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 GitLab price increase. GitLab announced changesto the subscription model and price of its products. The notable change is the cancellation of the lowest $4 per person per month Bronze/Starter subscription tier. Currently, the paid purchase is $19 per person per month, so GitLab has increased the price There has been a massive uptick in abuse of free pipeline minutes available on GitLab.com to mine cryptocurrencies - which creates intermittent performance issues for GitLab.com users. To discourage such abuse, credit/debit card details are required if you choose to use GitLab.com shared runners. Credit/debit card details are not required if you bring your own runner or disable shared runners. When you provide the card, it will be verified with a one-dollar authorization transaction. No.  Scope: charge a higher price per user the more of GitLab you use. Size: Charge a higher price per seat the more users you have. These straightforward ways are not possible for the following reasons: Scope: charging more for adoption would hurt the adoption of GitLab for the whole lifecycle. In January 2018, version control is 10 times more popular than the next feature (CI). We need the features to spread organically, so people can create more value with GitLab. People are much more willing. 
 GitLab price increase - Code Worl Tip #1: Have a very specific problem you want to solve. I can't stress this enough. This really was the 'make or break' for my learning. Having a (or few) specific problems you want to solve. 1password 3 8 20 – Powerful Password Manager Butler 4 3 11 Steinberg Cubase Artist 9 5 For Mac Free Download Barcode Maker 2 23 – Barcode Font Ean13 Match Bbedit 11 6 8 – Powerful Text And Html Editor Snippetslab 1 8 4 Mm Kplayer 1 5 5 Download Free Jixipix Puzzipix Pro 1 0 99.
 Upgrade to GitLab Premium now for free, and at your next renewal receive a discounted GitLab Premium price for the next three years ($6/user/month in Year 1, $9/user/month in Year 2, and $15/user per month in Year 3) If you have more than 25 users, your GitLab Sales Representative will guide you through your transition discount offers GitLab Pricing prior to Jan 26, 2021 Update. GitLab's updated pricing page shows the benefits that were included in the Starter plan are now only available in the Premium tier at a 5x price increase, introducing a larger gap between free accounts and paying customers. The change specifically impacts those who were happy to pay for a few extras but don't need the full array of premium features 
 GitLab Pricing GitLa  Cloudy DevOps company GitLab has removed its $4.00 user/month Bronze/Starter tier, giving users the choice between paying for Premium at $19.00 or downgrading to the free tier and losing some features 
 For some this is a price increase. While the news of GitHub's pricing is great if you have a lot of repos, it is not so helpful to people who have a lot of contributors. At GitLab, we strongly believe that everyone can contribute. This message is exemplified not only in how we build our own products but also in how we price them. On GitLab.com, our free SaaS version, we offer unlimited private repositories, unlimited contributors, and unlimited CI runners, all for free 
 Roles. Product Roles. Pricing. The Pricing team owns the definition and execution of pricing strategy at GitLab. This team is incredibly strategic to GitLab's success, and has the opportunity to make a large positive financial impact through improving Average Selling Price and Average Revenue per User 
 Goldman Sachs improves from 1 build every two weeks to over a thousand per day GitLab has allowed us to dramatically increase the velocity of development in our Engineering Division. We believe GitLab's dedication to helping enterprises rapidly and effectively bring software to market will help other companies achieve the same sort of efficiencies we have seen inside Goldman Sachs. We now see some teams running and merging 1000+ CI feature branch builds a day 
 Pricing model GitLa  and executed gitlab-ctl reconfigure. gitlab-ctl restarts the affected services and the memory consumption is now very moderate. Hopefully that helps someone else. Share. Improve this answer . Follow edited Sep 13 '18 at 13:36. answered May 31 '17 at 7:44. René Link René Link. 38.9k 11 11 gold badges 84 84 silver badges 115 115 bronze badges. 1. Remember to restart the server or you will get. 
ute per user 
 GitLab Pricing Overview. GitLab pricing starts at $19.00 per user, per month. There is a free version. GitLab offers a free trial. See additional pricing details below 
 Maybe this does not look too bad from the perspective of a US company, but for us in Brazil the price hike comes coupled with an exchange rate devaluation of the BRL of about 30% in the last year, so compared to a year ago Gitlab got 15 times more expensive 
 It was not just the raw memory usage that increased, but also how the garbage collector (GC) responded to this change in anticipation of future memory use. We can see that malloc_increase_bytes jumped to ~30MB, which compares to just ~4kB for a fresh Ruby program. This figure specifies how much additional heap space the Ruby GC claims from the operating system next time it runs out of memory. Not only did we occupy more memory, we also changed the behavior of the application to.  In addition to the capabilities in lower tiers, GitLab Ultimate adds security capabilities like SAST, DAST, Dependency scanning, container scanning and a comprehensive Security Dashboard to provide a snapshot of the Security posture. It also helps organizations to manage their compliance posture through License compliance and a compliance dashboard. Organizations can improve efficiency through multi level epics to organize and prioritise initiatives as well as improve developer efficiency. Each time a new runner is registered, GitLab checks these limits against runners that have been active in the last 3 months. A runner's registration fails if it exceeds the limit for the scope determined by the runner registration token. GitLab SaaS subscribers have different limits defined per plan, affecting all projects using that plan 
 GitLab is moving to a three-tier product subscription  After GitHub hiked its prices last May, many users who were negatively impacted by the changes took a second look at competitors like Bitbucket and GitLab. GitHub switched from per-repository to per-user pricing, requiring organizations to purchase a seat for each user at $9 per user/month. This was a drastic increase when compared to the legacy plans that started at $25/month for 10 repositories and unlimited members Been using bitbucket and gitlab on and off like a distro hopper. What I need to know is the max repo size for a free user + LFS storage. I am intending to use it for Unreal Engine projects. I asked pretty much the same question over at BitBucket and I was told In Bitbucket Cloud you have a limitation of 2GB per repo. If you enable LFS, you'll get 1GB for your LFS files for free So how does Gitlab compare to that? EDIT: According to this p. 
 GitLab Drops Bronze/Starter Tier in Pricing Update  GitLab, the increasingly popular DevOps platform, today announced a major update to its subscription model. The company is doing away with its $4/month Bronze/Starter package. Current users will. 
 料金. GitLab.com. GitLabがホストするSaaSを利用. セルフマネージド. オンプレミス、またはクラウドにインストールして利用. Free. 開発者がアプリケーションをビルド・デプロイ・実行するのをサポートします。. $0. 1ユーザー 
 The gitlab:check Rake task runs the following Rake tasks: gitlab:gitlab_shell:check. gitlab:gitaly:check. gitlab:sidekiq:check. gitlab:app:check. It checks that each component was set up according to the installation guide and suggest fixes for issues found. This command must be run from your application server and doesn't work correctly on. 
 In 2011, Netflix tried to steer customers away from mailed DVDs and dropped a 60% price increase in the midst of a recession. GitLab's new pricing page is simple, intuitive, and does an. Price Increase Letter Complaint Sample Author: gitlab.inaba.ac.id-2021-06-06-00-19-32 Subject: Price Increase Letter Complaint Sample Keywords: price,increase,letter,complaint,sample Created Date: 6/6/2021 12:19:32 A How generous of GitHub to slash prices and make allits core features free. So what gives? Oh right, GitLab No coincidence that new offer closely matches that from smaller rival. Tim Anderson Wed 15 Apr 2020 // 12:20 UTC. Share. Copy. 20. 20. Copy. GitHub is giving away its core services for free and has slashed the price of its paid Team plan by more than half - from $9 per user to $4. The. . Change the values of idp_cert_fingerprint , idp_sso_target_url , name_identifier_format to match your IdP With some adjustments, GitLab can run comfortably on much lower specifications than described in minimum requirements or the reference architectures. The following sections contain advice that will allow GitLab to run in environments that do not meet the minimum requirements. While most GitLab parts should be functional with these settings in place, you may experience unexpected degradation of both product functionality and performance. You should be able to run GitLab with up to 5. 
 11. You need to use only syntax: only: - tags. This would trigger for any Tag being pushed. If you want to be a bit more specific you can do: only: - /Ticket/ticket_.*/. which would build for any push with the Ticket/ticket_ tag. Share This happens when performing a GitLab upgrade. The GitLab database account requires access to do this. GitLab creates and modifies tables during the upgrade process, and also as part of normal operations to manage partitioned tables. You should not modify the GitLab schema (for example, adding triggers or modifying tables). Database migrations are tested against the schema definition in the GitLab code base. GitLab version upgrades may fail if the schema is modified Whether you're starting an open source projector choosing new tools for your team, we've got you covered 
 GitLab removes its 'starter' tier: Users must either pay  Increasing the average price by 1% grows the average gross profit by 8%. 1.0% price increase raises the average profit of an S&P 1500 company by 8.0% according to McKinsey, image by author (CC with attribution) This due to a simple mathematical property of pricing called margin leverage: since the cost structure remains the same regardless of pricing and discounting, the sensitivity of margin. 
 GitLab, a popular solution for smart software development on top of Git, recently announced a price increase for on-premise (self-hosted) editions: GitLab EES is changing in price from $39 per person per year to $48 and will now be called: GitLab Starter GitLab EEP is changing in price from $199 per person per year to [ 
 7.6k members in the gitlab community. GitLab is open source software to collaborate on code. Create projects and repositories, manage access and do Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts. Log In Sign Up. User account menu. 1. GitLab Enterprise Edition price change. Close. 1. Posted by 4 years ago. Archived. GitLab Enterprise Edition. 
 Another user on Twitter notes that part of the issue may come in the fact that they are not using the services to its fullest, and that perhaps the new price simply reflects the value of a team who buys in fully. It's hard to justify an eventual $15 per user price increase, but that's because we're not using GitLab to it's fullest. 
 GitLab has an estimated 30 million+ users (both Paid and Free) from startups to global enterprises, including Ticketmaster, Jaguar Land Rover, NASDAQ, Dish Network, and Comcast trust GitLab to. 
 It is the company Q1 goal to make GitLab.com render 99% of pages in less than 1 second. Sounds promising. We'll see how it goes. What if you want to have fast and reliable GitLab right now? Well, you should just go self-hosted, like Codepen did. Why self-hosted GitLab could be slow. Wait, what? You're already using self-hosted GitLab and it. 
utes and focus on running your business quickly instead of worrying about the infrastructure 
 - Drove pricing & packaging optimizations that generated an 8.4% increase in the effective price per 1,000 emails in 2018, despite competingin a staples market with heavy price pressur . That program is now being extended to include a GitLab for Campuses offer, which makes the GitLab platform available to multiple users at a reduced price Alternatives to GitLab. Compare GitLab alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to GitLab in 2021. Compare features, ratings, user reviews, pricing, and more from GitLab competitors and alternatives in order to make an informed decision for your business I want to have a gitlab CI in which a file named version will be read out (content will be like 1.1.0) and release my nuget with this version and then increase the minor number for the next time (e.g. 1.2.0 then). this is my file now The monthly price advertised is the max amount per month, the actual cost will depend on the number of node hours consumed within the billing period. Learn more. Container Registry. Easily store and manage private container images with a registry that integrates directly with DigitalOcean Kubernetes. Learn more. Features Free Basic $5 Professional $20; Repositories: 1: 5: Unlimited: Storage. 
 The future of SaaS hosted Git repository pricing GitLa  produce, but the long-term effect is a sharp increase in price, or even com-plete lack of availability due to the inability of the soil to continue supporting yields. In addition to this impact, there are corollary impacts such as costs to downstream farms and cities, as well as to the farmer and eaters of the food themselves in the form of malnutrition and bioaccumulation of toxins. In this. 
 More specifically, based on a 7-day moving average exposure measure, a 1 microgram per meter cubed increase in PM2.5 and a 1 ppb increase in O3 led to an increase of approximately increase of 0.84% 2.22 and 1.85% 4.88 daily respiratory related hospital visits per metropolitan area, respectively. We, however, do not find any significant contemporaneous effects of exposure to higher levels of. 
 Working with Merge Requests in GitLab. Now let's find out how to use Merge Request feature in GitLab to improve the code review process. Navigate to Merge Requests and click New merge request. Choose Source branch that you want to merge and Target branch which will be the destination. Same as Bitbucket, GitLab gives you the opportunity to choose who will review this request. It's also. 
 Pointing to the GitLab 2021 DevSecOps survey as evidence, where 75% of respondents said they use AI/ML for testing and code review — an increase from 41% the year before — DeSanto said the path forward was clear 
g a certified GitLab Engineer. DevOpsSchool put every steps forward to instruct participants. 
 GitLab's updated pricing page shows the benefits that were included in the Starter plan are now only available in the Premium tier at a 5x price increase, introducing a larger gap between free accounts and paying customers 

 Each platform offers slightly different offerings at higher price points. For example, Github offers a 99.95% uptime SLA and 24/5 tech support starting at $21 per userper month, Bitbucket offers security features like IP whitelisting and required two-step verification starting at $5 per user per month, and Gitlab will give you more CI build minutes and a host of project management features.  GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers CHARLOTTE, N.C., April 30, 2021 /PRNewswire-PRWeb/ -- Axcelinno, a leading technology consulting firm and a reseller of cloud, middleware, and DevOps technologies, announced it has achieved GitLab Certified Professional Services Partner (PSP) status in the GitLab Channel Services Program. Customers use GitLab's unified DevOps platform to streamline software development complexity, increase. GitLab, which offers a DevOps platform to help move applications through the programming lifecycle, has confirmed it oversaw a $195 million secondary sale that values the company at $6 billion. The company's impressive valuation comes after its most recent 2019 Series E in which it raised $268 million on a 2.75 billion valuation, an increase of $3.25 billion in under 18 months 
 An anonymous reader writes: GitLab, the increasingly popular DevOps platform, today announced a major update to its subscription model.The company is doing away with its $4/month Bronze/Starter package.Current users will be able to renew one more time at the existing price or move to a higher tier (and receive a significant discount forthe first three years after they do so) Price list Get pricing details for individual products. GitLab is an open source application that helps its users plan, store, test, and deploy their source code. Its core functionality is that of a source code management platform, but it also includes features for project management, continuous integration, and continuous deployment. In this tutorial, you deploy the following architecture.  In many cases, the choice boils down to the following: if you are working on a large open-source project that involves collaboration of many developers worldwide, then GitHub is your best bet; if the price is an issue, go for GitLab. Still you should carefully evaluate your objectives and only after that choose the repository management platform that suits your needs best 
 Customers use GitLab's unified DevOps platform to streamline software development complexity, increase productivity, and accelerate time to market. As a GitLab Certified PSP, GitLab recognizes.  Sid Sijbrandij is the Co-founder and CEO of GitLab — an all-remote company and complete DevOps platform. As a company, they have their eyes set on taking the company public to IPO and they're very outspoken about their culture, open handbook, and how they work as an all-remote company. We talk through where Sid came fr. GitLab; LayerCI; TeamCity; Other limits. Docker Hub also has an overall rate limit to protect the application and infrastructure. This limit applies to all requests to Hub properties including web pages, APIs, image pulls, etc. The limit is applied per-IP, and while the limit changes over time depending on load and other factors, it is in the. Book ***** Print on Demand *****.An input-output model is used to analyze price pass-through eBects of a minimum wage increase on prices of the food and kindred products and food-service industries. These sectors employ a disproportionate share of minimum wage workers, but results suggest a $0.50 increase in the presen Gitlab have certainly improved their installation process and they have provided some great information at https: increase return on investment (ROI) and enjoy Enterprise-grade virtualization features and benefits at SMB price today! Explore VSAN from StarWind StarWind VSAN White Paper. Using an Internal CA. Utilising an internal CA requires a couple of things to be modified on the Gitlab. 
 Pricing GitLa  With the cloud option, we host Jira Service Management in the cloud for you and set up your instance instantly.You can create a free account, or try a paid plan for 7-days. After that, subscription pricing is month-to-month or annual. This is generally the best option for teams who want to get started quickly and teams who don't want to manage the technical complexity of hosting themselves 
g language and includes a Wiki and issue-tracking features. It has different versions: GitLab Community Edition (CE), Enterprise Edition (EE), and a GitLab-hosted version, GitLab.com. It's got over 1400 contributors and is used by major organizations like Alibaba, NASA, CERN, and more 
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 The price for the broad applicability and mathematical elegance of this approach is the significant computing cost required for the simulation of phase-field equations at large scales. Solutions of these equations typically contain sharp interfaces moving through the domain. Such structures can only be resolved with carefully tuned, adaptive discretization schemes in space and time. Even worse. 
 Why Premium? GitLa Increase your velocity so you can adapt to the market, improve your product, and reach customers faster. Enhance Collaboration Our partnership with GitLab allows Lark IT to help companies quickly recognize the value in GitLab as well as streamline the onboarding process to ensure customer success. Learn More. TECHNOLOGIES. Additional Services. IT Managed Services. Our IT consulting. Price Pass-Through (Paperback) By - Bibliogov, United States, 2012. Paperback. Book Condition: New. 246 x 189 mm. Language: English . Brand New Book ***** Print on Demand *****.An input-output model is used to analyze price pass-through effects of a minimum wage increase on prices of the food and kindred products and food-service industries. These sectors employ a disproportionate share of. 
 In the beginning, GitLab was just a tool to see your source code on a web interface. But since then, GitLab continued adding new features in order to make it an essential tool in any Git project. GitLab is a free and open-source software. But you can use it in the cloud if you prefer, for a price between 0 and $99  The price you pay is the GlitterWorld Prime market value. The price will increase / decrease with supply and demand. Skills, health and difficulty don't affect the price. Selling Items to GWP Skills, health and difficulty don't affect the price. You can sell any quality item to GWP and get the appropriate price Read PDF F.B.I. (Favor, Blessing, Increase): Living Abundantly by Unlocking God s Favor in Your Life (Paperback) Authored by Barbara Bryant Released at 2013 Filesize: 7.36 MB Reviews This publication is wonderful. It is amongst the most remarkable pdf i have got read. Its been written in an exceptionally basicway and it is merely after i finished reading through this pdf in which really. 
 GitLab. A complete DevOps platform, delivered as a single application. What our customers are saying. GitLab met our requirements and gave us the best value for the price. The feature set was more advanced than GitHub and we saw the pace and development [of GitLab] moving faster with a community that was active in delivering and contributing. . GitLab is an online Git repository manager with a wiki, issue tracking, CI and CD. It is a great way to manage git repositories on a centralized server. GitLab gives you complete control over your repositories or projects and allows you to decide whether they are public or private for free Create, review and merge GitHub pull requests and GitLab merge requests inside your IDE, with full source-tree and full file access, your favorite keybindings, built-in diff tool, and code intelligence. Get Feedback on Work-in-Progress with Pre-PR Code Reviews. CodeStream's lightweight feedback requests let you get feedback on your changes regardless of the current state of your repo, without. While the order you turnoff these devices isn't important, the order that you turn them back on is.In general, you want to turn devices on from the outside-in. If you're not sure what that means, check out the link at the beginning of this step for a complete tutorial Here are some of the factors likely to increase the chances of an audit: If your income is more than $200,000 per year, the likelihood of an audit is increased. The audit rate for persons with income of between $200,000 and $1 million is 1%, and for persons with income of more than $ 1 million, it's 2.4% 
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 How do you know when it's time to kill a product? It's certainly not a decision to take lightly. In 2011, Netflix tried to steer customers away from mailed DVDs and dropped a 60% price increase in the midst of a recession. That year, the company lost 800,000 customers, its stock price tanked almost 80%, and their management team got turned into a Saturday Night Live sketch I understand that, but the total increase of the price in a moment when 3houses are using maxPower will be 300%. Is that right 
 Microsoft acquired GitHub, a popular code-repository service used by many developers and large companies, for $7.5 billion in stock. The deal, which heightened Microsoft's focus on open-source development, aimed to increase enterprise use of GitHub and bring Microsoft's developer tools and services to new audiences. By joining forces with GitHub, CEO Satya Nadella said, we strengthen. This would mean an increase in the price of it. The author goes on to discuss that there is a very high ceiling on the potential of a successful decentralized cloud storage option. This is because the current storage capacity of the network is much larger than is currently being used. According to the article, the current capacity is a massive 4.5 petabytes. As awareness grows about. Millions and Increase Growth for any Business in 90 days. Authored by Joshua Keith Cook Released at - Filesize: 9.35 MB Reviews This pdf may be worth a read through, and much better than other. It is really basic but unexpected situations inside the 50 percent of your publication. I am delighted to let you know that this is basically the very best publication i have got read within my. 
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Video: Why Ultimate? GitLa Over the years, I've taken several programming courses, read dime-a-dozen articles, and written hundreds of programs. I could've done all of that better and faster, if I had known a few things – 'hacks', if you will. Here's 11 tips I wish I knew back then which will help you program better and faster, especially if you're just starting out.
I had been interested in programming for several years, and took many free courses on dime-a-dozen platforms over the years. They were mainly beginner level courses that were way too generous with their compliments, leading me to believe I knew how to code (barring HTML / CSS etc, which I've been quite familiar with for a while).
Then in March 2018 I was given a project as part of one of my doctoral training programme – ‘replicate the results of a 4* Finance research paper'.
Coding knowledge was presumed, so no training was provided whatsoever. I was metaphorically 'thrown into the deep end', and was pretty clueless about how I was going to tackle this issue.
Despite all the free and paid courses I had taken, the reality was finally apparent – I did not really know how to code.
But unlike my previous attempts at learning how to code, this time I had very specific problems I needed to solve.
I found that this one simple thing led to an exponentially faster, and more interesting learning experience. Along the way, I also learned a few other things to get better, faster, and have fun while doing interesting work.
Here are the Top 11 Python Tips I wish I had known when I first started coding in Python.
Tip #1: Have a very specific problem you want to solve.I can't stress this enough. This really was the 'make or break' for my learning. Having a (or few) specific problems you want to solve helps you focus on problem solving and learning code to solve those problems.
When I first started learning to code on places like CodeAcademy I felt like I was making some progress, but didn't quite know what, where, how, or why I was 'progressing'.
Although I was gaining knowledge on programming, I wasn't really able to apply it to anything I find interesting. This also made the learning experience quite boring.
The entire experience changed as soon as I had very specific problems to solve. The overarching mandate was to replicate the results of a 4* Finance journal article. Specific problems I then encountered included:
How do I…
Merge datasets?
Sort data by quintiles or deciles?
Construct, rebalance, and backtest portfolios?
Where do I…
Get data from efficiently?
Find information on how some factor F is specifically measured?
Learn how to plot dynamic graphs?
For me, these questions are a lot more interesting than say…
How do I…
Create a function that calculates quotients.
Write a for loop that iterates over a range from 1 to 10.
Print a string reversed.
Of course, these questions – however uninteresting they might seem – are important ones. And I did end up learning how to do all of them and a whole lot more. But not while asking these generic questions.
I ended up learning how to do these things by asking the more specific questions highlighted earlier. This made the whole programming experience a lot more fun, fast, and practical.
It also means that you can see tangible, measurable evidence of progress. No need for excessive and arguably shallow 'Great job!' compliments when you print('Hello World!').
Tip #2: Remember that you really don't need to know everything.Believe it or not, a large part of my day (still) goes in googling around for solutions. By no means am I a full fledged 'Python expert' at this time, but even the pros spend a lot of their time googling around for solutions.
As you go along, the complexity of what you google will increase, but the frequency will likely remain roughly the same, maybe a tad bit lesser than when you just start out.
I found this remarkably accurate image while googling stuff around. Notice how a lot of the process comes right back to Google!
So don't beat yourself up if you can't remember how to read in a text file, or delete a column, or sort values. As long as you consistently write code, a lot of the things will just 'come to you naturally'.
Make it a habit to google around and look for solutions on sites like Stack Overflow. But crucially, contrary to the image above, don't just copy and paste code from there. Instead, write it out yourself so you get used to it. Especially if you're in the 'early days' of your coding journey. I'll talk more about this further down in Tip #10. For now though…
Tip #3: Create your personal 'Code Library'This is something I started on much later into my journey, and kinda wish I had started right from the word go.
You'll often end up repeating lines of code in different projects. For instance, virtually any 'data analysis' intensive project will involve reading in a csv (or other dataset) of some kind. So you'll inevitably go:
Or perhaps rename a column of your dataframe:
Although Python's syntax is incredibly user-friendly and easy to read and understand, sometimes it's easy to mess it up. For instance, in the the df.rename() code we used above, it's easy to imagine using df.columns(0) instead of df.columns[0], which will lead to some sort of error.
A code snippets library will help you avoid making these 'easy errors'. I personally use SnippetsLab which I find insanely great! It's one of the best £10 I've ever spent. Here's what a snapshot of my library:
Prior to using SnippetsLab, if I wanted to reuse code, or refer back to a problem I know I've solved before, I'd have to…
Think about which file I solved this problem in.
Locate said file and open it.
Look for the specific line where the problem is solved.
Rewrite said solution (can't copy & paste because the variable names might be different).

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Video: Why Ultimate? GitLa Over the years, I've taken several programming courses, read dime-a-dozen articles, and written hundreds of programs. I could've done all of that better and faster, if I had known a few things – 'hacks', if you will. Here's 11 tips I wish I knew back then which will help you program better and faster, especially if you're just starting out.
I had been interested in programming for several years, and took many free courses on dime-a-dozen platforms over the years. They were mainly beginner level courses that were way too generous with their compliments, leading me to believe I knew how to code (barring HTML / CSS etc, which I've been quite familiar with for a while).
Then in March 2018 I was given a project as part of one of my doctoral training programme – ‘replicate the results of a 4* Finance research paper'.
Coding knowledge was presumed, so no training was provided whatsoever. I was metaphorically 'thrown into the deep end', and was pretty clueless about how I was going to tackle this issue.
Despite all the free and paid courses I had taken, the reality was finally apparent – I did not really know how to code.
But unlike my previous attempts at learning how to code, this time I had very specific problems I needed to solve.
I found that this one simple thing led to an exponentially faster, and more interesting learning experience. Along the way, I also learned a few other things to get better, faster, and have fun while doing interesting work.
Here are the Top 11 Python Tips I wish I had known when I first started coding in Python.
Tip #1: Have a very specific problem you want to solve.I can't stress this enough. This really was the 'make or break' for my learning. Having a (or few) specific problems you want to solve helps you focus on problem solving and learning code to solve those problems.
When I first started learning to code on places like CodeAcademy I felt like I was making some progress, but didn't quite know what, where, how, or why I was 'progressing'.
Although I was gaining knowledge on programming, I wasn't really able to apply it to anything I find interesting. This also made the learning experience quite boring.
The entire experience changed as soon as I had very specific problems to solve. The overarching mandate was to replicate the results of a 4* Finance journal article. Specific problems I then encountered included:
How do I…
Merge datasets?
Sort data by quintiles or deciles?
Construct, rebalance, and backtest portfolios?
Where do I…
Get data from efficiently?
Find information on how some factor F is specifically measured?
Learn how to plot dynamic graphs?
For me, these questions are a lot more interesting than say…
How do I…
Create a function that calculates quotients.
Write a for loop that iterates over a range from 1 to 10.
Print a string reversed.
Of course, these questions – however uninteresting they might seem – are important ones. And I did end up learning how to do all of them and a whole lot more. But not while asking these generic questions.
I ended up learning how to do these things by asking the more specific questions highlighted earlier. This made the whole programming experience a lot more fun, fast, and practical.
It also means that you can see tangible, measurable evidence of progress. No need for excessive and arguably shallow 'Great job!' compliments when you print('Hello World!').
Tip #2: Remember that you really don't need to know everything.Believe it or not, a large part of my day (still) goes in googling around for solutions. By no means am I a full fledged 'Python expert' at this time, but even the pros spend a lot of their time googling around for solutions.
As you go along, the complexity of what you google will increase, but the frequency will likely remain roughly the same, maybe a tad bit lesser than when you just start out.
I found this remarkably accurate image while googling stuff around. Notice how a lot of the process comes right back to Google!
So don't beat yourself up if you can't remember how to read in a text file, or delete a column, or sort values. As long as you consistently write code, a lot of the things will just 'come to you naturally'.
Make it a habit to google around and look for solutions on sites like Stack Overflow. But crucially, contrary to the image above, don't just copy and paste code from there. Instead, write it out yourself so you get used to it. Especially if you're in the 'early days' of your coding journey. I'll talk more about this further down in Tip #10. For now though…
Tip #3: Create your personal 'Code Library'This is something I started on much later into my journey, and kinda wish I had started right from the word go.
You'll often end up repeating lines of code in different projects. For instance, virtually any 'data analysis' intensive project will involve reading in a csv (or other dataset) of some kind. So you'll inevitably go:
Or perhaps rename a column of your dataframe:
Although Python's syntax is incredibly user-friendly and easy to read and understand, sometimes it's easy to mess it up. For instance, in the the df.rename() code we used above, it's easy to imagine using df.columns(0) instead of df.columns[0], which will lead to some sort of error.
A code snippets library will help you avoid making these 'easy errors'. I personally use SnippetsLab which I find insanely great! It's one of the best £10 I've ever spent. Here's what a snapshot of my library:
Prior to using SnippetsLab, if I wanted to reuse code, or refer back to a problem I know I've solved before, I'd have to…
Think about which file I solved this problem in.
Locate said file and open it.
Look for the specific line where the problem is solved.
Rewrite said solution (can't copy & paste because the variable names might be different).
With SnippetsLab, I can…
Search for the problem I'm trying to solve.
Rewrite solution (or copy & paste if my snippet is generic enough).
This system gets exponentially more useful as the complexity of programmes increases. Here's a totally unnecessary (but very clear) graph depicting this:
Especially because your Code Library isn't limited to just code snippets. You could also maintain 'checklists' and 'cheatsheets' to speedup your workflow even more!
Speaking of speeding up your workflow…
Tip #4: Automate your repetitive codeNOTE: Only do this once you're really comfortable coding!
Once you've got reasonably comfortable with your language of choice, it'll be worth automating some of the standard lines of code.
For instance, most of my 'financial data analysis' programmes start like this:
So rather than typing the same things every time I want to start a new 'financial data analysis' project, I just created a 'snippet' on Alfred for Mac to automate this process.
Now when I use the magic word 'cstart', it automatically pastes the text above and I'm good to go! The 'c' in cstart is just my chosen prefix (for coding), so I don't end up with that text as soon as I use the word start!
Here's what I mean:
All I need to do is paste the directory path, add a brief description about the programme, and I'm good to go!
Pro Tip: To use the magic word without getting it to activate:
Type all the letters of the magic word except the last one.
Move way from the magic word (right arrow)
Move back to the magic word (left arrow).
Type the last letter of the magic word.
The same goes for when I want to read in a csv file. Rather than defining it from scratch, I just use the magic word 'ccsv', which gives me:
Snippetslab 1 8 4 Mm Lobster ClaspThis way all I need to do is add the name of the file and I'm good to go.
Here's just one more example. I like to label sections within a programme with # above and below the heading, and this too is easy to do with the magic word 'cseccomment'
Tip #5: Write great documentation (for your own sake)Many people tend to whinge about writing documentation. The internet is also flooded with loads of programmes with little-to-no documentation whatsoever. And if you've ever read any of those, then you know it's just a bit of a pain.
As you go along, you'll end up writing tens, hundreds, perhaps thousands of programmes. And then you'll end up going back to something you wrote a few months or perhaps years ago. Well documented programmes will make for better and quicker understandability as well as reusability.
And if at some point you have an epiphany like I did about the wonders of Open Source, then you might want to share your code with other people. Well documented code will make their life easy, too.
Of course it goes without saying that if you're working on some programme with other people, you'll certainly want need to have well documented code.
Now unless you really enjoy documentation for some strange reason, I'm sure you'll agree it's not the most exciting thing to do. So here's something you can do to make the documentation process a little less painful:
Apply the Grandma (or Grandpa) test
If you're fond of your Grandma or Grandpa, and assuming they don't know how to code, write out your documentation in a way they would be able to understand easily. Crucially, they should be able to understand it well without you explaining it to them!
If you're not a fan of your Grandma or Grandpa, just think about anyone you know who doesn't know how to code but wants to learn more about what you're doing.
The bottom line… write with the end user in mind, not you.
Also, if you can spare a bit of time, it's well worth reading the official PEP8 Style Guide for Python Code.
Tip #6: Use variable names that make sense.As you go along, you'll find your programmes becoming increasingly complex. Oftentimes, single programmes can have tens – possibly hundreds – of variables. Naming them something that makes sense and is easy to understand at first sight makes for an easier programming experience.
For instance, say you're dealing with a list of customer names and for whatever reason, you want to identify customers whose names start with ‘A'.
A bad way to write this out is something like this…
It'd make better sense to write it as…
Or perhaps even better:
They all give exactly the same result, but the latter two are just a lot more readable now, aren't they?
Using names that make sense also helps minimise the amount of documentation needed. In the examples above, we probably don't need any documentation since we can see we're clearly talking about customer names. And for whatever reason, we're interested in customers whose names begin with ‘A'.
Tip #7: Choose an editor that works well for youI started off on Jupyter Notebooks and really loved coding on it. Jupyter's incredibly powerful, and feels very friendly and non-intimidating. As time went by and my needs changed, I switched over to Atom, which is my preferred and only IDE now.
I like the fact that I can use Jupyter's core features within Atom itself. For instance, being able to view dataframes, and run single line codes and see the effects then and there. I also love the fact that I can change to a dark theme (as well as hundreds of other themes). This is all thanks to all the themes and ‘packages' Atom offers as free addons.
It just makes for a much more personal coding environment.
Other well known IDEs include Sublime Text, PyCharm, and perhaps Spyder. There's a really great, detailed overview of all the Python IDEs here.
If you're just starting out on your coding journey, I strongly recommend Jupyter Notebooks. It's got just the right amount of functionality to help you get started and get on with it. It's got a clean and minimalistic feel to it, making it a great coding / development environment.
Tip #8: Save your code. Seriously.IDEs for whatever reason don't appear to have caught up to the age of autosave. I myself have had to rewrite large chunks of code simply because I didn't save my work and the editor ended up crashing for some or the other reason.
It's easy to forget to save your work especially because most of the apps you're working with will likely autosave. Take it from me – you don't really want to have to redo your work!
If I remember correctly, Jupyter does have some level of autosaving, but it's not anything like the autosave on say, Google Docs.
Atom shows you an annoyingly helpful blue dot to remind you that you have unsaved changes. There's a special sort of feeling when you see that blue dot go away after you hit cmd+s (or ctrl+s).
# Tip 9: Focus on getting better, continuously.Always ask yourself if you can achieve the same thing with fewer, cleaner lines of code. Especially when you're doing things that are repetitive.
A simplistic 'progress report' during a large for loop involving renaming thousands of files might look like this…
This would be better:
This example also goes to show that improvement shouldn't be measured by the number of lines of code you can write. And despite me very much being an 'Apple Boy', I can't seem to find a better quote to really make this point stand out. So here's Uncle Bill:
 'Measuring programming progress by lines of code is like measuring aircraft building progress by weight.' – Bill Gates # TODO: figure out how to right indent on LinkedIn posts!
That being said, if you're just starting out on Python, you might well measure your progress by the number of lines you can write. Assuming you code everyday going forward, it'll be worth changing this metric after 2 – 3 weeks.
Here's an oversimplified function that may help you keep track of your progress:
Tip #10: Stick to one language until you get goodIt's tempting to learn multiple languages, especially during the early days when you're just testing the waters.
The fact is, languages tend to be incredibly similar in terms of their capabilities. Especially the more modern languages. So if you know one language well, you'll find it fairly easy to learn another one. But learning multiple languages right from the word go is likely a guaranteed way to make life difficult.
Now that I'm quite comfortable with Python, I find reading and writing code in R quite straightforward. Of course, I find Pythonic code to be a lot more readable and user friendly, but feel that R is a pretty close contender.
And while I can't code in JavaScript yet, being able to code in Python means that I can read and understand JavaScript, as well as other languages. Bookreader 5 10 – reader for non drm e books.
# Tip 11: Have fun!Snippetslab 1 8 4 Mm To MGranted, there are times when things can get frustrating. When you're trying to do something that seems to simple in theory and it just won't do it for whatever reason.
Remember that it could be a lot worse. You could be forced to use MATLAB for instance. The horror (😉). Or one of the many other languages which don't have such an easy to read syntax and style.
Thanks to Python's multiple use cases, you can use it outside of work too! For instance, you can use Python to…
Create Amazon Alexa skills to customise your Alexa device.
Automate your home using Internet of Things (IoT) technology.
Send automated emails, WhatsApp messages, text messages – for instance, on people's birthdays.
Check the sentiment of a stock, industry, region, or country based on tweets.
Develop functional / dynamic websites from scratch.
Do anything you can imagine.
BONUS Tip: Don't reinvent the codeCoding something from scratch is amazing. It's amazing because you're literally creating something from nothing.
Thanks to Python's open source system and culture, a lot of the code you'll need is already out there. So before you start working on a massive programme / project, check GitHub and other sites that host people's programmes and packages.
In some cases, it's good to reinvent the code because it helps you gain a better understanding of why the programme works the way it does. But if you know why it works the way it does, and you know how to code it pretty much from scratch, then there's no harm in just using a package.
What you don't want, is to be in a place where you're using packages without really knowing what, why, and how they're doing whatever they're doing.
This is particularly important for troubleshooting and dealing with bugs in packages. It's extremely rare to find major issues in packages like Pandas and NumPy of course. But it's not uncommon to find errors in smaller packages. And by knowing how the programme works, you can even contribute to improving it if you find bugs, or a better way of doing it!
And that's it!So there you have it. Those are the 11 (read 12) Python Tips I wish I knew when I first started learning Python. Well done if you did read this 3,000 word post fully!
Do you have any particular tips that work well for you? Let me know in the comments!
This article was originally posted on my blog here: https://vash.uk/python-tips/
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