Register & enjoy the perks of a Universal College Application, Easy Process, Time-saving, and Free Contact details and Brochures.
Monthly Users
Monthly Applications
Admissions
No Result Found
Home > News & Articles > Tutorial Python: Basics, Beginner’s Tutorial Steps, Certification Courses, Advanced Python, Skills Covered, and Recommended Books
Updated on 16th August, 2023 , 7 min read
Python programming is a must have skill not only for these days but also for the days ahead. Simplicity and versatility are elements behind the popularity and demand for Python. It was first released in 1992 by Guido van Rossum, a Dutch computer programmer.
Python is a programming language focusing on readability and simplicity. Python's design is very easy to read and intuitive. Being an interpreted language, it allows code execution line by line without the need for separate compilation steps. Python is great for experimentation for developers as it supports interactive mode, which enables them to write code and execute it in an interactive shell. Python is an ideal choice for cross-platform development as it is available on various computer platforms like Windows, macOS, and Linux. The Python language is used in various fields such as machine learning, artificial intelligence, and web development.
Among the many programming languages to choose from, Python is one of the most popular choices for a beginner programmer to learn. This language is for both amateurs and expert programmers, to learn a new programming language. Python stands tall as a welcoming gateway into the world of programming. Python tends to be simpler and more versatile than other programming languages like C++, Rust, and Java. Learning Python can be enjoyable if done right with consistent practice and realistic goals. Many programs and software use Python to run, such as Instagram, Spotify, and Dropbox.
Learning Python has various aspects, such as follows-
Community-driven improvement and bug fixes
Cross-Platform Compatibility
Easy Language
High Demand in the Job market
Large Online community
Plethora of online learning resources
Solid foundation for programming
The following are some of the details of how one can install tutorial python in windows and macOS-
For Windows
Visit the official website to install Python - https://www.python.org/downloads/
Choose the latest version of Python and click Python.
Run the executable package and follow the prompts inside the installer to finish the installation.
Python comes installed in macOS out of the box.
To verify if Python is installed on your device, open Terminal and write -> python3 --version
One needs to install a code editor and Python interpreter on their computer device. Some code editors which are popular in the industry are as follows-
Jupyter Notebook
PyCharm
Visual Studio Code by Microsoft
To start your journey, one should be aware of several terms in Python programming, which are as follows-
The following table explains various operators of tutorial python-
Basic Operators | Details |
Arithmetic Operators | ‘+’ Addition ‘-' Subtraction ‘*’ Multiplication ‘/’ Division (returns a float) ‘//’ Floor Division (returns an integer) ‘%’ Modulus (returns the remainder of division) |
Assignment Operators | ‘=’ Assign ‘+=’ Add and assign ‘=’ Subtract and assign ‘*=’ Multiply and assign ‘/=’ Divide and assign ‘//=’ Floor divide and assign |
Comparison Operators | ‘==’ Equal to ‘!=’ Not equal to ‘<’ Less than ‘>’ Greater than ‘<=’ Less than or equal to ‘>=’ Greater than or equal to |
Logical Operators | ‘and’ Logical AND ‘or’ Logical OR ‘not’ Logical NOT |
Integer Variables (‘int), String Variables (‘str’), Boolean Variables (‘boo1), Floating-Point Variables (‘float’),Tuple Variables (‘tuple’)
The fundamental concepts you need to go through to cover the basics of python are as follows-
What is Python?
Why learn Python?
Python's popularity and applications.
Download and install Python on your computer.
Setting up a Python environment.
Writing your first "Hello, World!" Program.
Running Python scripts.
Understanding variables and their importance.
Different data types: integers, floats, strings, and booleans.
Arithmetic operators (+, -, *, /, %).
Comparison operators (==,!=, <, >, <=, >=).
Logical operators (and, or, not).
Conditional statements (if, else, elif).
Looping with, for, and while loops.
Using indentation in Python
Tuples: Immutable sequences.
Dictionaries: Key-value pairs.
Defining and calling functions.
Parameters and return values.
Scope and local variables.
Importing modules and using built-in functions.
Introduction to Python's standard library.
Reading and writing text files.
Managing file paths and directories.
Exception Handling:
The official documentation provided by Python on their website is a resource that every beginner should look up to. It provides comprehensive and authoritative information about the features, libraries, and modules that can be very informative. The documentation showcases a large list of built-in functions and modules that Python has to offer. If one wants to improve performance and manage the memory of their code better, then Python Documentation has got them covered. It includes tips and tricks to improve the quality of your coding experience.
Reading Python books can be a great way to come across new information and practice it. Python books are written in a way to create a structured learning experience for the reader. These are the following recommended Python books:
"Python Crash Course" by Eric Matthes
"Automate the Boring Stuff with Python" by Al Sweigart
"Head First Python" by Paul Barry
Certification courses provide structures and comprehensive learning experiences that can help you boost your skillset. Boost your confidence in Python and enhance your employability. Instructors on the platform of the course provide a section where you can submit feedback about your experience, and they can do the same for you based on your assignments and projects. Certificate courses focus on practical skills that are in high demand in the industry. You will get access to a lot of resources, such as e-books and practice exercises.
When seeking internships, jobs, or freelance opportunities, certificates will showcase your proficiency in the Python language.
Communities like Stack Overflow, Reddit - r/learnpython, Python Forum are the gateways for accessing the immense pool of knowledge. Individuals with different levels of experience can provide tips and tricks, things to look out for, and solutions to the problems programmers might be facing while programming.
Whenever you get stuck over a problem or question while learning Python, online communities can be a lifesaver. You can ask your questions and solve your doubts with the help and guidance from users across the world.
Not only can you learn from the answers you receive, but from others too. Browsing through the forums can give you insight and ideas about your next project and learn efficient techniques shared by other users. Engaging with users with like-minded programmers can help you develop a strong network which can lead to collaborations on projects.
For staying relevant in this competitive industry, you need to keep your eye on industry trends.
You can follow professional Python developers and experts on LinkedIn, GitHub, and Twitter (also known as X.). These individuals share their insights and updates about industry trends and job prospects.
Subscribing to news letters from tech websites can deliver the latest information in the world of Python programming directly to your inbox.
Reading tech blogs that focus on your preferred field of programming like web development, UI/UX Development, etc, can develop your interest further into the field and keep you up to date with the industry news and trends.
Another great source for stating updates is the GitHub trending section. There you can discover trending repositories of Python programmers, which can provide you idea of what other programmers are working on.
Given below are the wide range of skils one must go through to excel in Python programming-
Loops (for, while)
Lists, tuples, and dictionaries
Conditional statements (if, elif, else)
Functions
Operators
Object-oriented programming (classes, objects, inheritance)
Modules and packages
File handling
Regular expressions
Threading and multiprocessing
Web scraping with libraries like BeautifulSoup and requests
Database interactions (MySQL)
Decorators and generators
Routing and views
Flask or Django framework
NumPy, pandas, and Matplotlib for data manipulation and visualization
Statistical analysis and hypothesis testing
Working with data formats (CSV, JSON, Excel)
Model training, evaluation, and hyperparameter tuning
Introduction to neural networks and deep learning (using libraries like PyTorch)
Using libraries like requests for API interactions
Parsing JSON/XML responses
Creating scripts to automate tasks (file manipulation, data processing)
Working with third-party APIs for automation
Building your own portfolio is a great way to showcase your programming skills to the employers and clients you might want to work with.
The best way to start building your portfolio is to start small. And choose a project to work on that aligns with your interests. Creating solutions to the problems you face everyday will make your portfolio more meaningful. Contributing to Open Source projects like OpenCV, Monero, and Jenkins can demonstrate your collaborative skills towards the programming community.
Creating your own website can not only demonstrate your web development skills but also serve as a unit to showcase your projects. This can leave a good impression about your creativity on employers.
Create a variety of projects and showcase them in your portfolio so that you can demonstrate your versatility and adaptability towards different domains like Web Development, Data Analysis , and Game Development.
Personalize your portfolio with your personality and style, and creating a presentation or demo video of the projects you have completed can enhance your portfolio’s quality and make the portfolio look more presentable.
Practicing and being consistent with Python can have a great impact on your programming knowledge and you will be able to complete large projects at a good pace.
Regular practice hones your programming skills, providing you with the ability to write error-free code. With consistent programming practice, your confidence level will grow exponentially. Confidence is very important when you get challenged by critical problems and challenges.
You will be exposed to a lot of bugs and errors in your code, but will consistent practice you will become more efficient at troubleshooting and debugging your code. This can also help you to stand out in the job market and advance your career.
Python’s demand in various fields is due to its simple and versatile design language and use cases. Its easy to use syntax is very suitable not only for beginners but also for experts. Python’s availability across different platforms is an important factor in its demand in the industry and its application in various softwares. For learning Python, it supports rapid code development and interactive mode for developers to experiment.
Acing in Python programming is not a very hard thing to accomplish if done right. With the right strategy in mind, consistent execution, and learning from quality resources, your journey towards becoming a Python expert can be a fun one.
Was this Article Helpful/Relevant or did you get what you were looking for ?
👍 1,234
👎234
D Pharmacy: Admission 2024, Subjects, Colleges, Eligibility, Fees, Jobs, Salary
By - Nikita Parmar 2023-11-04 08:11:48 , 7 min readHow to Become a Pilot after 12th: In India, Courses, Exams, Fees, Salary 2023
By - Nikita Parmar 2023-08-25 09:48:44 , 11 min readAns. Teaching yourself Python can be a rewarding journey. You can learn Python by setting clear goals and learning from various online sources like Coursera, edX, and Udemy. Not rushing towards advanced Python programming and learning through a systematic learning pattern can be fruitful.
Ans. Python tutorials are a learning resource created for aspiring developers and programmers. Python Tutorial is designed is a way that can not only help amateur programmers but also professionals. Python tutorial covers all the fundamentals required for becoming an expert in Python programming.
Ans. Setting clear goals, focused learning habits, and regular practice can help you learn Python faster in an effective way.
Ans. Python is a very popular programming language, used in areas such as Web Development, Data Analysis, Machine Learning and Internet of Things (IoT).
Ans. Basic Python skills are very crucial in learning the language. Some basic skills include understanding syntax, variables and data types, and basic operators and functions.
communication@collegesearch.in
+91 84482 99862 
Download Brochure
