{"id":1384,"date":"2020-06-06T07:43:06","date_gmt":"2020-06-06T07:43:06","guid":{"rendered":"https:\/\/www.ynorme.com\/blog\/?p=1384"},"modified":"2020-06-06T07:53:16","modified_gmt":"2020-06-06T07:53:16","slug":"before-you-start-python","status":"publish","type":"post","link":"https:\/\/www.ynorme.com\/blog\/before-you-start-python\/","title":{"rendered":"Before You Start Python!"},"content":{"rendered":"\n

If\nyou have decided to start of learning Python! One of the most common questions\nfrom everyone is \u201cWhat\u2019s the best way to learn Python?\u201d<\/em><\/p>\n\n\n\n

I\nbelieve that before you starting any programming language, first sure that you understand how<\/em> to\nlearn the most critical skill involved in computer programming.<\/p>\n\n\n\n

Why\nis knowing how to learn any programming language so important? The answer is so\nsimple: because the languages evolve, libraries are created, and tools are upgraded.\nLearning will be important to keeping up with these changes and becoming a\nsuccessful programmer.<\/p>\n\n\n\n

 This article offer several learning strategies\nthat will help you to start your journey of becoming a Python programmer!<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #1: Code Everyday<\/h6>\n\n\n\n

Consistency is very important when you are\nlearning a new language. We recommend making a commitment to code every day. It\nmay be hard to believe, but muscle memory plays a large part in programming.\nCommitting to coding everyday will really help develop that muscle memory.\nThough it may seem daunting at first, consider starting small with 25 minutes every\nday and working your way up from there.<\/p>\n\n\n\n

Tip #2: Write It Out<\/strong><\/h6>\n\n\n\n

As you\nprogress on your journey as a new programmer, you may wonder if you should be\ntaking notes. Yes, you should! In fact, research suggests that taking notes by\nhand is most beneficial for long-term retention. This will be especially\nbeneficial for those working towards the goal of becoming a full-time\ndeveloper, as many interviews will involve writing code on a whiteboard.<\/p>\n\n\n\n

Once you\nstart working on small projects and programs, writing by hand can also help you\nplan your code before you move to the computer. You can save a lot of time if\nyou write out which functions and classes you will need, as well as how they\nwill interact.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #3: Go Interactive!<\/h6>\n\n\n\n

Whether you are learning about basic Python\ndata structures. For the first time, or you are debugging an application, the\ninteractive Python shell will be one of your best learning tools. <\/p>\n\n\n\n

To use the interactive Python shell also called\na Python REPL , first make sure Python is installed on your computer. .<\/code><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #4: Take Breaks<\/h6>\n\n\n\n

When you are learning, it is important to step away and absorb the concepts. This\u00a0method can help: you work for 25 minutes, take a short break, and then repeat the process. Taking breaks is critical to having an effective study session, particularly when you are taking in a lot of new information.<\/p>\n\n\n\n

Breaks are especially important when you are\ndebugging. If you hit a bug and can\u2019t quite figure out what is going wrong,\ntake a break. Step away from your computer, go for a walk, or chat with a\nfriend.<\/p>\n\n\n\n

In programming, your code must follow the\nrules of a language and logic exactly, so even missing a quotation mark will\nbreak everything. Fresh eyes make a big difference.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #5: Become a Bug Bounty Hunter<\/h6>\n\n\n\n

Speaking of hitting a bug, it is inevitable\nonce you start writing complex programs that you will run into bugs in your\ncode. It happens to all of us! Don\u2019t let bugs frustrate you. Instead, embrace\nthese moments with pride and think of yourself as a bug bounty hunter.<\/p>\n\n\n\n

When debugging, it is important to have a\nmethodological approach to help you find where things are breaking down. Going\nthrough your code in the order in which it is executed and making sure each\npart works is a great way to do this.<\/p>\n\n\n\n

Tip #6: Surround Yourself with Others Who Are Learning<\/h6>\n\n\n\n

Though coding may seem like a solitary\nactivity, it actually works best when you work together. It is extremely\nimportant when you are learning to code in Python that you surround yourself\nwith other people who are learning as well. This will allow you to share the\ntips and tricks you learn along the way.<\/p>\n\n\n\n

Tip #7: Teach       <\/h6>\n\n\n\n

It is said that the best way to learn\nsomething is to teach it. This is true when you are learning Python. There are\nmany ways to do this: white boarding with other Python lovers, writing blog\nposts explaining newly learned concepts, recording videos in which you explain\nsomething you learned, or simply talking to yourself at your computer. Each of\nthese strategies will solidify your understanding as well as expose any gaps in\nyour understanding.<\/p>\n\n\n\n

Tip #8: Pair Program<\/h6>\n\n\n\n

Pair\nprogramming  is a\ntechnique that involves two developers working at one workstation to complete a\ntask. The two developers switch between being the \u201cdriver\u201d and the \u201cnavigator.\u201d\nThe \u201cdriver\u201d writes the code, while the \u201cnavigator\u201d helps guide the problem\nsolving and reviews the code as it is written. Switch frequently to get the\nbenefit of both sides.<\/p>\n\n\n\n

Pair programming has many benefits: it gives\nyou a chance to not only have someone review your code, but also see how\nsomeone else might be thinking about a problem. Being exposed to multiple ideas\nand ways of thinking will help you in problem solving when you got back to coding\non your own.<\/p>\n\n\n\n

Tip #9: Ask \u201cGOOD\u201d Questions<\/h6>\n\n\n\n

People always say there is no such thing as a\nbad question, but when it comes to programming, it is possible to ask a\nquestion badly. .<\/p>\n\n\n\n

Good questions can save a lot of time.\nSkipping any of these steps can result in back-and-forth conversations that can\ncause conflict. As a beginner, you want to make sure you ask good questions so\nthat you practice communicating your thought process, and so that people who\nhelp you will be happy to continue helping you.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #10: Build Something, Anything<\/h6>\n\n\n\n

For beginners, there are many small exercises\nthat will really help you become confident with Python, as well as develop the\nmuscle memory that we spoke about above. Once you have a solid grasp on basic\ndata structures, object-oriented programming, and writing classes, it\u2019s time to start\nbuilding!<\/p>\n\n\n\n

What you build is not as important as how you build it.  The journey of building is truly what\nwill teach you the most. You can only learn so much from reading Real Python\narticles and courses. Most of your learning will come from using Python to\nbuild something. The problems you will solve will teach you a lot.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
Tip #11: Contribute to Open Source<\/h6>\n\n\n\n

In the open-source model, software source\ncode is available publicly, and anyone can collaborate. There are many Python\nlibraries that are open-source projects and take contributions. Additionally,\nmany companies publish open-source projects. This means you can work with code\nwritten and produced by the engineers working in these companies.<\/p>\n\n\n\n

Contributing to an open-source Python project  is a great way to create extremely\nvaluable learning experiences. Let\u2019s say you decide to submit a bug fix\nrequest: you submit a pull request  for\nyour fix to be patched into the code.<\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

If you have decided to start of learning Python! 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