modules
Deserializing Object State to read data from byte file or from network
Storing Custom Objects to make state machines

Installing Third Party Modules in Python

Pip (Python Package Installer)
Installing packages and modules using pip
pypi (python package index) repository for package lookup
Offline installation of a package using pip

Database Connectivity

Concept of Data Base Management Systems
Using sqlite3 to store lite data in database like format
CRUD (Create, Read, Update, Delete) Operations
Data Base Connectivity in Python

Modules and Packages in Python

Module name space
If __name__ == “__main__” in Python
Defining Custom Modules
Creating Packages in Python
Testing Packages
Importing and using custom packages
Adding custom modules to library

Standard Library in Python

Os and Sys Module to interact with Operating System
Shutil Module to copy, paste and delete files
Subprocess Module to execute commands & their output
Zlib for data compression
Time & Datetime Module for time management

Graphical User Interface using Tk

GUI basics
Widgets like button, label, frame, canvas, radio buttons
Check Buttons, dropdown menus, scroll bars
Progress Bars, message box, text box, entry widget etc
Geometry Managers like place, grid, and pack
Dialog box, top level window implementation

Virtual Environment

What is Virtual Environment
Difference between Production and Development Environment
Package versions and their importance in projects
Creating a separate environment for Python Projects
Activating Virtual Environment
Installing Different Version of packages in different environments
txt file
README file

APIs

Application Programming Interfaces
Accessing Google place APIs
Accessing Facebook Graph API
Weather API & Others

GitHub

Self-Paced through video

Flask Web Framework of Python

Installation and Configuration of Flask
Hello World to web using Flask
Templates
Jinja2 Template Rendering (Include and Extending)
Handling GET and POST requests in Flask
Integrating HTML, CSS, Flask together
Web Forms
Cookies and Sessions in Flask
Database in Flask

Data Science & Machine Learning Overview

Data Science & Machine Learning Pipeline
Stats & Probability
Numpy, Pandas, Matplotlib
Machine Learning Implementation

Computer Vision

Image Processing
OpenCv Module
Face detection

Jobs Related to Python

Python is a leading name on the list of the top programming languages across the globe and being so highly popular entails having brilliant jobs on the array too.

A Python programming summer internship will open up doors that you never even knew existed.

Some of the top jobs related to Python are:

Python Developer
Backend Developer
Full Stack Developer
Data Engineer
Data Analyst
Data Scientist
Operations Automation Engineer
Machine Learning Engineer
Quality Assurance Engineer

The salary packages for each of these job profiles are good. Depending upon your experience and your expertise, the paychecks only get better with time.

Grras Solutions’ Python Programming Summer Internship

Grras Solutions is a leading name in the field of IT trainings and certifications. For the last 13 years, Grras Solutions has worked diligently to ensure students get the right kind of opportunities in the tech world via quality training and latest certifications.

Summer internships has been a part of Grras Solutions for a long time now.

This is one of the best ways of establishing one’s career path, especially keeping in mind how competitive the world today is.

If you are looking to learn Python Programming from beginners to advanced level during summer internship, then Grras Solutions will help you out.

Python Programming Features That Grras Solution Provides You

Certificate

You will get a Course Completion Certificate, an Internship Letter and a Red Hat Participation Certificate.

Learning & Projects

Your summer internship will entail learning by working on live projects to gain more real-world experience.

Training Experts

Every trainer at Grras Solutions that you learn under is an industry expert with the right experience and level of expertise.

Placement Assistance

Every student get 100% placement assistance after the completion of this Python programming summer internship program.

Interview Preparation & Resume Writing Skills

To stay updated with the changing trends and get the right opportunities towards a successful career, you will be provided interview preparation and resume writing skills in special sessions.

Updated Course

The central point of joining a summer internship program is to polish your skills and that can only be achieved via an updated course.

Optimum Duration

The duration for Python programming from beginners to advanced level during summer internship is 60 hours, optimum to help you learn and grow simultaneously.

Conclusion

The best way to spend your summer is by joining a summer internship program.

We hope this blog helped ease all your questions about how to learn Python programming from beginners to advanced level during summer internship.

By joining Grras Solutions today, you will be able to ace the field as you get to escalate your career from nil to a python expert in just a few hours