How to Learn Python? A Step-by-step Guide!

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If you ever want to learn any language, the first and foremost thing is to understand how you can learn. So here is a list of strategies that may help you to not only learn Python but even get your Python certification step by step. 

Make It Stick

Tip #1: Code Every Day

Consistency is the key to learning. It is essential to be consistent if you want to learn something new.  So, start by building a routine for your knowledge. 

Tip #2: Write It Out

Take notes of everything and jot it down. Notes help you to retain things in your memory for a longer time. It can be beneficial for those who want to become a full-time language developer.

Tip #3: Go Interactive!

Learning the basics of Python data structures (strings, lists, dictionaries, etc.) or wanting to debug an application? The interactive Python shell is one of the best learning tools. 

As you know how to begin the shell, below are a few examples of how to use the shell during learning:

“Learn about the operations to be performed on an element by using dir ():

>>>

>>> my_string = ‘I am a string’

>>> Dir (my_string)

[‘__add__’, …, ‘upper’, ‘zfill’]  # truncated for readability

The elements returned from dir () are all of the methods (i.e., actions) that you can apply to the elements.”

 For example:

>>>

>>> my_string.upper()

>>> ‘I AM A STRING’

Learn the type of an element:

>>>

>>> type(my_string)

>>> str

Use the built-in help system to get full documentation:

>>>

>>> help(str)

Import libraries and play with them:

>>>

>>> from datetime import datetime

>>> dir(datetime)

[‘__add__’, …, ‘weekday’, ‘year’]  # Truncated for readability

>>> datetime.now()

datetime.datetime(2018, 3, 14, 23, 44, 50, 851904)

Run shell commands:

>>>

>>> import os

>>> os.system(‘ls’)

python_hw1.py python_hw2.py README.txt

Tip #4: Take Breaks

Whenever you are learning, taking a break is very important if you want to absorb the concept and knowledge.  Even if you come across a problem and aren’t able to solve it, taking a break is what you need. It is where you can think about the solutions.

Make It Collaborative    

Tip #5: Surround yourself with other people who are learning:

 It is always good to be around with other people who are learning this boosts and eases your process of learning. You can also share tricks and tips this way, interact with people and can find more solutions to the problems. Even if you are unable to meet people physically you can also join local events or meet-ups like PythonistaCafe, which is a peer-to-peer learning community for Python enthusiasts. 

Tip #6: Teach

Some people say that teaching is a great method if you want to retain something in your memory. This will enhance your understanding and will increase your exposure to the language. 

Tip #7: Pair Program

It is the best technique for learning. Here, two developers keep on switching their roles as a ‘driver’ who writes the code and the ‘navigator’ who helps in problem-solving. 

Make Something    

Tip #8: Build Something, Anything

If you want to become a confident developer it then practice is a must. There are a lot of small practical exercises and practical coding sessions that you can undertake for a better learning experience.  So once you develop a solid grasp on basic data structures (strings, lists, dictionaries, sets), object-oriented programming, and writing classes, it’s time to make something!

HOW TO LEARN PYTHON STEP BY STEP    

Figure out what motivates you:  Before you begin anything it is important to define your interest and figure out that what motivates you. This not only helps in determining the goal but also helps in moving towards it step by step. So before you start learning the programming language ask yourself why do you want to learn it and for what? 

You can apply your knowledge of Python here:

•    Games

•    Websites

•    Mobile Applications

•    Machine Learning applications

•    Data Science

•    Development of scripts to automate work

•    Hardware/ Robots/ Sensor development

Learn the basic syntax: It is said that if you want to achieve a target start working towards it step by step. So the first step here in learning the language is understanding its syntax. The language is very clean, easy and includes shorter code length. 

Develop Structured projects: if you do not apply the knowledge you posses it is worthless. So once you are familiar with the language start working on different projects, keep on trying different assignments this will help you in understanding the concepts better. The beginners can always try to make their projects. It can be as simple as creating an automation script but it is important that you make it yourself. Amidst this understand the errors and learn from them.

Social coding: you can also start by contributing to online open-source projects if you want to understand how commercial and official programs are made. There are a few websites that offer you social coding which also helps in establishing your network which may further help you in your career as well.

Competitions: online competitions are an open and important source of learning. Hackathons are one of them. Here you learn how to obtain an optimum solution under a given set of constraints. These competitions also encourage you in thinking out-of-the-box in solving a problem.

LEARNING PYTHON FOR DATA SCIENCE

If you want to learn python programming for data science. These are the steps that you should follow:

Step 1:  Set up python on your system and download Anaconda, this will help in setting up your environment with the basic and necessary tools for programming. 

Step 2: Begin with learning Python as a programming language, usage of multiple libraries, tuples, lists, dictionaries and import/export of libraries. 

Step 3: If you want to prepare and correct the input data, data cleaning is an important step here. Text data is one such form of input data for which regular expressions are provided by Python.

Step 4: Try to create new projects with popular data science libraries like NumPy, SciPy, sci-kit-learn, matplotlib, etc. to better grasp their knowledge.

Step 5: visualizing the data is one of the important parts of the job for a data scientist and Python provides a perfect library – matplotlib for this task. 

Step 6: Python, assists you with several libraries which can help you in setting your ML model into which data can be injected. 

Step 7: Be it online projects or competitions, the only thing you need to become a pro developer is practice, practice, and practice.

Keep learning!

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