Tutorial Playlist

Python Tutorial for Beginners

Overview

How to Install Python on Windows?

Lesson - 1

Python OOPs Concept: Here's What You Need to Know

Lesson - 2

Getting Started With Jupyter Network

Lesson - 3

PyCharm Tutorial: Getting Started with PyCharm

Lesson - 4

A Beginner’s Guide To Python Variables

Lesson - 5

Python Numbers: Integers, Floats, Complex Numbers

Lesson - 6

Learn A to Z About Python Functions

Lesson - 7

The Basics of Python Loops

Lesson - 8

Introduction to Python While Loop

Lesson - 9

Python For Loops Explained With Examples

Lesson - 10

Understanding Python If-Else Statement

Lesson - 11

Introduction to Python Strings

Lesson - 12

Everything You Need to Know About Python Slicing

Lesson - 13

All You Need To Know About Python List

Lesson - 14

Python Regular Expression (RegEX)

Lesson - 15

An Introduction to Python Threading

Lesson - 16

Objects and Classes in Python: Create, Modify and Delete

Lesson - 17

The Best Python Pandas Tutorial

Lesson - 18

A Beginner's Guide To Web Scraping With Python

Lesson - 19

A Handy Guide to Python Tuples

Lesson - 20

How to Easily Implement Python Sets and Dictionaries

Lesson - 21

Everything You Need to Know About Python Arrays

Lesson - 22

An Introduction to Matplotlib for Beginners

Lesson - 23

An Introduction to Scikit-Learn: Machine Learning in Python

Lesson - 24

Top 10 Python IDEs in 2020: Choosing The Best One

Lesson - 25

The Best NumPy Tutorial for Beginners

Lesson - 26

Python Django Tutorial: The Best Guide on Django Framework

Lesson - 27

Top 10 Reason Why You Should Learn Python

Lesson - 28

The Best Ideas for Python Automation Projects

Lesson - 29

Top 50 Python Interview Questions and Answers in 2020

Lesson - 30

12 Tips On How To Become a Python Developer

Lesson - 31

10 Cool Python Project Ideas For Beginners in 2021

Lesson - 32

The Best Tips for Learning Python

Lesson - 33
The Best Tips for Learning Python

Python is a popular, interactive, interpreted, advanced, and object-oriented scripting language. Designed to be highly readable, Python often uses English keywords as opposed to the use of punctuation by other similar languages. It also has fewer syntactic constructions, when compared with other scripting languages.

Python programming language is extensively used in web development, game development, data analytics, and machine learning. In this article on ‘The Best Tips for Learning Python,’ you will learn about Python in the right way. We will also discuss the tips that you should follow while learning it. In this article, we will go through the following topics:

  • Why Python?
  • Tips for Learning Python:
    • Cover Python Fundamentals
    • Establish a Goal for your Study
    • Learn Relevant Python Libraries
    • Do Projects Based on Whatever you Learn
    • Consistency is Important
  • Industry Trends

Data Science with Python

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Data Science with Python

Why Python?

Let’s first go through a few pointers that help establish that Python is so immensely popular in the tech industry.

Python is Easy to Learn

It requires considerably lesser resources and time for a beginner to learn and start implementing Python when compared with programming languages like Java or C++.

Python is Cross-Platform

Cross-platform or platform-independent is a programming language feature that allows a developer to run intermediate code on different OS.

Python Has Hundreds of Libraries

Python’s library collection is enormous and allows developers to use pre-written code, saving time when developing a new program. 

Python Has Excellent Community Support

Python comes with an abundance of documentation and support material for troubleshooting and learning. A Python developer not able to crack a piece of code needn’t be very concerned and can easily find documentation, guides, and video tutorials to help them move forward, unlike many other programming languages.

Python Supports Scalable Development

If a Python developer is stuck on a piece of code, they shouldn’t find it difficult to get relevant support. From the documentation, guides, and video tutorials, Python community provides plenty of assistance, unlike some of the other languages out there today.

Tips for Learning Python

Now that you are familiar with Python, let’s discuss all the tips you need to learn Python the right way.

Cover Python Fundamentals

At a bare minimum, you must cover the Python fundamentals. You can quickly work through complex Python problems, projects, or use cases if you understand the fundamentals. Some important fundamentals are as follows:

  • Variables and Types
  • Lists, Dictionaries, and Sets
  • Basic Operators
  • String Formatting
  • Basic String Operations
  • Conditions
  • Loops
  • Functions
  • List Comprehensions
  • Classes and Objects

Establish a Goal for Your Study

After covering all the fundamentals, you should establish a goal for your study.

  • Before you start learning Python, establish a goal for your study.
  • You’ll know what learning material to focus on or skim through as it pertains to your goals.
  • For example, if you are interested in becoming a machine learning engineer, you should refer to only that relevant material.

Several tech industries use Python for development:

Machine Learning and AI

Machine learning and AI have been perhaps the most sought-after field of technology lately. Python is the default language for machine learning.

Web Development

Python is extensively used for the backend development of any web application.

Game Development

Python also has the capabilities for game development. So if you are into that, learning Python is still an option.

Internet of Things

Internet of Things is a comparatively new field, but it has become largely popular recently, and we also use Python in this field of technology.

Learn Relevant Python Libraries

Once you’ve established your goal, you should also look at the relevant python libraries that help you reach your goal.

  • There are hundreds of libraries that are used by Python developers in different domains.
  • These libraries make your life easier since they reduce manual workload and wrap code for specialized tasks.
  • There are many popular libraries out there; for example, Django for web development, Pandas for data analysis, etc.

Some of the most popular Python libraries are:

  • TensorFlow for Machine Learning
  • Flask for Web Development
  • Scrapy for Web Scraping
  • Pygame for Game Development

Do Projects Based on Whatever you Learn

After doing the above, now you are ready to make and work on python projects on your own.

  • It is crucial to apply what you learn while learning each Python concept.
  • Doing projects as you progress is highly recommended since it will make you a good coder and expand your portfolio.
  • Don’t expect to make industry-standard projects from the start, but improve upon them as you learn more.

Some of the exciting ideas that you can base your projects on are:

  • Number Guessing
  • Web Scraper
  • Calculator
  • Searching and Sorting
  • Tic - Tac - Toe

Consistency is Important

Consistency is really important, no matter what you learn or do.

  • It is not realistic for anyone to expect to become a developer within a week.
  • Except, be consistent, and work towards short-term goals and reach those goals within a set timeframe.
  • Remember, two hours daily for a month are always going to be more productive than cramming everything within a week.

Industry Trends

Let’s look at the Python industry trends, and ultimately at the scope of a python developer.

pypl

Source: PYPL

  • In recent years, Python has witnessed tremendous growth in demand and is showing no signs of slowing down.
  • PYPL, the popular programming language ranking website ranked Python as the number one programming language with a substantial spike in popularity in 2019 and 2020.

octaverse

Source: Octaverse

Also, Python has surpassed Java and become the 2nd most popular language according to GitHub repository contributions.

  • Machine Learning is probably the most popular field in the tech industry right now.
  • Python, because of its variety of libraries, is the preferred language for performing machine learning tasks.
  • Libraries like NumPy, Pandas, TensorFlow are widely used in machine learning and artificial intelligence.

So if you are into machine learning, and artificial intelligence, Python should be the one you choose.

Software engineers with Python skills are offered better salaries across the globe.

  • The average Python developer salary in India is ₹755,497.

salary-python-tips

Source: PayScale

  • The average Python developer salary in the US is $79,395.

average-python

Source: PayScale

There you go! We hope you enjoyed the article ‘The Best Tips for Learning Python’ and are now motivated enough to start your learning journey. Be ready to keep working on getting better at Python and landing the job of your dreams.

Looking forward to making a move to the programming field? Take up the Python Training Course and begin your career as a professional Python programmer

Get Ahead of the Curve and Become a Python Developer Today

If you are looking for the most effective way to this tech industry of web development, a great way to start would be to enroll in the comprehensive Python Training Course. With this course, you will gain all the practical and work-ready skills you’d need to be employable and grab the best opportunities for you in the field. For additional information you might need before enrolling in a program, feel free to take a look at our YouTube video on the same topic, that provides a quick and clear introduction into the world of coding or programming.

We hope this article on ‘The Best Tips for Learning Python’ was helpful for you. Do you have any specific questions for us? Mention them in this article's comments section, and we'll have our experts answer them for you at the earliest!

About the Author

Taha SufiyanTaha Sufiyan

Taha is a Research Analyst at Simplilearn. He is passionate about building great user interfaces and keeps himself updated on the world of Artificial Intelligence. Taha is also interested in gaming and photography.

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